diff --git a/.gitignore b/.gitignore index f4a9d9d7..e97bdf93 100644 --- a/.gitignore +++ b/.gitignore @@ -22,26 +22,48 @@ examples/global-lunar-bombardment/.DS_Store examples/mare-with-rays-model2/.DS_Store +testing/ + __pycache__/ *.dat *.DS_Store +*.json + +*.xml + +*.iml + +examples/mare-with-rays-model2/CTEM + +examples/global-lunar-bombardment/CTEM + +!LOLA*.dat +!lunar*.dat +!NPF*.dat alocal.m4 *.m4 *.eps - examples/mare-with-rays-model2/CTEM + examples/global-lunar-bombardment/CTEM -examples/*/*.o* +examples/*/*.o* *.out -.vscode/* -*.sh !autogen.sh +*.sh +.vscode/* + + +examples/global-lunar-bombardment/scale.ipynb +*~ + +*.m4 +*.code-workspace diff --git a/README b/README index 619dbf2f..d5ceb71c 100644 --- a/README +++ b/README @@ -1,9 +1,10 @@ -Installing CTEM for code development +### Installing CTEM for code development ************************************ CTEM uses Autotools to automate makefile generation. To set up your system, first run the script -$ ./autogen.sh + +`$ ./autogen.sh` You may have to modify the contents of src/Makefile.am in order to set the appropriate flags for your compiler. The default file contains examples of @@ -11,23 +12,29 @@ common flags (optimized code vs. debugging code) for gfortran and ifort. Simply activate the appropriate set of flags for your system. From then on, you simply need to execute the following: -$ mkdir build + +``` $ cd build $ ../configure $ make clean $ make +``` -The executable that is generated is build/src/CTEM +The executable that is generated is `build/src/CTEM` -Running CTEM ************************************ -Example CTEM simulations are included in the examples directory. -The run parameters are controlled by the ctem.in file. +### Running CTEM +************************************ +An example CTEM simulation is included in the idl directory. You can execute the +CTEM run using the IDL frontend using: -You can execute the CTEM run using the IDL frontend using: -$ idl < start.in +`$ idl < start.in` -or with the Python frontend using: -$ python ctem_driver.py +Alternatively you may wish to use the Python front end. + + +`$ python3 ctem_driver.py` + +The run parameters are controlled by the ctem.in file. diff --git a/README.md b/README.md new file mode 100644 index 00000000..8d4f6ef0 --- /dev/null +++ b/README.md @@ -0,0 +1,39 @@ +### Installing CTEM for code development +************************************ + +CTEM uses Autotools to automate makefile generation. To set up your system, +first run the script + +`$ ./autogen.sh` + +You may have to modify the contents of src/Makefile.am in order to set the +appropriate flags for your compiler. The default file contains examples of +common flags (optimized code vs. debugging code) for gfortran and ifort. Simply +activate the appropriate set of flags for your system. + +From then on, you simply need to execute the following: + +``` +$ cd build +$ ../configure +$ make clean +$ make +``` + +The executable that is generated is `build/src/CTEM` + + +************************************ +### Running CTEM +************************************ +An example CTEM simulation is included in the idl directory. You can execute the +CTEM run using the IDL frontend using: + +`$ idl < start.in` + +Alternatively you may wish to use the Python front end. + + +`$ python3 ctem_driver.py` + +The run parameters are controlled by the ctem.in file. diff --git a/build/.gitignore b/build/.gitignore index 85762a25..ecd52054 100644 --- a/build/.gitignore +++ b/build/.gitignore @@ -1,3 +1,5 @@ +* +!.gitignore config* Makefile* src/* diff --git a/configure.ac b/configure.ac old mode 100755 new mode 100644 index 05cf7a1a..e14cf345 --- a/configure.ac +++ b/configure.ac @@ -1,6 +1,4 @@ -AC_INIT([Cratered Terrain Evolution Model], [1.1], - [David Minton , James Richardson ], - [CTEM]) +AC_INIT([Cratered Terrain Evolution Model],[1.5],[David Minton , James Richardson ],[CTEM]) FCFLAGS="" AC_CONFIG_AUX_DIR([config]) AC_CONFIG_SRCDIR([src/main/CTEM.f90]) @@ -9,4 +7,5 @@ AC_LANG([Fortran]) AC_PROG_FC([ifort gfortran]) AC_FC_FREEFORM AC_PROG_INSTALL -AC_OUTPUT([Makefile src/Makefile]) +AC_CONFIG_FILES([Makefile src/Makefile]) +AC_OUTPUT diff --git a/examples/global-lunar-bombardment/.gitignore b/examples/global-lunar-bombardment/.gitignore new file mode 100644 index 00000000..ce19f927 --- /dev/null +++ b/examples/global-lunar-bombardment/.gitignore @@ -0,0 +1,4 @@ +*.jpg +*.png +*.out +surface_* \ No newline at end of file diff --git a/examples/global-lunar-bombardment/.ipynb_checkpoints/scale-checkpoint.ipynb b/examples/global-lunar-bombardment/.ipynb_checkpoints/scale-checkpoint.ipynb new file mode 100644 index 00000000..cd11a2c7 --- /dev/null +++ b/examples/global-lunar-bombardment/.ipynb_checkpoints/scale-checkpoint.ipynb @@ -0,0 +1,391 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pylab as plt\n", + "from scipy.interpolate import interp1d" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv('craterscale.dat', sep='\\s+')" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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#Dimp(m)Dcrat(m)
01.000000e-096.481735e-06
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1418 rows × 2 columns

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" + ], + "text/plain": [ + " #Dimp(m) Dcrat(m)\n", + "0 1.000000e-09 6.481735e-06\n", + "1 1.020000e-09 6.583192e-06\n", + "2 1.040400e-09 6.686237e-06\n", + "3 1.061208e-09 6.790895e-06\n", + "4 1.082432e-09 6.897191e-06\n", + "... ... ...\n", + "1413 7.302589e+04 8.652002e+05\n", + "1414 7.597614e+04 9.033476e+05\n", + "1415 7.904558e+04 9.431769e+05\n", + "1416 8.223902e+04 9.847623e+05\n", + "1417 8.556147e+04 1.028181e+06\n", + "\n", + "[1418 rows x 2 columns]" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(df['#Dimp(m)'], df['Dcrat(m)'])" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Dikm = df['#Dimp(m)'] / 1000\n", + "Dckm = df['Dcrat(m)'] / 1000\n", + "\n", + "plt.plot(Dckm, Dikm)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "xnew = np.linspace(np.min(df['Dcrat(m)']), np.max(df['Dcrat(m)']))\n", + "ynew = np.linspace(np.min(df['#Dimp(m)']), np.max(df['#Dimp(m)']))\n", + "interp = interp1d(xnew, ynew)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(41608.16934796)" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "interp(500000) #crater size as input; impactor size as output" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "6.4817354382e-06" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.min(df['Dcrat(m)'])" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1028181.1762" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.max(df['Dcrat(m)'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " Generating a test crater\n", + " Dimp = 41608.169347960000 \n", + " Vimp = 15000.000000000000 \n", + " angle = 45.000000000000000 \n", + " x offset = 0.0000000000000000 \n", + " y offset = 0.0000000000000000 \n", + "\n", + " 0% ( ) Dcrat = 415695.88033222407" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "^Not 500000 like the interp..." + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "intrp2 = interp1d(ynew, xnew)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(499999.99999998)" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "intrp2(41608.16934796)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " Generating a test crater\n", + " Dimp = 41608.169347960000 \n", + " Vimp = 15000.000000000000 \n", + " angle = 90.000000000000000 \n", + " x offset = 0.0000000000000000 \n", + " y offset = 0.0000000000000000 \n", + "\n", + " 0% ( ) Dcrat = 511635.61214660661 \n", + " \n", + " \n", + " ^Just making sure the angle isn't 90°" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Generating a test crater\n", + " Dimp = 41608.169347960000 \n", + " Vimp = 18300.000000000000 \n", + " angle = 45.000000000000000 \n", + " x offset = 0.0000000000000000 \n", + " y offset = 0.0000000000000000 \n", + "\n", + " 0% ( ) Dcrat = 468296.05484295724\n", + " \n", + " ^This uses the 'correct' velocity, yet still isn't 500 km like it should be..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/global-lunar-bombardment/craterlist.in b/examples/global-lunar-bombardment/craterlist.in new file mode 100644 index 00000000..86be1cc8 --- /dev/null +++ b/examples/global-lunar-bombardment/craterlist.in @@ -0,0 +1,74 @@ +# Dcrat(m) vel(m/s) ang(deg) lat(lunar_deg) long(lunar_deg) t(Ga) +2050000 18.3e3 45.0 -54.0 190.0 4.31 +690000 18.3e3 45.0 -4.6 52.0 4.309 +264656 18.3e3 45.0 -15.61332546 69.3302824 4.308 +326000 18.3e3 45.0 0.8 0.5 4.307 +330000 18.3e3 45.0 11.3 351.1 4.306 +260000 18.3e3 45.0 7.2 341.8 4.305 +410000 18.3e3 45.0 14.2 3.1 4.304 +374000 18.3e3 45.0 39.5 218.0 4.303 +880000 18.3e3 45.0 -35.5 96.0 4.302 +450000 18.3e3 45.0 -53.5 24.0 4.301 +835450 18.3e3 45.0 -18.62889246 344.6275284 4.3 +730000 18.3e3 45.0 -7.7 26.8 4.295 +308094 18.3e3 45.0 59.27627528 212.7525524 4.29 +319231 18.3e3 45.0 -32.80724329 163.6812023 4.28 +220000 18.3e3 45.0 -37.25 147.4 4.27 +378676 18.3e3 45.0 -81.07525086 123.29507 4.263 +290000 18.3e3 45.0 27.7 268.2 4.262 +212469 18.3e3 45.0 -16.00128558 293.9277616 4.261 +886977 18.3e3 45.0 -1.825465537 86.643846 4.26 +359054 18.3e3 45.0 25.10176659 190.1586435 4.257 +350250 18.3e3 45.0 -55.45675 314.7328254 4.24 +311641 18.3e3 45.0 -57.31934795 163.1532724 4.234 +205004 18.3e3 45.0 40.23031791 251.638764 4.233 +275673 18.3e3 45.0 -28.12752755 251.4752918 4.232 +314000 18.3e3 45.0 49.4 179.0 4.231 +393547 18.3e3 45.0 13.45214311 201.8355846 4.23 +315767 18.3e3 45.0 51.34935346 237.4660505 4.229 +210000 18.3e3 45.0 35.7 16.8 4.228 +255770 18.3e3 45.0 -19.66310347 149.3783832 4.226 +240785 18.3e3 45.0 -19.67249958 123.3894353 4.225 +226910 18.3e3 45.0 42.1224033 241.0298572 4.224 +250897 18.3e3 45.0 -31.48490896 112.8567971 4.222 +658628 18.3e3 45.0 27.02355091 18.8607004 4.22 +221894 18.3e3 45.0 -11.6594669 104.8591143 4.216 +245208 18.3e3 45.0 -46.9757255 176.3039635 4.213 +211558 18.3e3 45.0 -22.49490849 352.9452915 4.21 +216511 18.3e3 45.0 -32.60970161 354.7296497 4.205 +333285 18.3e3 45.0 34.36310409 262.9001708 4.2 +220895 18.3e3 45.0 57.65611017 261.1243421 4.195 +210024 18.3e3 45.0 -14.1118114 207.354835 4.19 +233749 18.3e3 45.0 -38.34957695 179.1268146 4.186 +199964 18.3e3 45.0 -44.53551179 305.0047616 4.183 +265187 18.3e3 45.0 40.37696785 98.55965302 4.18 +221563 18.3e3 45.0 45.45055682 152.8752047 4.176 +370000 18.3e3 45.0 4.8 23.4 4.173 +914999 18.3e3 45.0 -14.46498859 34.667295 4.17 +582285 18.3e3 45.0 18.3492662 175.0038852 4.141 +233783 18.3e3 45.0 -5.010529467 291.3107245 4.14 +475882 18.3e3 45.0 -36.06581235 208.2781341 4.139 +320524 18.3e3 45.0 -57.39129925 135.0916217 4.132 +231696 18.3e3 45.0 51.05426018 164.8361278 4.131 +635875 18.3e3 45.0 -50.09793662 266.3026523 4.13 +330791 18.3e3 45.0 5.443621698 141.1357112 4.128 +205592 18.3e3 45.0 -35.37554544 193.9546907 4.12 +417139 18.3e3 45.0 -4.44301171 202.529925 4.11 +218802 18.3e3 45.0 -10.11195196 156.8421346 4.1 +628680 18.3e3 45.0 27.48770128 148.7715485 4.094 +401559 18.3e3 45.0 26.12735269 147.0496675 4.093 +220531 18.3e3 45.0 -58.69456785 -14.7671648 4.092 +207028 18.3e3 45.0 70.33554386 120.0916322 4.091 +407689 18.3e3 45.0 -24.68698867 320.3032688 4.09 +549393 18.3e3 45.0 2.02469787 230.8428995 4.089 +603126 18.3e3 45.0 57.23607662 81.9745336 4.08 +204083 18.3e3 45.0 61.5741765 90.19942127 4.076 +252194 18.3e3 45.0 -68.64688088 109.0653245 4.074 +299358 18.3e3 45.0 -67.18128041 291.2041322 4.073 +372000 18.3e3 45.0 16.5 66 4.071 +1091521 18.3e3 45.0 16.97625333 59.8465947 4.07 +1113841 18.3e3 45.0 33.46347978 342.5932292 3.87 +312747 18.3e3 45.0 -74.8652181 133.5337028 3.86 +928472 18.3e3 45.0 -19.73452267 265.4434194 3.81 +205511 18.3e3 45.0 -27.0857633 80.81672154 3.7 +233931 18.3e3 45.0 44.52984365 328.81901 3.65 \ No newline at end of file diff --git a/examples/global-lunar-bombardment/craterproduction.py b/examples/global-lunar-bombardment/craterproduction.py new file mode 100644 index 00000000..4d81b687 --- /dev/null +++ b/examples/global-lunar-bombardment/craterproduction.py @@ -0,0 +1,216 @@ +import numpy as np +from scipy import optimize + +# The Neukum production function for the Moon and Mars +#Lunar PF from: Ivanov, Neukum, and Hartmann (2001) SSR v. 96 pp. 55-86 +#Mars PF from: Ivanov (2001) SSR v. 96 pp. 87-104 +sfd_coef = { + "NPF_Moon" : [-3.0876,-3.557528,+0.781027,+1.021521,-0.156012,-0.444058,+0.019977,+0.086850,-0.005874,-0.006809,+8.25e-4, +5.54e-5], + "NPF_Mars" : [-3.384, -3.197, +1.257, +0.7915, -0.4861, -0.3630, +0.1016, +6.756e-2,-1.181e-2,-4.753e-3,+6.233e-4,+5.805e-5] + } +sfd_range = { + "NPF_Moon" : [0.01,1000], + "NPF_Mars" : [0.015,362] +} +#Exponential time constant (Ga) +tau = 6.93 +Nexp = 5.44e-14 + +time_coef = { + "NPF_Moon" : Nexp, + "NPF_Mars" : Nexp * 10**(sfd_coef.get("NPF_Mars")[0]) / 10**(sfd_coef.get("NPF_Moon")[0]) +} + +def N1(T, pfmodel): + """ + Return the N(1) value as a function of time for a particular production function model + + Parameters + ---------- + T : numpy array + Time in units of Ga + pfmodel : string + The production function model to use + Currently options are 'NPF_Moon' or 'NPF_Mars' + + Returns + ------- + N1 : numpy array + The number of craters per square kilometer greater than 1 km in diameter + """ + T_valid_range = np.where((T <= 4.5) & (T >= 0.0), T, np.nan) + return time_coef.get(pfmodel) * (np.exp(tau * T_valid_range) - 1.0) + 10 ** (sfd_coef.get(pfmodel)[0]) * T_valid_range + +def CSFD(Dkm,planet): + """ + Return the cumulative size-frequency distribution for a particular production function model + + Parameters + ---------- + Dkm : numpy array + Diameters in units of km + pfmodel : string + The production function model to use + Currently options are 'NPF_Moon' or 'NPF_Mars' + + Returns + ------- + CSFD : numpy array + The number of craters per square kilometer greater than Dkm in diameter at T=1 Ga + """ + logCSFD = sum(co * np.log10(Dkm) ** i for i, co in enumerate(sfd_coef.get(planet))) + return 10**(logCSFD) + +def DSFD(Dkm,planet): + """ + Return the differential size-frequency distribution for a particular production function model + + Parameters + ---------- + Dkm : numpy array + Diameters in units of km + pfmodel : string + The production function model to use + Currently options are 'NPF_Moon' or 'NPF_Mars' + + Returns + ------- + DSFD : numpy array + The differential number of craters (dN/dD) per square kilometer greater than Dkm in diameter at T = 1 Ga + """ + dcoef = sfd_coef.get(planet)[1:] + logDSFD = sum(co * np.log10(Dkm) ** i for i, co in enumerate(dcoef)) + return 10**(logDSFD) * CSFD(Dkm,planet) / Dkm + +def Tscale(T,planet): + """ + Return the number density of craters at time T relative to time T = 1 Ga + + Parameters + ---------- + T : numpy array + Time in units of Ga + pfmodel : string + The production function model to use + Currently options are 'NPF_Moon' or 'NPF_Mars' + + Returns + ------- + Tscale : numpy array + N1(T) / CSFD(Dkm = 1.0) + """ + return N1(T,planet) / CSFD(1.0,planet) + +def pf_csfd(T,Dkm,planet): + """ + Return the cumulative size-frequency distribution for a particular production function model as a function of Time + + Parameters + ---------- + T : numpy array + Time in units of Ga + Dkm : numpy array + Diameters in units of km + pfmodel : string + The production function model to use + Currently options are 'NPF_Moon' or 'NPF_Mars' + + Returns + ------- + pf_csfd : numpy array + The cumulative number of craters per square kilometer greater than Dkm in diameter at time T T + """ + D_valid_range = np.where((Dkm >= sfd_range.get(planet)[0]) & (Dkm <= sfd_range.get(planet)[1]),Dkm,np.nan) + return CSFD(D_valid_range,planet) * Tscale(T,planet) + +def pf_dsfd(T,Dkm,planet): + """ + Return the differential size-frequency distribution for a particular production function model as a function of Time + + Parameters + ---------- + T : numpy array + Time in units of Ga + Dkm : numpy array + Diameters in units of km + pfmodel : string + The production function model to use + Currently options are 'NPF_Moon' or 'NPF_Mars' + + Returns + ------- + pf_dsfd : numpy array + The cumulative number of craters per square kilometer greater than Dkm in diameter at time T T + """ + D_valid_range = np.where((Dkm >= sfd_range.get(planet)[0]) & (Dkm <= sfd_range.get(planet)[1]), Dkm, np.nan) + return DSFD(D_valid_range, planet) * Tscale(T, planet) + +def T_from_scale(TS,planet): + """ + Return the time in Ga for the given number density of craters relative to that at 1 Ga. + This is the inverse of Tscale + + Parameters + ---------- + TS : numpy array + number density of craters relative to that at 1 Ga + pfmodel : string + The production function model to use + Currently options are 'NPF_Moon' or 'NPF_Mars' + + Returns + ------- + T_from_scale : numpy array + The time in Ga + """ + def func(S): + return Tscale(S,planet) - TS + return optimize.fsolve(func, np.full_like(TS,4.4),xtol=1e-10) + + +if __name__ == "__main__": + import matplotlib.pyplot as plt + import matplotlib.ticker as ticker + print("Tests go here") + print(f"T = 1 Ga, N(1) = {pf_csfd(1.0,1.00,'NPF_Moon')}") + print(f"T = 4.2 Ga, N(1) = {pf_csfd(4.2,1.00,'NPF_Moon')}") + print("Tscale test: Should return all 1s") + Ttest = np.logspace(-4,np.log10(4.4),num=100) + Tres = T_from_scale(Tscale(Ttest,'NPF_Mars'),'NPF_Mars') + print(Ttest / Tres) + #for i,t in enumerate(Ttest): + # print(t,Tscale(t,'Moon'),Tres[i]) + + CSFDfig = plt.figure(1, figsize=(8, 7)) + ax = {'NPF_Moon': CSFDfig.add_subplot(121), + 'NPF_Mars': CSFDfig.add_subplot(122)} + + tvals = [0.01,1.0,4.0] + x_min = 1e-3 + x_max = 1e3 + y_min = 1e-9 + y_max = 1e3 + Dvals = np.logspace(np.log10(x_min), np.log10(x_max)) + for key in ax: + ax[key].title.set_text(key) + ax[key].set_xscale('log') + ax[key].set_yscale('log') + ax[key].set_ylabel('$\mathregular{N_{>D} (km^{-2})}$') + ax[key].set_xlabel('Diameter (km)') + ax[key].set_xlim(x_min, x_max) + ax[key].set_ylim(y_min, y_max) + ax[key].yaxis.set_major_locator(ticker.LogLocator(base=10.0, numticks=20)) + ax[key].yaxis.set_minor_locator(ticker.LogLocator(base=10.0, subs=np.arange(2,10), numticks=100)) + ax[key].xaxis.set_major_locator(ticker.LogLocator(base=10.0, numticks=20)) + ax[key].xaxis.set_minor_locator(ticker.LogLocator(base=10.0, subs=np.arange(2,10), numticks=100)) + ax[key].grid(True,which="minor",ls="-",lw=0.5,zorder=5) + ax[key].grid(True,which="major",ls="-",lw=1,zorder=10) + for t in tvals: + prod = pf_csfd(t,Dvals,key) + ax[key].plot(Dvals, prod, '-', color='black', linewidth=1.0, zorder=50) + labeli = 15 + ax[key].text(Dvals[labeli],prod[labeli],f"{t:.2f} Ga", ha="left", va="top",rotation=-72) + + plt.tick_params(axis='y', which='minor') + plt.tight_layout() + plt.show() diff --git a/examples/global-lunar-bombardment/ctem.in b/examples/global-lunar-bombardment/ctem.in index 3266c017..470aaee4 100755 --- a/examples/global-lunar-bombardment/ctem.in +++ b/examples/global-lunar-bombardment/ctem.in @@ -10,11 +10,14 @@ testxoffset 0.0 ! x-axis offset of crater center fr testyoffset 0.0 ! y-axis offset of crater center from grid center (m) - Default 0.0 tallyonly F ! Tally the craters without generating any craters testtally F +quasimc T ! MC run constrained by non-MC 'real' craters given in a list +realcraterlist craterlist.in ! list of 'real' craters for Quasi-MC runs + ! IDL driver in uts -interval 628 -numintervals 1 ! Total number of intervals (total time = interval * numintervals) <--when runtype is 'single' +interval 6.280 +numintervals 100 ! Total number of intervals (total time = interval * numintervals) <--when runtype is 'single' restart F ! Restart a previous run impfile NPFextrap.dat ! Impactor SFD rate file (col 1: Dimp (m), col 2: ! impactors > D (m**(-2) y**(-1)) popupconsole F ! Pop up console window every output interval @@ -66,7 +69,8 @@ doangle T ! Vary the impact angle. Set to Kd1 0.0001 psi 2.000 fe 4.00 -ejecta_truncation 10.0 -dorays F +ejecta_truncation 4.0 +doregotrack F +dorays T superdomain F dorealistic F diff --git a/examples/global-lunar-bombardment/ctem_driver.py b/examples/global-lunar-bombardment/ctem_driver.py index bcab88ec..897be89e 100755 --- a/examples/global-lunar-bombardment/ctem_driver.py +++ b/examples/global-lunar-bombardment/ctem_driver.py @@ -8,14 +8,18 @@ #August 2016 #Import general purpose modules + import numpy import os import subprocess import shutil +import pandas +from scipy.interpolate import interp1d #Import CTEM modules import ctem_io_readers import ctem_io_writers +import craterproduction #craterproduction had to be cp'd to example dir #Create and initialize data dictionaries for parameters and options from CTEM.in notset = '-NOTSET-' @@ -49,7 +53,9 @@ 'datfile': 'ctem.dat', 'impfile': notset, 'sfdcompare': notset, - 'sfdfile': notset} + 'sfdfile': notset, + 'quasimc': notset, + 'realcraterlist': notset} #Read ctem.in to initialize parameter values based on user input ctem_io_readers.read_ctemin(parameters,notset) @@ -71,6 +77,51 @@ impfile = parameters['workingdir'] + parameters['impfile'] prodfunction = ctem_io_readers.read_formatted_ascii(impfile, skip_lines = 0) +if (parameters['quasimc'] == 'T'): + + #Read list of real craters + print("quasi-MC mode is ON") + craterlistfile = parameters['workingdir'] + parameters['realcraterlist'] + rclist = ctem_io_readers.read_formatted_ascii(craterlistfile, skip_lines = 0) + + #Interpolate craterscale.dat to get impactor sizes from crater sizes given + df = pandas.read_csv('craterscale.dat', sep='\s+') + df['log(Dc)'] = numpy.log(df['Dcrat(m)']) + df['log(Di)'] = numpy.log(df['#Dimp(m)']) + xnew = df['log(Dc)'].values + ynew = df['log(Di)'].values + interp = interp1d(xnew, ynew, fill_value='extrapolate') + rclist[:,0] = numpy.exp(interp(numpy.log(rclist[:,0]))) + + #Convert latitude and longitude to y- and x-offset + for lat in range(0, len(rclist[:,3])): + if numpy.abs(rclist[lat,3]) > 90.0: + print("non-physical latitude on line %i of craterlist.in. Please enter a value between -90 and 90 degrees." %(lat+1)) + quit() + else: + rclist[lat,3] = rclist[lat,3] * ((parameters['pix'] * (parameters['gridsize']/2)) / 90.0) + + for lon in range(0, len(rclist[:,4])): + if numpy.abs(rclist[lon,4]) > 360.0: + print("Non-physical longitude on line %i of craterlist.in. Please enter a value between -360 and 360 degrees." %(lon+1)) + quit() + else: + if rclist[lon,4] < -180.0: + rclist[lon,4] = 360.0 - numpy.abs(rclist[lon,4]) + elif rclist[lon,4] > 180.0: + rclist[lon,4] = -(360.0 - rclist[lon,4]) + else: + rclist[lon,4] = rclist[lon,4] + + rclist[:,4] = rclist[:,4] * ((parameters['pix'] * (parameters['gridsize']/2)) / 180.0) + + #Convert age in Ga to "interval time" + rclist[:,5] = (parameters['interval'] * parameters['numintervals']) - craterproduction.Tscale(rclist[:,5], 'NPF_Moon') + rclist = rclist[rclist[:,5].argsort()] + + #Export to dat file for Fortran use + ctem_io_writers.write_realcraters(parameters, rclist) + #Create impactor production population area = (parameters['gridsize'] * parameters['pix'])**2 production = numpy.copy(prodfunction) diff --git a/examples/global-lunar-bombardment/ctem_io_readers.py b/examples/global-lunar-bombardment/ctem_io_readers.py index a58ba9ab..c825fdc9 100644 --- a/examples/global-lunar-bombardment/ctem_io_readers.py +++ b/examples/global-lunar-bombardment/ctem_io_readers.py @@ -42,6 +42,8 @@ def read_ctemin(parameters,notset): if ('savetruelist' == fields[0].lower()): parameters['savetruelist']=fields[1] if ('runtype' == fields[0].lower()): parameters['runtype']=fields[1] if ('restart' == fields[0].lower()): parameters['restart']=fields[1] + if ('quasimc' == fields[0].lower()): parameters['quasimc']=fields[1] + if ('realcraterlist' == fields[0].lower()): parameters['realcraterlist']=fields[1] if ('shadedminh' == fields[0].lower()): parameters['shadedminh'] = float(fields[1]) parameters['shadedminhdefault'] = 0 diff --git a/examples/global-lunar-bombardment/ctem_io_writers.py b/examples/global-lunar-bombardment/ctem_io_writers.py index 5d591d9a..e7a2192c 100644 --- a/examples/global-lunar-bombardment/ctem_io_writers.py +++ b/examples/global-lunar-bombardment/ctem_io_writers.py @@ -271,4 +271,12 @@ def create_rplot(parameters,odist,pdist,tdist,ph1): matplotlib.pyplot.savefig(filename) + return + +def write_realcraters(parameters, realcraters): + """writes file of real craters for use in quasi-MC runs""" + + filename = parameters['workingdir'] + 'craterlist.dat' + numpy.savetxt(filename, realcraters, fmt='%1.8e', delimiter='\t') + return \ No newline at end of file diff --git a/examples/global-lunar-bombardment/fit.log b/examples/global-lunar-bombardment/fit.log deleted file mode 100755 index b9b5a580..00000000 --- a/examples/global-lunar-bombardment/fit.log +++ /dev/null @@ -1,5829 +0,0 @@ - - -******************************************************************************* -Sat Jul 28 14:38:57 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 224 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.6145569219e-09 -1.43e-06 2.01e-07 6.264901e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.61456e-09 -rel. change during last iteration : -1.42934e-11 - -degrees of freedom (FIT_NDF) : 223 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.69076e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.24017e-12 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0062649 +/- 7.503e-06 (0.1198%) - - -******************************************************************************* -Sat Jul 28 14:38:58 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 252 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.9403833656e-09 -3.42e-07 2.07e-07 6.761103e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.94038e-09 -rel. change during last iteration : -3.42279e-12 - -degrees of freedom (FIT_NDF) : 251 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.42267e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.17147e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0067611 +/- 8.77e-06 (0.1297%) - - -******************************************************************************* -Sat Jul 28 14:38:59 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 269 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.5329329434e-09 -1.52e-07 2.08e-07 7.092983e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.53293e-09 -rel. change during last iteration : -1.51895e-12 - -degrees of freedom (FIT_NDF) : 268 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.63078e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.31826e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00709298 +/- 8.921e-06 (0.1258%) - - -******************************************************************************* -Sat Jul 28 14:38:59 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 289 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 5.7921089035e-09 -2.60e-08 2.07e-07 7.622385e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 5.79211e-09 -rel. change during last iteration : -2.59917e-13 - -degrees of freedom (FIT_NDF) : 288 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.48458e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.01115e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00762238 +/- 1.072e-05 (0.1407%) - - -******************************************************************************* -Sat Jul 28 14:39:00 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 316 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 1.7905735098e-08 -6.95e-01 2.09e-06 8.147425e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 1.79057e-08 -rel. change during last iteration : -6.95483e-06 - -degrees of freedom (FIT_NDF) : 315 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.53947e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 5.68436e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00814742 +/- 1.702e-05 (0.2089%) - - -******************************************************************************* -Sat Jul 28 14:39:00 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 293 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.1040574354e-08 -1.22e-08 2.10e-07 7.661191e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.10406e-08 -rel. change during last iteration : -1.21823e-13 - -degrees of freedom (FIT_NDF) : 292 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.149e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.78102e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00766119 +/- 1.437e-05 (0.1875%) - - -******************************************************************************* -Sat Jul 28 14:39:01 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 210 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 5.3779188352e-09 -6.44e-07 1.99e-07 5.996687e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 5.37792e-09 -rel. change during last iteration : -6.43989e-12 - -degrees of freedom (FIT_NDF) : 209 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.07264e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.57317e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00599669 +/- 1.478e-05 (0.2465%) - - -******************************************************************************* -Sat Jul 28 14:39:02 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 223 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.5485860937e-09 -2.89e-07 1.99e-07 6.311998e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.54859e-09 -rel. change during last iteration : -2.89315e-12 - -degrees of freedom (FIT_NDF) : 222 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.83118e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.40026e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.006312 +/- 1.649e-05 (0.2613%) - - -******************************************************************************* -Sat Jul 28 14:39:02 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 162 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 4.7717292750e-09 -3.82e-06 2.03e-07 4.732492e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 4.77173e-09 -rel. change during last iteration : -3.82359e-11 - -degrees of freedom (FIT_NDF) : 161 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.44409e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.96381e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00473249 +/- 1.77e-05 (0.374%) - - -******************************************************************************* -Sat Jul 28 14:39:03 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 186 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.6861568890e-09 -3.65e-06 2.08e-07 5.176532e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.68616e-09 -rel. change during last iteration : -3.6485e-11 - -degrees of freedom (FIT_NDF) : 185 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.81048e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.45198e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00517653 +/- 1.128e-05 (0.2179%) - - -******************************************************************************* -Sat Jul 28 14:39:04 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 210 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.4545390984e-09 -1.89e-06 2.08e-07 5.738904e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.45454e-09 -rel. change during last iteration : -1.89012e-11 - -degrees of freedom (FIT_NDF) : 209 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.42698e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.17442e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0057389 +/- 9.555e-06 (0.1665%) - - -******************************************************************************* -Sat Jul 28 14:39:04 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 219 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.4064175659e-09 -8.28e-07 2.03e-07 6.135158e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.40642e-09 -rel. change during last iteration : -8.27917e-12 - -degrees of freedom (FIT_NDF) : 218 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.95294e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.56258e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00613516 +/- 1.106e-05 (0.1803%) - - -******************************************************************************* -Sat Jul 28 14:39:05 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 249 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.1802220478e-09 -5.05e-07 2.07e-07 6.718502e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.18022e-09 -rel. change during last iteration : -5.04965e-12 - -degrees of freedom (FIT_NDF) : 248 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.965e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 8.79122e-12 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0067185 +/- 7.632e-06 (0.1136%) - - -******************************************************************************* -Sat Jul 28 14:39:05 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 270 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 4.8014949456e-09 -1.07e-07 2.09e-07 7.121284e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 4.80149e-09 -rel. change during last iteration : -1.06673e-12 - -degrees of freedom (FIT_NDF) : 269 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.22486e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.78494e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00712128 +/- 1.032e-05 (0.1449%) - - -******************************************************************************* -Sat Jul 28 14:39:06 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 300 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.2916178272e-08 -8.04e-09 2.11e-07 7.733467e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.29162e-08 -rel. change during last iteration : -8.0437e-14 - -degrees of freedom (FIT_NDF) : 299 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.57251e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.31979e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00773347 +/- 1.507e-05 (0.1949%) - - -******************************************************************************* -Sat Jul 28 14:39:07 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 318 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 2.3197627616e-08 -6.63e-01 2.13e-06 8.123171e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 2.31976e-08 -rel. change during last iteration : -6.63255e-06 - -degrees of freedom (FIT_NDF) : 317 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.55445e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.31786e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00812317 +/- 1.893e-05 (0.233%) - - -******************************************************************************* -Sat Jul 28 14:39:08 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 336 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 4.1462150873e-08 -9.21e-03 2.15e-06 8.444374e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 4.14622e-08 -rel. change during last iteration : -9.2068e-08 - -degrees of freedom (FIT_NDF) : 335 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.11251e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.23768e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00844437 +/- 2.371e-05 (0.2808%) - - -******************************************************************************* -Sat Jul 28 14:39:08 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 360 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 4.6001237619e-08 -1.40e-09 2.13e-07 9.081382e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 4.60012e-08 -rel. change during last iteration : -1.39538e-14 - -degrees of freedom (FIT_NDF) : 359 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.13198e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.28137e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00908138 +/- 2.356e-05 (0.2594%) - - -******************************************************************************* -Sat Jul 28 14:39:09 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 371 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 4.1146047017e-08 -2.72e-09 2.12e-07 9.349989e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 4.1146e-08 -rel. change during last iteration : -2.718e-14 - -degrees of freedom (FIT_NDF) : 370 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.05454e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.11206e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00934999 +/- 2.166e-05 (0.2316%) - - -******************************************************************************* -Sat Jul 28 14:39:10 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 365 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.6223001904e-08 -4.11e-09 2.11e-07 9.317246e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.6223e-08 -rel. change during last iteration : -4.11335e-14 - -degrees of freedom (FIT_NDF) : 364 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.48771e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.20412e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00931725 +/- 1.77e-05 (0.1899%) - - -******************************************************************************* -Sat Jul 28 14:39:10 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 390 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.8936396646e-08 -6.76e-09 2.09e-07 9.998927e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.89364e-08 -rel. change during last iteration : -6.76422e-14 - -degrees of freedom (FIT_NDF) : 389 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.00047e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.00094e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00999893 +/- 2.04e-05 (0.2041%) - - -******************************************************************************* -Sat Jul 28 14:39:11 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 387 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.8044834638e-08 -1.01e-08 2.07e-07 1.005534e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.80448e-08 -rel. change during last iteration : -1.01463e-13 - -degrees of freedom (FIT_NDF) : 386 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.52379e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.2655e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0100553 +/- 1.76e-05 (0.1751%) - - -******************************************************************************* -Sat Jul 28 14:39:11 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 385 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.0245170129e-08 -1.42e-08 2.06e-07 1.005685e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.02452e-08 -rel. change during last iteration : -1.4186e-13 - -degrees of freedom (FIT_NDF) : 384 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.26098e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 5.27218e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0100568 +/- 1.511e-05 (0.1502%) - - -******************************************************************************* -Sat Jul 28 14:39:12 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 390 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.7686433664e-08 -2.02e-08 2.03e-07 1.030466e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.76864e-08 -rel. change during last iteration : -2.01669e-13 - -degrees of freedom (FIT_NDF) : 389 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.74288e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.54664e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0103047 +/- 1.411e-05 (0.137%) - - -******************************************************************************* -Sat Jul 28 14:39:13 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 402 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.2908888659e-08 -1.83e-08 2.04e-07 1.055391e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.29089e-08 -rel. change during last iteration : -1.82703e-13 - -degrees of freedom (FIT_NDF) : 401 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.5584e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 5.71294e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0105539 +/- 1.553e-05 (0.1472%) - - -******************************************************************************* -Sat Jul 28 14:39:13 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 410 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.0383727578e-08 -1.73e-08 2.00e-07 1.092809e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.03837e-08 -rel. change during last iteration : -1.72712e-13 - -degrees of freedom (FIT_NDF) : 409 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.61904e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.42878e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0109281 +/- 1.784e-05 (0.1632%) - - -******************************************************************************* -Sat Jul 28 14:39:14 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 420 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.3359792671e-08 -1.88e-08 1.98e-07 1.130011e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.33598e-08 -rel. change during last iteration : -1.88448e-13 - -degrees of freedom (FIT_NDF) : 419 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.92287e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.96176e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0113001 +/- 1.846e-05 (0.1634%) - - -******************************************************************************* -Sat Jul 28 14:39:14 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 424 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.6387112667e-08 -2.57e-08 1.97e-07 1.147598e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.63871e-08 -rel. change during last iteration : -2.56802e-13 - -degrees of freedom (FIT_NDF) : 423 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.89816e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 6.23809e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.011476 +/- 1.637e-05 (0.1427%) - - -******************************************************************************* -Sat Jul 28 14:39:15 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 431 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.1061292306e-08 -2.32e-08 1.97e-07 1.165620e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.10613e-08 -rel. change during last iteration : -2.32432e-13 - -degrees of freedom (FIT_NDF) : 430 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.49915e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.22356e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0116562 +/- 1.749e-05 (0.15%) - - -******************************************************************************* -Sat Jul 28 14:39:16 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 446 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.3333107036e-08 -2.45e-08 1.96e-07 1.205096e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.33331e-08 -rel. change during last iteration : -2.44781e-13 - -degrees of freedom (FIT_NDF) : 445 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.65482e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.49059e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.012051 +/- 1.754e-05 (0.1456%) - - -******************************************************************************* -Sat Jul 28 14:39:16 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 414 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.0033094329e-08 -3.19e-08 1.95e-07 1.131081e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.00331e-08 -rel. change during last iteration : -3.18764e-13 - -degrees of freedom (FIT_NDF) : 413 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.96465e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.85063e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0113108 +/- 1.477e-05 (0.1305%) - - -******************************************************************************* -Sat Jul 28 14:39:17 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 428 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.1338529659e-08 -2.31e-08 1.95e-07 1.165511e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.13385e-08 -rel. change during last iteration : -2.30587e-13 - -degrees of freedom (FIT_NDF) : 427 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.56693e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.33923e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0116551 +/- 1.786e-05 (0.1532%) - - -******************************************************************************* -Sat Jul 28 14:39:17 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 220 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.5489888639e-08 -1.19e-07 1.88e-07 6.410000e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.54899e-08 -rel. change during last iteration : -1.18551e-12 - -degrees of freedom (FIT_NDF) : 219 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.41012e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.07301e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00641 +/- 2.54e-05 (0.3963%) - - -******************************************************************************* -Sat Jul 28 14:39:18 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 243 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 9.9560790013e-09 -9.97e-08 1.94e-07 6.762332e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 9.95608e-09 -rel. change during last iteration : -9.96663e-13 - -degrees of freedom (FIT_NDF) : 242 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.41411e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.11408e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00676233 +/- 1.778e-05 (0.263%) - - -******************************************************************************* -Sat Jul 28 14:39:19 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 263 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.0855417009e-08 -3.45e-08 1.93e-07 7.261641e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.08554e-08 -rel. change during last iteration : -3.44728e-13 - -degrees of freedom (FIT_NDF) : 262 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.43684e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.14329e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00726164 +/- 1.725e-05 (0.2375%) - - -******************************************************************************* -Sat Jul 28 14:39:19 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 221 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 4.2823690200e-09 -5.69e-07 1.94e-07 6.175123e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 4.28237e-09 -rel. change during last iteration : -5.687e-12 - -degrees of freedom (FIT_NDF) : 220 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.41195e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.94653e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00617512 +/- 1.282e-05 (0.2076%) - - -******************************************************************************* -Sat Jul 28 14:39:20 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 203 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 4.8471191923e-09 -1.02e-06 1.97e-07 5.642567e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 4.84712e-09 -rel. change during last iteration : -1.02462e-11 - -degrees of freedom (FIT_NDF) : 202 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.89853e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.39956e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00564257 +/- 1.464e-05 (0.2594%) - - -******************************************************************************* -Sat Jul 28 14:39:20 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 226 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 4.4598973998e-09 -5.97e-07 2.02e-07 6.079097e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 4.4599e-09 -rel. change during last iteration : -5.96771e-12 - -degrees of freedom (FIT_NDF) : 225 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.45216e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.98218e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0060791 +/- 1.235e-05 (0.2031%) - - -******************************************************************************* -Sat Jul 28 14:39:21 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 239 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 5.0913671193e-09 -3.50e-07 2.02e-07 6.340736e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 5.09137e-09 -rel. change during last iteration : -3.49613e-12 - -degrees of freedom (FIT_NDF) : 238 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.62518e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.13923e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00634074 +/- 1.245e-05 (0.1963%) - - -******************************************************************************* -Sat Jul 28 14:39:21 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 256 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.6751703989e-09 -1.46e-07 2.06e-07 6.623102e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.67517e-09 -rel. change during last iteration : -1.45861e-12 - -degrees of freedom (FIT_NDF) : 255 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.48623e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.00987e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0066231 +/- 1.4e-05 (0.2114%) - - -******************************************************************************* -Sat Jul 28 14:39:22 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 259 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.0385168525e-08 -9.29e-08 2.06e-07 6.723095e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.03852e-08 -rel. change during last iteration : -9.28721e-13 - -degrees of freedom (FIT_NDF) : 258 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.34449e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.02526e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00672309 +/- 1.608e-05 (0.2392%) - - -******************************************************************************* -Sat Jul 28 14:39:23 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 280 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.0403445399e-08 -2.17e-08 2.08e-07 7.136262e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.04034e-08 -rel. change during last iteration : -2.16977e-13 - -degrees of freedom (FIT_NDF) : 279 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.55164e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.31306e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00713626 +/- 2.063e-05 (0.289%) - - -******************************************************************************* -Sat Jul 28 14:39:23 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 248 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.1038478469e-09 -4.48e-07 2.06e-07 6.510658e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.10385e-09 -rel. change during last iteration : -4.48442e-12 - -degrees of freedom (FIT_NDF) : 247 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.54488e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.25662e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00651066 +/- 9.192e-06 (0.1412%) - - -******************************************************************************* -Sat Jul 28 14:39:24 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 256 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.0736844160e-09 -3.52e-07 2.07e-07 6.663281e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.07368e-09 -rel. change during last iteration : -3.51736e-12 - -degrees of freedom (FIT_NDF) : 255 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.47184e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.20537e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00666328 +/- 8.814e-06 (0.1323%) - - -******************************************************************************* -Sat Jul 28 14:39:24 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 282 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 8.9026622682e-09 -4.44e-08 2.09e-07 7.197519e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 8.90266e-09 -rel. change during last iteration : -4.43942e-13 - -degrees of freedom (FIT_NDF) : 281 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.62868e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.16821e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00719752 +/- 1.348e-05 (0.1873%) - - -******************************************************************************* -Sat Jul 28 14:39:25 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 295 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.0522962493e-08 -1.69e-08 2.08e-07 7.534624e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.0523e-08 -rel. change during last iteration : -1.69163e-13 - -degrees of freedom (FIT_NDF) : 294 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.98267e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.57924e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00753462 +/- 1.407e-05 (0.1868%) - - -******************************************************************************* -Sat Jul 28 14:39:26 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 314 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.6308268675e-08 -2.67e-09 2.11e-07 7.812437e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.63083e-08 -rel. change during last iteration : -2.66627e-14 - -degrees of freedom (FIT_NDF) : 313 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.16799e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 8.4052e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00781244 +/- 2.058e-05 (0.2634%) - - -******************************************************************************* -Sat Jul 28 14:39:26 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 331 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 2.4970180319e-08 -8.39e-02 2.09e-06 8.293809e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 2.49702e-08 -rel. change during last iteration : -8.38752e-07 - -degrees of freedom (FIT_NDF) : 330 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.69869e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.56672e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00829381 +/- 1.923e-05 (0.2318%) - - -******************************************************************************* -Sat Jul 28 14:39:27 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 312 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.6393213096e-08 -2.57e-09 2.11e-07 7.824421e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.63932e-08 -rel. change during last iteration : -2.56993e-14 - -degrees of freedom (FIT_NDF) : 311 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.21225e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 8.48656e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00782442 +/- 2.08e-05 (0.2659%) - - -******************************************************************************* -Sat Jul 28 14:39:27 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 322 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 2.8722100619e-08 -4.16e-01 2.08e-06 8.148833e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 2.87221e-08 -rel. change during last iteration : -4.1622e-06 - -degrees of freedom (FIT_NDF) : 321 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.45923e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 8.94769e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00814883 +/- 2.127e-05 (0.2611%) - - -******************************************************************************* -Sat Jul 28 14:39:28 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 329 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 2.5087275670e-08 -4.87e-02 2.09e-06 8.319138e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 2.50873e-08 -rel. change during last iteration : -4.86956e-07 - -degrees of freedom (FIT_NDF) : 328 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.7456e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.64856e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00831914 +/- 1.939e-05 (0.2331%) - - -******************************************************************************* -Sat Jul 28 14:39:29 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 327 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 1.8807040752e-08 -1.36e-02 2.08e-06 8.362858e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 1.8807e-08 -rel. change during last iteration : -1.3615e-07 - -degrees of freedom (FIT_NDF) : 326 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.59541e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 5.76903e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00836286 +/- 1.7e-05 (0.2032%) - - -******************************************************************************* -Sat Jul 28 14:39:29 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 336 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 2.7210796402e-08 -1.53e-01 2.08e-06 8.551538e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 2.72108e-08 -rel. change during last iteration : -1.5316e-06 - -degrees of freedom (FIT_NDF) : 335 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.01256e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 8.12263e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00855154 +/- 1.985e-05 (0.2321%) - - -******************************************************************************* -Sat Jul 28 14:39:30 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 337 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 2.0336422697e-08 -4.91e-01 2.07e-06 8.635542e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 2.03364e-08 -rel. change during last iteration : -4.9105e-06 - -degrees of freedom (FIT_NDF) : 336 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.77979e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 6.05251e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00863554 +/- 1.716e-05 (0.1987%) - - -******************************************************************************* -Sat Jul 28 14:39:30 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 356 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.1349424087e-08 -3.94e-09 2.05e-07 9.198020e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.13494e-08 -rel. change during last iteration : -3.93648e-14 - -degrees of freedom (FIT_NDF) : 355 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.75495e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 6.01392e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00919802 +/- 1.686e-05 (0.1833%) - - -******************************************************************************* -Sat Jul 28 14:39:31 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 365 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.1830217828e-08 -5.65e-09 2.05e-07 9.404000e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.18302e-08 -rel. change during last iteration : -5.65342e-14 - -degrees of freedom (FIT_NDF) : 364 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.74423e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 5.99731e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.009404 +/- 1.661e-05 (0.1766%) - - -******************************************************************************* -Sat Jul 28 14:39:32 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 371 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.0226399458e-08 -2.16e-08 1.99e-07 9.817339e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.02264e-08 -rel. change during last iteration : -2.15806e-13 - -degrees of freedom (FIT_NDF) : 370 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.25727e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.76389e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00981734 +/- 1.15e-05 (0.1171%) - - -******************************************************************************* -Sat Jul 28 14:39:32 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 387 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.1303518728e-08 -2.94e-08 1.98e-07 1.026499e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.13035e-08 -rel. change during last iteration : -2.9418e-13 - -degrees of freedom (FIT_NDF) : 386 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.41144e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.92837e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.010265 +/- 1.166e-05 (0.1136%) - - -******************************************************************************* -Sat Jul 28 14:39:33 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 303 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 9.1536460149e-09 -7.82e-01 1.90e-06 8.606526e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 9.15365e-09 -rel. change during last iteration : -7.81615e-06 - -degrees of freedom (FIT_NDF) : 302 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.50546e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.03101e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00860653 +/- 1.398e-05 (0.1625%) - - -******************************************************************************* -Sat Jul 28 14:39:33 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 325 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 9.5156938722e-09 -7.77e-09 1.91e-07 9.098829e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 9.51569e-09 -rel. change during last iteration : -7.77137e-14 - -degrees of freedom (FIT_NDF) : 324 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.41936e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.93694e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00909883 +/- 1.319e-05 (0.145%) - - -******************************************************************************* -Sat Jul 28 14:39:34 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 337 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.0894667558e-08 -1.12e-08 1.93e-07 9.343369e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.08947e-08 -rel. change during last iteration : -1.1161e-13 - -degrees of freedom (FIT_NDF) : 336 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.69426e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.24246e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00934337 +/- 1.353e-05 (0.1448%) - - -******************************************************************************* -Sat Jul 28 14:39:35 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 356 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.1333956813e-08 -2.18e-08 1.93e-07 9.859696e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.1334e-08 -rel. change during last iteration : -2.18218e-13 - -degrees of freedom (FIT_NDF) : 355 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.65037e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.19266e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0098597 +/- 1.306e-05 (0.1324%) - - -******************************************************************************* -Sat Jul 28 14:39:35 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 334 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.3533896993e-09 -1.75e-08 1.92e-07 9.360420e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.35339e-09 -rel. change during last iteration : -1.75146e-13 - -degrees of freedom (FIT_NDF) : 333 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.69918e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.20823e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00936042 +/- 1.123e-05 (0.12%) - - -******************************************************************************* -Sat Jul 28 14:39:36 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 336 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 9.3781670699e-09 -1.54e-08 1.91e-07 9.431373e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 9.37817e-09 -rel. change during last iteration : -1.54002e-13 - -degrees of freedom (FIT_NDF) : 335 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.29099e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.79945e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00943137 +/- 1.269e-05 (0.1345%) - - -******************************************************************************* -Sat Jul 28 14:39:36 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 351 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.4027860418e-09 -2.74e-08 1.94e-07 9.687165e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.40279e-09 -rel. change during last iteration : -2.73761e-13 - -degrees of freedom (FIT_NDF) : 350 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.599e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.11508e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00968716 +/- 1.065e-05 (0.1099%) - - -******************************************************************************* -Sat Jul 28 14:39:37 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 361 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.9067633378e-09 -3.06e-08 1.95e-07 9.855724e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.90676e-09 -rel. change during last iteration : -3.059e-13 - -degrees of freedom (FIT_NDF) : 360 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.68649e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.19632e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00985572 +/- 1.061e-05 (0.1077%) - - -******************************************************************************* -Sat Jul 28 14:39:38 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 163 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.6672994634e-09 -5.80e-06 1.88e-07 4.726485e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.6673e-09 -rel. change during last iteration : -5.7967e-11 - -degrees of freedom (FIT_NDF) : 162 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.05769e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.64648e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00472648 +/- 1.418e-05 (0.3%) - - -******************************************************************************* -Sat Jul 28 14:39:38 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 194 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.8438406714e-09 -3.85e-06 1.96e-07 5.301459e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.84384e-09 -rel. change during last iteration : -3.85151e-11 - -degrees of freedom (FIT_NDF) : 193 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.09089e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 9.55358e-12 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00530146 +/- 9.5e-06 (0.1792%) - - -******************************************************************************* -Sat Jul 28 14:39:39 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 132 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 8.8210469183e-09 -4.61e-06 1.86e-07 4.002191e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 8.82105e-09 -rel. change during last iteration : -4.61034e-11 - -degrees of freedom (FIT_NDF) : 131 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.20587e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 6.73362e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00400219 +/- 3.223e-05 (0.8053%) - - -******************************************************************************* -Sat Jul 28 14:39:39 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 167 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.4262599910e-09 -4.35e-06 1.94e-07 4.766570e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.42626e-09 -rel. change during last iteration : -4.35474e-11 - -degrees of freedom (FIT_NDF) : 166 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.54314e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.06401e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00476657 +/- 1.523e-05 (0.3195%) - - -******************************************************************************* -Sat Jul 28 14:39:40 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 198 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.6999040308e-09 -2.39e-06 1.99e-07 5.398801e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.6999e-09 -rel. change during last iteration : -2.38834e-11 - -degrees of freedom (FIT_NDF) : 197 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.70204e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.37051e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0053988 +/- 1.11e-05 (0.2057%) - - -******************************************************************************* -Sat Jul 28 14:39:41 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 223 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 5.3349628479e-09 -5.41e-07 1.99e-07 6.003214e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 5.33496e-09 -rel. change during last iteration : -5.4064e-12 - -degrees of freedom (FIT_NDF) : 222 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.90218e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.40314e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00600321 +/- 1.385e-05 (0.2307%) - - -******************************************************************************* -Sat Jul 28 14:39:41 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 239 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.7319139792e-09 -1.96e-07 1.97e-07 6.453975e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.73191e-09 -rel. change during last iteration : -1.96035e-12 - -degrees of freedom (FIT_NDF) : 238 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.69974e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.2487e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00645397 +/- 1.571e-05 (0.2434%) - - -******************************************************************************* -Sat Jul 28 14:39:42 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 178 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.0630643291e-09 -4.22e-06 2.02e-07 4.834542e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.06306e-09 -rel. change during last iteration : -4.2161e-11 - -degrees of freedom (FIT_NDF) : 177 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.15998e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.73054e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00483454 +/- 1.295e-05 (0.2679%) - - -******************************************************************************* -Sat Jul 28 14:39:42 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 175 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.9579990067e-09 -7.78e-06 2.07e-07 4.719073e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.958e-09 -rel. change during last iteration : -7.7754e-11 - -degrees of freedom (FIT_NDF) : 174 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.35453e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.12529e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00471907 +/- 1.027e-05 (0.2177%) - - -******************************************************************************* -Sat Jul 28 14:39:43 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 205 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 6.7921549530e-09 -1.03e-06 2.12e-07 5.307856e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 6.79215e-09 -rel. change during last iteration : -1.02623e-11 - -degrees of freedom (FIT_NDF) : 204 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.77017e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.32949e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00530786 +/- 1.6e-05 (0.3015%) - - -******************************************************************************* -Sat Jul 28 14:39:44 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 209 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.6421998017e-09 -7.71e-07 2.11e-07 5.460623e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.6422e-09 -rel. change during last iteration : -7.70529e-12 - -degrees of freedom (FIT_NDF) : 208 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.06146e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.67413e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00546062 +/- 1.673e-05 (0.3063%) - - -******************************************************************************* -Sat Jul 28 14:39:44 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 209 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 6.3272795888e-09 -8.47e-07 2.07e-07 5.549709e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 6.32728e-09 -rel. change during last iteration : -8.47486e-12 - -degrees of freedom (FIT_NDF) : 208 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.5154e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.04196e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00554971 +/- 1.547e-05 (0.2787%) - - -******************************************************************************* -Sat Jul 28 14:39:45 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 237 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 8.8965195076e-09 -2.50e-07 2.08e-07 6.188248e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 8.89652e-09 -rel. change during last iteration : -2.50371e-12 - -degrees of freedom (FIT_NDF) : 236 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.1398e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.76971e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00618825 +/- 1.613e-05 (0.2607%) - - -******************************************************************************* -Sat Jul 28 14:39:46 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 227 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.1471141514e-08 -1.78e-07 2.13e-07 5.754177e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.14711e-08 -rel. change during last iteration : -1.78233e-12 - -degrees of freedom (FIT_NDF) : 226 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.74705e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 9.50051e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00575418 +/- 2.547e-05 (0.4426%) - - -******************************************************************************* -Sat Jul 28 14:39:47 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 246 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.2604535763e-08 -9.65e-08 2.14e-07 6.157341e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.26045e-08 -rel. change during last iteration : -9.65485e-13 - -degrees of freedom (FIT_NDF) : 245 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.60538e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 9.22634e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00615734 +/- 2.4e-05 (0.3897%) - - -******************************************************************************* -Sat Jul 28 14:39:47 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 244 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.1049039742e-08 -1.07e-07 2.14e-07 6.150452e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.1049e-08 -rel. change during last iteration : -1.06811e-12 - -degrees of freedom (FIT_NDF) : 243 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.30707e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 8.66216e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00615045 +/- 2.336e-05 (0.3798%) - - -******************************************************************************* -Sat Jul 28 14:39:48 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 257 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.7150192923e-08 -5.21e-08 2.14e-07 6.471997e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.71502e-08 -rel. change during last iteration : -5.2147e-13 - -degrees of freedom (FIT_NDF) : 256 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02983e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.06055e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.006472 +/- 2.516e-05 (0.3888%) - - -******************************************************************************* -Sat Jul 28 14:39:48 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 263 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.4392589981e-08 -4.24e-08 2.13e-07 6.684510e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.43926e-08 -rel. change during last iteration : -4.24025e-13 - -degrees of freedom (FIT_NDF) : 262 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.64891e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 9.31015e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00668451 +/- 2.345e-05 (0.3507%) - - -******************************************************************************* -Sat Jul 28 14:39:49 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 277 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.7409290699e-08 -2.77e-08 2.10e-07 7.114299e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.74093e-08 -rel. change during last iteration : -2.7691e-13 - -degrees of freedom (FIT_NDF) : 276 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.94211e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 6.30771e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0071143 +/- 1.909e-05 (0.2684%) - - -******************************************************************************* -Sat Jul 28 14:39:50 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 296 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.1171265079e-08 -7.16e-09 2.08e-07 7.596682e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.11713e-08 -rel. change during last iteration : -7.15779e-14 - -degrees of freedom (FIT_NDF) : 295 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.47154e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.1767e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00759668 +/- 1.991e-05 (0.2621%) - - -******************************************************************************* -Sat Jul 28 14:39:50 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 201 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 4.1354017038e-09 -1.08e-06 1.94e-07 5.778088e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 4.1354e-09 -rel. change during last iteration : -1.07723e-11 - -degrees of freedom (FIT_NDF) : 200 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.5472e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.0677e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00577809 +/- 1.391e-05 (0.2408%) - - -******************************************************************************* -Sat Jul 28 14:39:51 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 139 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 5.5028091692e-09 -5.72e-06 1.91e-07 4.326424e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 5.50281e-09 -rel. change during last iteration : -5.71773e-11 - -degrees of freedom (FIT_NDF) : 138 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.3147e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.98754e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00432642 +/- 2.356e-05 (0.5447%) - - -******************************************************************************* -Sat Jul 28 14:39:52 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 162 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 4.2001807356e-09 -3.98e-06 1.96e-07 4.773630e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 4.20018e-09 -rel. change during last iteration : -3.97802e-11 - -degrees of freedom (FIT_NDF) : 161 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.10765e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.60881e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00477363 +/- 1.716e-05 (0.3595%) - - -******************************************************************************* -Sat Jul 28 14:39:52 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 187 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.9865664773e-09 -2.11e-06 2.01e-07 5.277996e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.98657e-09 -rel. change during last iteration : -2.10967e-11 - -degrees of freedom (FIT_NDF) : 186 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.6296e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.14332e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.005278 +/- 1.418e-05 (0.2686%) - - -******************************************************************************* -Sat Jul 28 14:39:53 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 214 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 4.9038482039e-09 -7.63e-07 2.03e-07 5.886281e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 4.90385e-09 -rel. change during last iteration : -7.63277e-12 - -degrees of freedom (FIT_NDF) : 213 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.7982e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.30228e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00588628 +/- 1.355e-05 (0.2302%) - - -******************************************************************************* -Sat Jul 28 14:39:53 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 239 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.8788196390e-09 -2.28e-07 2.08e-07 6.386175e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.87882e-09 -rel. change during last iteration : -2.28181e-12 - -degrees of freedom (FIT_NDF) : 238 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.75363e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.31043e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00638618 +/- 1.506e-05 (0.2359%) - - -******************************************************************************* -Sat Jul 28 14:39:54 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 119 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 9.5104885508e-09 -7.38e-06 1.97e-07 3.727735e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 9.51049e-09 -rel. change during last iteration : -7.38362e-11 - -degrees of freedom (FIT_NDF) : 118 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.9776e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 8.05974e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00372773 +/- 3.505e-05 (0.9402%) - - -******************************************************************************* -Sat Jul 28 14:39:54 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 131 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.1188526189e-08 -4.39e-06 2.02e-07 3.998975e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.11885e-08 -rel. change during last iteration : -4.39364e-11 - -degrees of freedom (FIT_NDF) : 130 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.27715e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 8.60656e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00399897 +/- 3.367e-05 (0.8421%) - - -******************************************************************************* -Sat Jul 28 14:39:55 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 153 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.0759073569e-08 -2.37e-06 2.05e-07 4.460280e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.07591e-08 -rel. change during last iteration : -2.37395e-11 - -degrees of freedom (FIT_NDF) : 152 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.41329e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.07834e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00446028 +/- 2.783e-05 (0.624%) - - -******************************************************************************* -Sat Jul 28 14:39:56 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 163 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.1560086864e-08 -1.70e-06 2.09e-07 4.657888e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.15601e-08 -rel. change during last iteration : -1.70369e-11 - -degrees of freedom (FIT_NDF) : 162 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.4474e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.13586e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00465789 +/- 2.664e-05 (0.572%) - - -******************************************************************************* -Sat Jul 28 14:39:56 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 180 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 9.8283646350e-09 -1.30e-06 2.12e-07 4.968242e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 9.82836e-09 -rel. change during last iteration : -1.29688e-11 - -degrees of freedom (FIT_NDF) : 179 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.40993e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 5.49071e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00496824 +/- 2.186e-05 (0.44%) - - -******************************************************************************* -Sat Jul 28 14:39:57 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 74 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.3595460500e-09 -3.67e-04 2.02e-07 2.393635e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.35955e-09 -rel. change during last iteration : -3.6709e-09 - -degrees of freedom (FIT_NDF) : 73 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.31554e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.86239e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00239364 +/- 2.09e-05 (0.8733%) - - -******************************************************************************* -Sat Jul 28 14:39:57 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 107 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.5302880873e-10 -1.66e-04 2.01e-07 3.188192e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.53029e-10 -rel. change during last iteration : -1.66224e-09 - -degrees of freedom (FIT_NDF) : 106 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.66534e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.10405e-12 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00318819 +/- 1.074e-05 (0.337%) - - -******************************************************************************* -Sat Jul 28 14:39:58 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 136 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.2395559785e-09 -3.36e-05 1.96e-07 3.984935e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.23956e-09 -rel. change during last iteration : -3.36403e-10 - -degrees of freedom (FIT_NDF) : 135 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03016e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 9.1819e-12 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00398493 +/- 1.112e-05 (0.279%) - - -******************************************************************************* -Sat Jul 28 14:39:59 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 161 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.8181038791e-09 -5.65e-06 2.02e-07 4.430051e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.8181e-09 -rel. change during last iteration : -5.65039e-11 - -degrees of freedom (FIT_NDF) : 160 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.88499e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.38631e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00443005 +/- 1.601e-05 (0.3613%) - - -******************************************************************************* -Sat Jul 28 14:39:59 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 193 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.0136403166e-08 -8.23e-07 2.03e-07 5.174853e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.01364e-08 -rel. change during last iteration : -8.22676e-12 - -degrees of freedom (FIT_NDF) : 192 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.26593e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 5.27938e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00517485 +/- 2.167e-05 (0.4188%) - - -******************************************************************************* -Sat Jul 28 14:40:00 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 210 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.3642329721e-08 -3.80e-07 2.05e-07 5.550351e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.36423e-08 -rel. change during last iteration : -3.79638e-12 - -degrees of freedom (FIT_NDF) : 209 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.07925e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 6.52743e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00555035 +/- 2.283e-05 (0.4113%) - - -******************************************************************************* -Sat Jul 28 14:40:01 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 233 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.5613089397e-08 -1.64e-07 2.06e-07 6.066983e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.56131e-08 -rel. change during last iteration : -1.64365e-12 - -degrees of freedom (FIT_NDF) : 232 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.20352e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 6.72978e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00606698 +/- 2.191e-05 (0.3611%) - - -******************************************************************************* -Sat Jul 28 14:40:01 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 252 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.5586508406e-08 -7.98e-08 2.05e-07 6.561314e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.55865e-08 -rel. change during last iteration : -7.9754e-13 - -degrees of freedom (FIT_NDF) : 251 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.88021e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 6.20976e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00656131 +/- 2.038e-05 (0.3106%) - - -******************************************************************************* -Sat Jul 28 14:40:02 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 260 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 9.5435174172e-09 -6.36e-08 1.98e-07 7.010462e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 9.54352e-09 -rel. change during last iteration : -6.35845e-13 - -degrees of freedom (FIT_NDF) : 259 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.07022e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.68476e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00701046 +/- 1.596e-05 (0.2276%) - - -******************************************************************************* -Sat Jul 28 14:40:02 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 279 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.3655792417e-09 -2.82e-08 1.98e-07 7.493950e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.36558e-09 -rel. change during last iteration : -2.82219e-13 - -degrees of freedom (FIT_NDF) : 278 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.14732e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.64949e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00749395 +/- 1.309e-05 (0.1747%) - - -******************************************************************************* -Sat Jul 28 14:40:03 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 294 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 4.8170813032e-09 -1.94e-08 2.01e-07 7.755632e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 4.81708e-09 -rel. change during last iteration : -1.93526e-13 - -degrees of freedom (FIT_NDF) : 293 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.05469e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.64406e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00775563 +/- 9.863e-06 (0.1272%) - - -******************************************************************************* -Sat Jul 28 14:40:04 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 274 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.5040484956e-09 -3.16e-08 1.98e-07 7.460874e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.50405e-09 -rel. change during last iteration : -3.16143e-13 - -degrees of freedom (FIT_NDF) : 273 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.24284e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.74874e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00746087 +/- 1.341e-05 (0.1798%) - - -******************************************************************************* -Sat Jul 28 14:40:04 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 281 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.1988434965e-08 -1.31e-08 2.01e-07 7.614780e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.19884e-08 -rel. change during last iteration : -1.31235e-13 - -degrees of freedom (FIT_NDF) : 280 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.54338e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.28158e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00761478 +/- 1.634e-05 (0.2145%) - - -******************************************************************************* -Sat Jul 28 14:40:05 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 316 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 5.2549414196e-09 -1.22e-03 2.02e-06 8.394077e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 5.25494e-09 -rel. change during last iteration : -1.21819e-08 - -degrees of freedom (FIT_NDF) : 315 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.0844e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.66824e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00839408 +/- 9.538e-06 (0.1136%) - - -******************************************************************************* -Sat Jul 28 14:40:06 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 335 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 6.0640804889e-09 -4.80e-09 2.03e-07 8.836250e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 6.06408e-09 -rel. change during last iteration : -4.80151e-14 - -degrees of freedom (FIT_NDF) : 334 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.26098e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.81559e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00883625 +/- 9.651e-06 (0.1092%) - - -******************************************************************************* -Sat Jul 28 14:40:06 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 349 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.1837706288e-09 -2.73e-08 2.02e-07 9.201584e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.18377e-09 -rel. change during last iteration : -2.72542e-13 - -degrees of freedom (FIT_NDF) : 348 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.02469e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 9.14877e-12 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00920158 +/- 6.734e-06 (0.07318%) - - -******************************************************************************* -Sat Jul 28 14:40:07 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 364 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.1532543521e-09 -4.53e-08 2.04e-07 9.485138e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.15325e-09 -rel. change during last iteration : -4.52512e-13 - -degrees of freedom (FIT_NDF) : 363 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94731e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 8.68665e-12 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00948514 +/- 6.374e-06 (0.0672%) - - -******************************************************************************* -Sat Jul 28 14:40:08 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 364 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 6.9304406062e-09 -1.95e-08 2.04e-07 9.452255e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 6.93044e-09 -rel. change during last iteration : -1.94906e-13 - -degrees of freedom (FIT_NDF) : 363 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.36945e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.90921e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00945226 +/- 9.417e-06 (0.09963%) - - -******************************************************************************* -Sat Jul 28 14:40:08 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 376 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 9.3840365948e-09 -2.13e-08 2.04e-07 9.746751e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 9.38404e-09 -rel. change during last iteration : -2.13141e-13 - -degrees of freedom (FIT_NDF) : 375 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.00241e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.50241e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00974675 +/- 1.062e-05 (0.109%) - - -******************************************************************************* -Sat Jul 28 14:40:09 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 354 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.6738087881e-08 -7.95e-09 2.01e-07 9.418160e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.67381e-08 -rel. change during last iteration : -7.94659e-14 - -degrees of freedom (FIT_NDF) : 353 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.88598e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.74167e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00941816 +/- 1.526e-05 (0.1621%) - - -******************************************************************************* -Sat Jul 28 14:40:09 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 361 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.7657288836e-08 -1.23e-08 1.98e-07 9.764066e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.76573e-08 -rel. change during last iteration : -1.23487e-13 - -degrees of freedom (FIT_NDF) : 360 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.00343e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.9048e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00976407 +/- 1.566e-05 (0.1604%) - - -******************************************************************************* -Sat Jul 28 14:40:10 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 355 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.0965252287e-08 -1.00e-08 1.96e-07 9.719136e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.09653e-08 -rel. change during last iteration : -1.00215e-13 - -degrees of freedom (FIT_NDF) : 354 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.69571e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 5.92239e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00971914 +/- 1.754e-05 (0.1804%) - - -******************************************************************************* -Sat Jul 28 14:40:11 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 368 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.0265439419e-08 -1.31e-08 1.98e-07 9.948101e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.02654e-08 -rel. change during last iteration : -1.31432e-13 - -degrees of freedom (FIT_NDF) : 367 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.43096e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 5.52192e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0099481 +/- 1.641e-05 (0.165%) - - -******************************************************************************* -Sat Jul 28 14:40:11 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 370 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.8322925953e-08 -1.34e-08 2.01e-07 9.873793e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.83229e-08 -rel. change during last iteration : -1.33989e-13 - -degrees of freedom (FIT_NDF) : 369 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.04667e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.96556e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00987379 +/- 1.527e-05 (0.1547%) - - -******************************************************************************* -Sat Jul 28 14:40:12 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 361 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.5818532921e-08 -8.18e-09 2.01e-07 9.719802e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.58185e-08 -rel. change during last iteration : -8.17616e-14 - -degrees of freedom (FIT_NDF) : 360 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.46866e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.17181e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0097198 +/- 1.863e-05 (0.1917%) - - -******************************************************************************* -Sat Jul 28 14:40:13 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 380 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.0180268853e-08 -1.52e-08 2.02e-07 1.010810e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.01803e-08 -rel. change during last iteration : -1.51989e-13 - -degrees of freedom (FIT_NDF) : 379 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.29699e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 5.32461e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0101081 +/- 1.554e-05 (0.1537%) - - -******************************************************************************* -Sat Jul 28 14:40:13 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 31 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.6035865116e-10 -4.69e-02 2.18e-07 8.022094e-04 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.60359e-10 -rel. change during last iteration : -4.69216e-07 - -degrees of freedom (FIT_NDF) : 30 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94595e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 8.67862e-12 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.000802209 +/- 2.041e-05 (2.544%) - - -******************************************************************************* -Sat Jul 28 14:40:14 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 69 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.4693784104e-09 -3.46e-04 2.13e-07 1.678722e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.46938e-09 -rel. change during last iteration : -3.46446e-09 - -degrees of freedom (FIT_NDF) : 68 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.02614e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.63144e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00167872 +/- 2.867e-05 (1.708%) - - -******************************************************************************* -Sat Jul 28 14:40:15 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 99 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 8.6194661604e-09 -3.07e-05 2.21e-07 2.257902e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 8.61947e-09 -rel. change during last iteration : -3.06797e-10 - -degrees of freedom (FIT_NDF) : 98 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.37837e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 8.79537e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0022579 +/- 3.578e-05 (1.585%) - - -******************************************************************************* -Sat Jul 28 14:40:15 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 126 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.7958516382e-08 -5.93e-06 2.22e-07 2.833231e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.79585e-08 -rel. change during last iteration : -5.92539e-11 - -degrees of freedom (FIT_NDF) : 125 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.19862e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.43668e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00283323 +/- 4.042e-05 (1.427%) - - -******************************************************************************* -Sat Jul 28 14:40:16 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 164 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.6332090931e-08 -1.03e-06 2.26e-07 3.591324e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.63321e-08 -rel. change during last iteration : -1.03101e-11 - -degrees of freedom (FIT_NDF) : 163 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.49297e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.22896e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00359132 +/- 4.335e-05 (1.207%) - - -******************************************************************************* -Sat Jul 28 14:40:16 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 202 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 6.1022561519e-08 -2.15e-07 2.23e-07 4.462635e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 6.10226e-08 -rel. change during last iteration : -2.14803e-12 - -degrees of freedom (FIT_NDF) : 201 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.7424e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.03595e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00446264 +/- 4.621e-05 (1.035%) - - -******************************************************************************* -Sat Jul 28 14:40:17 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 218 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 6.1273391105e-08 -1.36e-07 2.21e-07 4.857372e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 6.12734e-08 -rel. change during last iteration : -1.35625e-12 - -degrees of freedom (FIT_NDF) : 217 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.68037e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.82366e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00485737 +/- 4.325e-05 (0.8905%) - - -******************************************************************************* -Sat Jul 28 14:40:18 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 248 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.0001864089e-07 -4.04e-08 2.24e-07 5.439505e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.00019e-07 -rel. change during last iteration : -4.04118e-13 - -degrees of freedom (FIT_NDF) : 247 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.0123e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.04934e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0054395 +/- 4.799e-05 (0.8822%) - - -******************************************************************************* -Sat Jul 28 14:40:18 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 207 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.9926628617e-08 -3.32e-07 2.16e-07 4.735938e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.99266e-08 -rel. change during last iteration : -3.3217e-12 - -degrees of freedom (FIT_NDF) : 206 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.2053e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.45275e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00473594 +/- 3.253e-05 (0.6869%) - - -******************************************************************************* -Sat Jul 28 14:40:19 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 236 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 5.6308703011e-08 -8.53e-08 2.19e-07 5.340891e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 5.63087e-08 -rel. change during last iteration : -8.53084e-13 - -degrees of freedom (FIT_NDF) : 235 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.54794e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.39612e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00534089 +/- 3.863e-05 (0.7233%) - - -******************************************************************************* -Sat Jul 28 14:40:19 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 249 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 6.4441015590e-08 -5.32e-08 2.20e-07 5.608629e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 6.4441e-08 -rel. change during last iteration : -5.32139e-13 - -degrees of freedom (FIT_NDF) : 248 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.61196e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.59843e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00560863 +/- 3.903e-05 (0.6959%) - - -******************************************************************************* -Sat Jul 28 14:40:20 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 221 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.6802897043e-08 -2.15e-07 2.13e-07 5.274056e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.68029e-08 -rel. change during last iteration : -2.15056e-12 - -degrees of freedom (FIT_NDF) : 220 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.10377e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.21831e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00527406 +/- 2.929e-05 (0.5554%) - - -******************************************************************************* -Sat Jul 28 14:40:21 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 240 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 3.2858113878e-08 -9.78e-08 2.12e-07 5.742744e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 3.28581e-08 -rel. change during last iteration : -9.77771e-13 - -degrees of freedom (FIT_NDF) : 239 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.17253e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.37482e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00574274 +/- 3.005e-05 (0.5233%) - - -******************************************************************************* -Sat Jul 28 14:40:21 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 237 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.3244704806e-08 -1.43e-07 2.12e-07 5.750471e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.32447e-08 -rel. change during last iteration : -1.42614e-12 - -degrees of freedom (FIT_NDF) : 236 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.92444e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 9.84945e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00575047 +/- 2.56e-05 (0.4452%) - - -******************************************************************************* -Sat Jul 28 14:40:22 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 234 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.2129279182e-08 -1.67e-07 2.14e-07 5.685121e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.21293e-08 -rel. change during last iteration : -1.6731e-12 - -degrees of freedom (FIT_NDF) : 233 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.74553e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 9.49754e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00568512 +/- 2.501e-05 (0.4398%) - - -******************************************************************************* -Sat Jul 28 14:40:22 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 238 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.5375065782e-08 -1.96e-07 2.12e-07 5.863499e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.53751e-08 -rel. change during last iteration : -1.96457e-12 - -degrees of freedom (FIT_NDF) : 237 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.05442e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 6.48737e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0058635 +/- 2.066e-05 (0.3524%) - - -******************************************************************************* -Sat Jul 28 14:40:23 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 247 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.4764187307e-08 -1.55e-07 2.12e-07 6.065934e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.47642e-08 -rel. change during last iteration : -1.55237e-12 - -degrees of freedom (FIT_NDF) : 246 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.74707e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 6.0017e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00606593 +/- 1.95e-05 (0.3214%) - - -******************************************************************************* -Sat Jul 28 14:40:24 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 248 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 9.6100573434e-09 -2.13e-07 2.11e-07 6.167233e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 9.61006e-09 -rel. change during last iteration : -2.12793e-12 - -degrees of freedom (FIT_NDF) : 247 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.23756e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.89071e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00616723 +/- 1.577e-05 (0.2557%) - - -******************************************************************************* -Sat Jul 28 14:40:24 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 252 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.8237188962e-09 -2.10e-07 2.10e-07 6.336486e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.82372e-09 -rel. change during last iteration : -2.10059e-12 - -degrees of freedom (FIT_NDF) : 251 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.58303e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.11702e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00633649 +/- 1.409e-05 (0.2224%) - - -******************************************************************************* -Sat Jul 28 14:40:25 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 274 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.5402636756e-08 -4.68e-08 2.09e-07 6.848876e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.54026e-08 -rel. change during last iteration : -4.68297e-13 - -degrees of freedom (FIT_NDF) : 273 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.51132e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 5.64199e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00684888 +/- 1.82e-05 (0.2658%) - - -******************************************************************************* -Sat Jul 28 14:40:25 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 299 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.9257502211e-08 -9.70e-09 2.13e-07 7.309411e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.92575e-08 -rel. change during last iteration : -9.7031e-14 - -degrees of freedom (FIT_NDF) : 298 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.90856e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 9.81795e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00730941 +/- 2.263e-05 (0.3096%) - - -******************************************************************************* -Sat Jul 28 14:40:26 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 269 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.3195898494e-08 -6.14e-08 2.10e-07 6.801258e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.31959e-08 -rel. change during last iteration : -6.14435e-13 - -degrees of freedom (FIT_NDF) : 268 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.01701e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.92384e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00680126 +/- 1.715e-05 (0.2522%) - - -******************************************************************************* -Sat Jul 28 14:40:27 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 297 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.9941623852e-08 -8.51e-09 2.07e-07 7.540922e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.99416e-08 -rel. change during last iteration : -8.51172e-14 - -degrees of freedom (FIT_NDF) : 296 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.20794e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 6.73704e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00754092 +/- 1.933e-05 (0.2564%) - - -******************************************************************************* -Sat Jul 28 14:40:27 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 303 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.8855172083e-08 -4.04e-09 2.07e-07 7.669880e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.88552e-08 -rel. change during last iteration : -4.03626e-14 - -degrees of freedom (FIT_NDF) : 302 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.77481e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 9.55469e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00766988 +/- 2.277e-05 (0.2969%) - - -******************************************************************************* -Sat Jul 28 14:40:28 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 319 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 3.9939309119e-08 -4.21e-01 2.06e-06 8.099815e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 3.99393e-08 -rel. change during last iteration : -4.21358e-06 - -degrees of freedom (FIT_NDF) : 318 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.12069e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.25595e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00809981 +/- 2.563e-05 (0.3164%) - - -******************************************************************************* -Sat Jul 28 14:40:28 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 299 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.6318687411e-08 -6.97e-09 2.04e-07 7.680450e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.63187e-08 -rel. change during last iteration : -6.97483e-14 - -degrees of freedom (FIT_NDF) : 298 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.40005e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 5.47607e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00768045 +/- 1.758e-05 (0.2289%) - - -******************************************************************************* -Sat Jul 28 14:40:29 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 310 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.0697251681e-08 -2.69e-09 2.03e-07 8.013502e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.06973e-08 -rel. change during last iteration : -2.69096e-14 - -degrees of freedom (FIT_NDF) : 309 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.88379e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.46189e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0080135 +/- 1.385e-05 (0.1728%) - - -******************************************************************************* -Sat Jul 28 14:40:30 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 328 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 1.2840683642e-08 -6.75e-02 2.02e-06 8.470326e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 1.28407e-08 -rel. change during last iteration : -6.75207e-07 - -degrees of freedom (FIT_NDF) : 327 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.26643e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.92681e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00847033 +/- 1.439e-05 (0.1698%) - - -******************************************************************************* -Sat Jul 28 14:40:30 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 332 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 5.9542927755e-09 -3.31e-09 1.98e-07 8.762487e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 5.95429e-09 -rel. change during last iteration : -3.30634e-14 - -degrees of freedom (FIT_NDF) : 331 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.24132e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.79888e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00876249 +/- 9.897e-06 (0.1129%) - - -******************************************************************************* -Sat Jul 28 14:40:31 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 342 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 6.8999667661e-09 -8.74e-09 1.97e-07 9.065512e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 6.89997e-09 -rel. change during last iteration : -8.73939e-14 - -degrees of freedom (FIT_NDF) : 341 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.49828e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.02345e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00906551 +/- 1.037e-05 (0.1143%) - - -******************************************************************************* -Sat Jul 28 14:40:31 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 357 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.3632828204e-09 -1.63e-08 1.98e-07 9.394650e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.36328e-09 -rel. change during last iteration : -1.63116e-13 - -degrees of freedom (FIT_NDF) : 356 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.5479e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.06834e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00939465 +/- 1.021e-05 (0.1087%) - - -******************************************************************************* -Sat Jul 28 14:40:32 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 370 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 8.2361837248e-09 -2.15e-08 1.99e-07 9.669464e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 8.23618e-09 -rel. change during last iteration : -2.14926e-13 - -degrees of freedom (FIT_NDF) : 369 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.72443e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.23203e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00966946 +/- 1.038e-05 (0.1073%) - - -******************************************************************************* -Sat Jul 28 14:40:33 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 387 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.1101146243e-08 -2.27e-08 2.00e-07 1.000455e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.11011e-08 -rel. change during last iteration : -2.2652e-13 - -degrees of freedom (FIT_NDF) : 386 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.36278e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.87594e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0100046 +/- 1.143e-05 (0.1142%) - - -******************************************************************************* -Sat Jul 28 14:40:33 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 400 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.7093416696e-08 -2.05e-08 1.99e-07 1.040714e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.70934e-08 -rel. change during last iteration : -2.05181e-13 - -degrees of freedom (FIT_NDF) : 399 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.54528e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.28406e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0104071 +/- 1.384e-05 (0.1329%) - - -******************************************************************************* -Sat Jul 28 14:40:34 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 403 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.2237381333e-08 -2.78e-08 2.01e-07 1.037334e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.22374e-08 -rel. change during last iteration : -2.78219e-13 - -degrees of freedom (FIT_NDF) : 402 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.51736e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.04412e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0103733 +/- 1.146e-05 (0.1105%) - - -******************************************************************************* -Sat Jul 28 14:40:34 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 391 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 8.7212663578e-09 -3.75e-08 1.99e-07 1.026755e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 8.72127e-09 -rel. change during last iteration : -3.75212e-13 - -degrees of freedom (FIT_NDF) : 390 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.72887e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.23622e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0102676 +/- 1.008e-05 (0.09815%) - - -******************************************************************************* -Sat Jul 28 14:40:35 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 411 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.1427013230e-08 -3.94e-08 1.99e-07 1.076472e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.1427e-08 -rel. change during last iteration : -3.94226e-13 - -degrees of freedom (FIT_NDF) : 410 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.27928e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.78708e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0107647 +/- 1.098e-05 (0.102%) - - -******************************************************************************* -Sat Jul 28 14:40:36 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 425 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.0633600105e-08 -2.48e-08 2.00e-07 1.103650e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.06336e-08 -rel. change during last iteration : -2.48392e-13 - -degrees of freedom (FIT_NDF) : 424 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.97597e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.86642e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0110365 +/- 1.419e-05 (0.1285%) - - -******************************************************************************* -Sat Jul 28 14:40:36 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 417 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.3327811383e-08 -3.54e-08 2.01e-07 1.085158e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.33278e-08 -rel. change during last iteration : -3.54139e-13 - -degrees of freedom (FIT_NDF) : 416 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.66021e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.2038e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0108516 +/- 1.159e-05 (0.1068%) - - -******************************************************************************* -Sat Jul 28 14:40:37 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 422 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.2367660145e-08 -4.15e-08 2.01e-07 1.099989e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.23677e-08 -rel. change during last iteration : -4.14538e-13 - -degrees of freedom (FIT_NDF) : 421 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.42004e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.93769e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0109999 +/- 1.102e-05 (0.1002%) - - -******************************************************************************* -Sat Jul 28 14:40:38 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 428 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.4522487750e-08 -3.89e-08 2.00e-07 1.120086e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.45225e-08 -rel. change during last iteration : -3.89255e-13 - -degrees of freedom (FIT_NDF) : 427 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.83185e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.40105e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0112009 +/- 1.184e-05 (0.1057%) - - -******************************************************************************* -Sat Jul 28 14:40:38 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 404 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.1955130481e-09 -6.61e-08 1.99e-07 1.077462e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.19551e-09 -rel. change during last iteration : -6.60893e-13 - -degrees of freedom (FIT_NDF) : 403 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.2255e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.78549e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0107746 +/- 8.892e-06 (0.08253%) - - -******************************************************************************* -Sat Jul 28 14:40:39 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 414 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.1366887206e-08 -4.69e-08 1.99e-07 1.100617e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.13669e-08 -rel. change during last iteration : -4.69082e-13 - -degrees of freedom (FIT_NDF) : 413 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.24621e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.75227e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0110062 +/- 1.089e-05 (0.09899%) - - -******************************************************************************* -Sat Jul 28 14:40:40 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 406 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.0255015217e-08 -2.44e-08 2.00e-07 1.081837e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.0255e-08 -rel. change during last iteration : -2.4356e-13 - -degrees of freedom (FIT_NDF) : 405 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.07194e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 5.00124e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0108184 +/- 1.474e-05 (0.1362%) - - -******************************************************************************* -Sat Jul 28 14:40:40 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 384 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 8.7623977458e-09 -5.16e-08 1.95e-07 1.058374e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 8.7624e-09 -rel. change during last iteration : -5.16186e-13 - -degrees of freedom (FIT_NDF) : 383 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.78313e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.28783e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0105837 +/- 1.051e-05 (0.09928%) - - -******************************************************************************* -Sat Jul 28 14:40:41 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 395 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.0226575905e-08 -5.18e-08 1.95e-07 1.086820e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.02266e-08 -rel. change during last iteration : -5.17667e-13 - -degrees of freedom (FIT_NDF) : 394 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.09468e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.59558e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0108682 +/- 1.105e-05 (0.1016%) - - -******************************************************************************* -Sat Jul 28 14:40:42 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 381 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.0475831415e-08 -4.68e-08 1.94e-07 1.066478e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.04758e-08 -rel. change during last iteration : -4.6808e-13 - -degrees of freedom (FIT_NDF) : 380 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.25052e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.7568e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0106648 +/- 1.167e-05 (0.1094%) - - -******************************************************************************* -Sat Jul 28 14:40:42 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 320 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.7830880276e-09 -1.24e-08 1.94e-07 9.171069e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.78309e-09 -rel. change during last iteration : -1.23709e-13 - -degrees of freedom (FIT_NDF) : 319 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.93947e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.43984e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00917107 +/- 1.196e-05 (0.1305%) - - -******************************************************************************* -Sat Jul 28 14:40:43 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 332 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.0780623789e-08 -1.63e-08 1.94e-07 9.501952e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.07806e-08 -rel. change during last iteration : -1.62664e-13 - -degrees of freedom (FIT_NDF) : 331 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.707e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.25699e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00950195 +/- 1.356e-05 (0.1427%) - - -******************************************************************************* -Sat Jul 28 14:40:43 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 342 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.1145445300e-08 -2.03e-08 1.95e-07 9.698969e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.11454e-08 -rel. change during last iteration : -2.03057e-13 - -degrees of freedom (FIT_NDF) : 341 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.71704e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.26846e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00969897 +/- 1.331e-05 (0.1373%) - - -******************************************************************************* -Sat Jul 28 14:40:44 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 278 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 1.5324542832e-08 -1.00e-01 1.93e-06 8.309815e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 1.53245e-08 -rel. change during last iteration : -1.00156e-06 - -degrees of freedom (FIT_NDF) : 277 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.43796e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 5.53233e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00830982 +/- 1.941e-05 (0.2335%) - - -******************************************************************************* -Sat Jul 28 14:40:45 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 294 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 1.3707076327e-08 -9.71e-01 1.94e-06 8.671874e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 1.37071e-08 -rel. change during last iteration : -9.71398e-06 - -degrees of freedom (FIT_NDF) : 293 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.83972e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.67818e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00867187 +/- 1.727e-05 (0.1992%) - - -******************************************************************************* -Sat Jul 28 14:40:45 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 318 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 8.9120397120e-09 -1.00e-08 1.97e-07 9.124477e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 8.91204e-09 -rel. change during last iteration : -1.00427e-13 - -degrees of freedom (FIT_NDF) : 317 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.30223e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.81137e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00912448 +/- 1.267e-05 (0.1389%) - - -******************************************************************************* -Sat Jul 28 14:40:46 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 324 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.7962921443e-09 -1.13e-08 1.99e-07 9.133144e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.79629e-09 -rel. change during last iteration : -1.13314e-13 - -degrees of freedom (FIT_NDF) : 323 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.91296e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.41371e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00913314 +/- 1.151e-05 (0.126%) - - -******************************************************************************* -Sat Jul 28 14:40:46 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 347 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 8.2141020536e-09 -1.82e-08 2.05e-07 9.427933e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 8.2141e-09 -rel. change during last iteration : -1.81869e-13 - -degrees of freedom (FIT_NDF) : 346 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.87239e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.37402e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00942793 +/- 1.073e-05 (0.1138%) - - -******************************************************************************* -Sat Jul 28 14:40:47 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 323 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 5.7717022516e-09 -9.17e-09 2.04e-07 8.953326e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 5.7717e-09 -rel. change during last iteration : -9.17226e-14 - -degrees of freedom (FIT_NDF) : 322 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.23374e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.79245e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00895333 +/- 9.719e-06 (0.1086%) - - -******************************************************************************* -Sat Jul 28 14:40:48 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 346 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 5.7236008700e-09 -2.91e-08 2.04e-07 9.485257e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 5.7236e-09 -rel. change during last iteration : -2.90776e-13 - -degrees of freedom (FIT_NDF) : 345 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.0731e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.65901e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00948526 +/- 9.021e-06 (0.0951%) - - -******************************************************************************* -Sat Jul 28 14:40:48 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 349 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 5.4104448455e-09 -3.45e-08 2.04e-07 9.564294e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 5.41044e-09 -rel. change during last iteration : -3.44605e-13 - -degrees of freedom (FIT_NDF) : 348 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.943e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.55473e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00956429 +/- 8.702e-06 (0.09098%) - - -******************************************************************************* -Sat Jul 28 14:40:49 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 361 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.1471132790e-08 -1.84e-08 2.07e-07 9.677519e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.14711e-08 -rel. change during last iteration : -1.83591e-13 - -degrees of freedom (FIT_NDF) : 360 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.64484e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.18643e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00967752 +/- 1.204e-05 (0.1244%) - - -******************************************************************************* -Sat Jul 28 14:40:50 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 365 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.0532855644e-08 -2.19e-08 2.08e-07 9.759810e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.05329e-08 -rel. change during last iteration : -2.19108e-13 - -degrees of freedom (FIT_NDF) : 364 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.37926e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.89364e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00975981 +/- 1.139e-05 (0.1167%) - - -******************************************************************************* -Sat Jul 28 14:40:50 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 383 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.8245406120e-08 -1.73e-08 2.09e-07 1.009242e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.82454e-08 -rel. change during last iteration : -1.72641e-13 - -degrees of freedom (FIT_NDF) : 382 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.91107e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.77628e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0100924 +/- 1.417e-05 (0.1404%) - - -******************************************************************************* -Sat Jul 28 14:40:51 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 318 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 7.6543164492e-09 -6.61e-09 2.02e-07 8.932055e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 7.65432e-09 -rel. change during last iteration : -6.61371e-14 - -degrees of freedom (FIT_NDF) : 317 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.91387e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.41461e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00893206 +/- 1.145e-05 (0.1282%) - - -******************************************************************************* -Sat Jul 28 14:40:51 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 333 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 6.7538283011e-09 -2.45e-08 1.98e-07 9.452844e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 6.75383e-09 -rel. change during last iteration : -2.45319e-13 - -degrees of freedom (FIT_NDF) : 332 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.51031e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 2.03429e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00945284 +/- 1.049e-05 (0.111%) - - -******************************************************************************* -Sat Jul 28 14:40:52 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 345 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.1427892815e-08 -2.69e-08 1.94e-07 9.940391e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.14279e-08 -rel. change during last iteration : -2.68539e-13 - -degrees of freedom (FIT_NDF) : 344 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.76373e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.32206e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00994039 +/- 1.343e-05 (0.1351%) - - -******************************************************************************* -Sat Jul 28 14:40:53 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 350 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.5236291740e-08 -2.46e-08 1.92e-07 1.015562e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.52363e-08 -rel. change during last iteration : -2.45609e-13 - -degrees of freedom (FIT_NDF) : 349 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.60734e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.3657e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0101556 +/- 1.543e-05 (0.1519%) - - -******************************************************************************* -Sat Jul 28 14:40:53 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 258 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 2.5346567070e-08 -8.67e-01 1.84e-06 8.055332e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 2.53466e-08 -rel. change during last iteration : -8.66994e-06 - -degrees of freedom (FIT_NDF) : 257 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.931e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 9.86248e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00805533 +/- 2.819e-05 (0.35%) - - -******************************************************************************* -Sat Jul 28 14:40:54 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 264 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 2.4843354367e-08 -1.72e-01 1.83e-06 8.245726e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 2.48434e-08 -rel. change during last iteration : -1.71867e-06 - -degrees of freedom (FIT_NDF) : 263 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.71913e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 9.44614e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00824573 +/- 2.738e-05 (0.3321%) - - -******************************************************************************* -Sat Jul 28 14:40:55 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 284 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 2.2928180245e-08 -6.53e-02 1.90e-06 8.491702e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 2.29282e-08 -rel. change during last iteration : -6.53426e-07 - -degrees of freedom (FIT_NDF) : 283 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.00102e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 8.10183e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0084917 +/- 2.366e-05 (0.2786%) - - -******************************************************************************* -Sat Jul 28 14:40:55 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 278 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 3.5375456701e-08 -3.18e-03 1.90e-06 8.375249e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 3.53755e-08 -rel. change during last iteration : -3.18028e-08 - -degrees of freedom (FIT_NDF) : 277 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.13009e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.27709e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00837525 +/- 2.989e-05 (0.3569%) - - -******************************************************************************* -Sat Jul 28 14:40:56 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 293 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 2 2.6338985441e-08 -8.52e-01 1.90e-06 8.760356e-03 - -After 2 iterations the fit converged. -final sum of squares of residuals : 2.6339e-08 -rel. change during last iteration : -8.51586e-06 - -degrees of freedom (FIT_NDF) : 292 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.49747e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 9.0202e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00876036 +/- 2.458e-05 (0.2806%) - - -******************************************************************************* -Sat Jul 28 14:40:56 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 314 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.4676120334e-08 -4.29e-09 1.91e-07 9.202653e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.46761e-08 -rel. change during last iteration : -4.29075e-14 - -degrees of freedom (FIT_NDF) : 313 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.87905e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 7.88374e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00920265 +/- 2.207e-05 (0.2398%) - - -******************************************************************************* -Sat Jul 28 14:40:57 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 328 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.5576880607e-08 -1.03e-08 1.93e-07 9.437963e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.55769e-08 -rel. change during last iteration : -1.0302e-13 - -degrees of freedom (FIT_NDF) : 327 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.90186e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.76357e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00943796 +/- 1.657e-05 (0.1755%) - - -******************************************************************************* -Sat Jul 28 14:40:58 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 333 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.6474655091e-08 -1.36e-08 1.91e-07 9.666568e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.64747e-08 -rel. change during last iteration : -1.35766e-13 - -degrees of freedom (FIT_NDF) : 332 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.04432e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 4.96225e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00966657 +/- 1.696e-05 (0.1755%) - - -******************************************************************************* -Sat Jul 28 14:40:58 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 334 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.1040949942e-08 -2.00e-08 1.93e-07 9.649528e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.10409e-08 -rel. change during last iteration : -1.99585e-13 - -degrees of freedom (FIT_NDF) : 333 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.75813e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.3156e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00964953 +/- 1.373e-05 (0.1422%) - - -******************************************************************************* -Sat Jul 28 14:40:59 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 353 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 1.1001152782e-08 -2.88e-08 1.95e-07 1.001096e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 1.10012e-08 -rel. change during last iteration : -2.87678e-13 - -degrees of freedom (FIT_NDF) : 352 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.59046e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 3.12533e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.010011 +/- 1.281e-05 (0.128%) - - -******************************************************************************* -Sat Jul 28 14:41:00 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 321 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 2.6460404150e-08 -6.20e-09 1.91e-07 9.431118e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 2.64604e-08 -rel. change during last iteration : -6.2022e-14 - -degrees of freedom (FIT_NDF) : 320 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.09334e-06 -variance of residuals (reduced chisquare) = WSSR/ndf : 8.26888e-11 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00943112 +/- 2.238e-05 (0.2373%) - - -******************************************************************************* -Sat Jul 28 14:41:00 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 321 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 5.2800222997e-08 -4.05e-09 1.87e-07 9.598032e-03 - -After 3 iterations the fit converged. -final sum of squares of residuals : 5.28002e-08 -rel. change during last iteration : -4.04815e-14 - -degrees of freedom (FIT_NDF) : 320 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.28453e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.65001e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.00959803 +/- 3.22e-05 (0.3355%) - - -******************************************************************************* -Sat Jul 28 14:41:01 2018 - - -FIT: data read from ocum u ($1*0.5):(($0+1)/A) - format = x:z - x range restricted to [5.00000 : 20.0000] - #datapoints = 345 - residuals are weighted equally (unit weight) - -function used for fitting: y(x) - y(x) = a * x**p -fitted parameters initialized with current variable values - - 3 4.7637447340e-08 -7.70e-09 1.89e-07 1.013360e-02 - -After 3 iterations the fit converged. -final sum of squares of residuals : 4.76374e-08 -rel. change during last iteration : -7.69576e-14 - -degrees of freedom (FIT_NDF) : 344 -rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.17678e-05 -variance of residuals (reduced chisquare) = WSSR/ndf : 1.38481e-10 - -Final set of parameters Asymptotic Standard Error -======================= ========================== -a = 0.0101336 +/- 2.821e-05 (0.2784%) diff --git a/examples/global-lunar-bombardment/getjob b/examples/global-lunar-bombardment/getjob deleted file mode 100755 index 35b613ff..00000000 --- a/examples/global-lunar-bombardment/getjob +++ /dev/null @@ -1,2 +0,0 @@ -#!/bin/bash -rsync -vah --progress "brown.rcac.purdue.edu:/scratch/brown/daminton/NPF-global-Kd0.0001/" ./ diff --git a/examples/global-lunar-bombardment/presentation/.gitignore b/examples/global-lunar-bombardment/presentation/.gitignore new file mode 100644 index 00000000..e69de29b diff --git a/examples/global-lunar-bombardment/runjob b/examples/global-lunar-bombardment/runjob deleted file mode 100755 index 121d4be4..00000000 --- a/examples/global-lunar-bombardment/runjob +++ /dev/null @@ -1,14 +0,0 @@ -#!/bin/sh -l -#PBS -q daminton -#PBS -l walltime=48:00:00 -#PBS -l nodes=1:ppn=6,naccesspolicy=singleuser -#PBS -N globaltest -#PBS -j oe -source /etc/profile -module load intel -module load idl -cd $PBS_O_WORKDIR -export OMP_NUM_THREADS=6 -date > time.out -idl < start.in > term.out -date >> time.out diff --git a/examples/global-lunar-bombardment/scale.ipynb b/examples/global-lunar-bombardment/scale.ipynb new file mode 100644 index 00000000..c7ad8e41 --- /dev/null +++ b/examples/global-lunar-bombardment/scale.ipynb @@ -0,0 +1,312 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pylab as plt\n", + "from scipy.interpolate import interp1d" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv('craterscale.dat', sep='\\s+')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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#Dimp(m)Dcrat(m)
01.000000e-096.481735e-06
11.020000e-096.583192e-06
21.040400e-096.686237e-06
31.061208e-096.790895e-06
41.082432e-096.897191e-06
.........
14137.302589e+048.652002e+05
14147.597614e+049.033476e+05
14157.904558e+049.431769e+05
14168.223902e+049.847623e+05
14178.556147e+041.028181e+06
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1418 rows × 2 columns

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" + ], + "text/plain": [ + " #Dimp(m) Dcrat(m)\n", + "0 1.000000e-09 6.481735e-06\n", + "1 1.020000e-09 6.583192e-06\n", + "2 1.040400e-09 6.686237e-06\n", + "3 1.061208e-09 6.790895e-06\n", + "4 1.082432e-09 6.897191e-06\n", + "... ... ...\n", + "1413 7.302589e+04 8.652002e+05\n", + "1414 7.597614e+04 9.033476e+05\n", + "1415 7.904558e+04 9.431769e+05\n", + "1416 8.223902e+04 9.847623e+05\n", + "1417 8.556147e+04 1.028181e+06\n", + "\n", + "[1418 rows x 2 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(df['#Dimp(m)'], df['Dcrat(m)'])" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Dikm = df['#Dimp(m)'] / 1000\n", + "Dckm = df['Dcrat(m)'] / 1000\n", + "\n", + "plt.plot(Dckm, Dikm)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "df['log(Dc)'] = np.log(df['Dcrat(m)'])\n", + "df['log(Di)'] = np.log(df['#Dimp(m)'])" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "xnew = df['log(Dc)'].values\n", + "ynew = df['log(Di)'].values\n", + "interp = interp1d(xnew, ynew, fill_value='extrapolate')" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "15258.479128540499" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.exp(interp(np.log(200000))) #crater size as input; impactor size as output" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " Initializing simulation domain and determining minimum impactor size\n", + " Generating a test crater\n", + " Dimp = 44200.2475301581 \n", + " Vimp = 18300.0000000000 \n", + " angle = 45.0000000000000 \n", + " x offset = 0.000000000000000E+000\n", + " y offset = 0.000000000000000E+000\n", + " 0% ( ) Dcrat = 500013.835241806 " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "186296.7168337693" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.exp(interp(np.log(2400000)))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/global-lunar-bombardment/start.in b/examples/global-lunar-bombardment/start.in old mode 100755 new mode 100644 diff --git a/examples/mare-with-rays-model2/.gitignore b/examples/mare-with-rays-model2/.gitignore index ffd2a4a2..2632688e 100644 --- a/examples/mare-with-rays-model2/.gitignore +++ b/examples/mare-with-rays-model2/.gitignore @@ -1 +1,5 @@ +*.jpg +*.png +*.out +surface_* *.idea diff --git a/examples/mare-with-rays-model2/ctem.in b/examples/mare-with-rays-model2/ctem.in index 5e945074..d9051c55 100644 --- a/examples/mare-with-rays-model2/ctem.in +++ b/examples/mare-with-rays-model2/ctem.in @@ -6,13 +6,13 @@ numintervals 300 ! Total number of intervals restart F ! Restart a previous run impfile eta-3.2.dat ! Impactor SFD rate file (col 1: Dimp (m), col 2: ! impactors > D (m**(-2) y**(-1)) popupconsole F ! Pop up console window every output interval -saveshaded F ! Output shaded relief images +saveshaded T ! Output shaded relief images saverego F ! Output regolith map images savepres F ! Output simplified console display images (presentation-compatible images) savetruelist F ! Save the true cumulative crater distribution for each interval (large file size) sfdcompare Robbins2014-A15-FassettCounts-binned.dat ! File name for the SFD comparison file used in the console display -shadedminh -85.0 ! Minimum height for shaded relief map (m) (Default - automatic) -shadedmaxh 85.0 ! Maximum height for shaded relief map (m) (Default - automatic) +shadedminh -60.0 ! Minimum height for shaded relief map (m) (Default - automatic) +shadedmaxh 10.0 ! Maximum height for shaded relief map (m) (Default - automatic) runtype single ! Run type: options are normal / statistical ! single: craters accumulate in successive intervals ! statistical: surface is reset between intervals diff --git a/examples/mare-with-rays-model2/ctem_io_writers.py b/examples/mare-with-rays-model2/ctem_io_writers.py index 7d7934e8..3824a5ae 100644 --- a/examples/mare-with-rays-model2/ctem_io_writers.py +++ b/examples/mare-with-rays-model2/ctem_io_writers.py @@ -90,6 +90,7 @@ def image_dem(parameters, DEM): solar_angle = 20.0 #parameters['solar_angle'] ls = LightSource(azdeg=azimuth, altdeg=solar_angle) + dem_img = ls.hillshade(DEM, vert_exag=ve, dx=pix, dy=pix) # Generate image to put into an array @@ -97,14 +98,36 @@ def image_dem(parameters, DEM): width = gridsize / dpi fig = matplotlib.pyplot.figure(figsize=(width, height), dpi=dpi) ax = matplotlib.pyplot.axes([0, 0, 1, 1]) - ax.imshow(dem_img, interpolation="nearest", cmap='gray',vmin=0.0,vmax=1.0) + ax.imshow(dem_img, interpolation="nearest", cmap='gray') matplotlib.pyplot.axis('off') # Save image to file filename = parameters['workingdir'] + 'surf' + os.sep + "surf%06d.png" % parameters['ncount'] matplotlib.pyplot.savefig(filename,dpi=dpi,bbox_inches=0) return - + +def image_regolith(parameters, regolith): + + #Create scaled regolith image + minref = parameters['pix'] * 1.0e-4 + maxreg = numpy.amax(regolith) + minreg = numpy.amin(regolith) + if (minreg < minref): minreg = minref + if (maxreg < minref): maxreg = (minref + 1.0e3) + regolith_scaled = numpy.copy(regolith) + numpy.place(regolith_scaled, regolith_scaled < minref, minref) + regolith_scaled = 254.0 * ((numpy.log(regolith_scaled) - numpy.log(minreg)) / (numpy.log(maxreg) - numpy.log(minreg))) + + #Save image to file + filename = parameters['workingdir'] + 'rego' + os.sep + "rego%06d.png" % parameters['ncount'] + height = parameters['gridsize'] / dpi + width = height + fig = matplotlib.pyplot.figure(figsize = (width, height), dpi = dpi) + fig.figimage(regolith_scaled, cmap = matplotlib.cm.nipy_spectral, origin = 'lower') + matplotlib.pyplot.savefig(filename) + + return + def image_shaded_relief(parameters, DEM): dpi = 300.0 #72.0 pix = parameters['pix'] @@ -136,7 +159,9 @@ def image_shaded_relief(parameters, DEM): else: shadedmaxh = parameters['shadedmaxh'] - dem_img = ls.shade(DEM, cmap=cmap,blend_mode=mode, fraction=1.0, + + + dem_img = ls.shade(DEM, cmap=cmap,blend_mode=mode, vert_exag=ve, dx=pix, dy=pix, vmin=shadedminh, vmax=shadedmaxh) @@ -145,36 +170,13 @@ def image_shaded_relief(parameters, DEM): width = gridsize / dpi fig = matplotlib.pyplot.figure(figsize=(width, height), dpi=dpi) ax = matplotlib.pyplot.axes([0, 0, 1, 1]) - ax.imshow(dem_img,interpolation="nearest",vmin=0.0,vmax=1.0) + ax.imshow(dem_img,interpolation="nearest") matplotlib.pyplot.axis('off') # Save image to file filename = parameters['workingdir'] + 'shaded' + os.sep + "shaded%06d.png" % parameters['ncount'] matplotlib.pyplot.savefig(filename,dpi=dpi,bbox_inches=0) return - -def image_regolith(parameters, regolith): - # Create scaled regolith image - minref = parameters['pix'] * 1.0e-4 - maxreg = numpy.amax(regolith) - minreg = numpy.amin(regolith) - if (minreg < minref): minreg = minref - if (maxreg < minref): maxreg = (minref + 1.0e3) - regolith_scaled = numpy.copy(regolith) - numpy.place(regolith_scaled, regolith_scaled < minref, minref) - regolith_scaled = 254.0 * ( - (numpy.log(regolith_scaled) - numpy.log(minreg)) / (numpy.log(maxreg) - numpy.log(minreg))) - - # Save image to file - filename = parameters['workingdir'] + 'rego' + os.sep + "rego%06d.png" % parameters['ncount'] - height = parameters['gridsize'] / dpi - width = height - fig = matplotlib.pyplot.figure(figsize=(width, height), dpi=dpi) - fig.figimage(regolith_scaled, cmap=matplotlib.cm.nipy_spectral, origin='lower') - matplotlib.pyplot.savefig(filename) - - return - def create_rplot(parameters,odist,pdist,tdist,ph1): #Parameters: empirical saturation limit and dfrac satlimit = 3.12636 diff --git a/examples/morphology_test_cases/.DS_Store b/examples/morphology_test_cases/.DS_Store index b4b53f57..3a3743e9 100644 Binary files a/examples/morphology_test_cases/.DS_Store and b/examples/morphology_test_cases/.DS_Store differ diff --git a/examples/morphology_test_cases/complex/.gitignore b/examples/morphology_test_cases/complex/.gitignore new file mode 100644 index 00000000..bddbfed8 --- /dev/null +++ b/examples/morphology_test_cases/complex/.gitignore @@ -0,0 +1,4 @@ +*.jpg +*.png +savestate +*.dat diff --git a/examples/morphology_test_cases/complex/CTEM b/examples/morphology_test_cases/complex/CTEM index 5c273d24..9173fccf 120000 --- a/examples/morphology_test_cases/complex/CTEM +++ b/examples/morphology_test_cases/complex/CTEM @@ -1 +1 @@ -/home/daminton/git/CTEM/build/src/CTEM \ No newline at end of file +../../../build/src/CTEM \ No newline at end of file diff --git a/examples/morphology_test_cases/complex/ctem.in b/examples/morphology_test_cases/complex/ctem.in index b66328e6..c89a94a1 100755 --- a/examples/morphology_test_cases/complex/ctem.in +++ b/examples/morphology_test_cases/complex/ctem.in @@ -10,6 +10,8 @@ testxoffset 0.0e0 ! x-axis offset of crater center testyoffset 0.0e0 ! y-axis offset of crater center from grid center (m) - Default 0.0 tallyonly F ! Tally the craters without generating any craters testtally F +quasimc F ! MC run constrained by non-MC 'real' craters given in a list +realcraterlist craterlist.in ! list of 'real' craters for Quasi-MC runs @@ -58,7 +60,7 @@ doseismic F ! Perform seismic shaking calcul ! Optional inputF These have internally set default values that work reasonable well. Comment them out with deplimit 9e99 ! Depth limit for craters (m) - Default is to ignore. -maxcrat 1.00e0 ! Fraction of gridsize that maximum crater can be - Default 1.0 +maxcrat 1.00e-98 ! Fraction of gridsize that maximum crater can be - Default 1.0 killatmaxcrater F ! Stop the run if a crater larger than the maximum is produced - Default F basinimp 35.0e3 ! Size of impactor to switch to lunar basin scaling law - Default is to ignore docollapse T ! Do slope collapse - Default T @@ -70,6 +72,6 @@ fe 4.00 ejecta_truncation 4.0 dorays F superdomain F - +doregotrack F dorealistic T diff --git a/examples/morphology_test_cases/complex/savestate/FassettCounts.txt b/examples/morphology_test_cases/complex/savestate/FassettCounts.txt deleted file mode 100755 index 44ce2d5c..00000000 --- a/examples/morphology_test_cases/complex/savestate/FassettCounts.txt +++ /dev/null @@ -1,1859 +0,0 @@ -0.262536589 -0.176770321 -0.175995859 -0.156565826 -0.130153339 -0.126776836 -0.126553629 -0.118358564 -0.116568588 -0.106986374 -0.105429213 -0.098078171 -0.092612749 -0.090501684 -0.09047876 -0.08781776 -0.085820858 -0.085754002 -0.083454996 -0.076337128 -0.075205063 -0.07340358 -0.073309078 -0.072861195 -0.068587427 -0.068080952 -0.066606033 -0.065360443 -0.065199574 -0.064515709 -0.064202063 -0.062984385 -0.061691271 -0.061284111 -0.060228058 -0.059947254 -0.055627617 -0.055591274 -0.053209719 -0.05240097 -0.051933239 -0.051539026 -0.050585707 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-0.005866598 -0.005859877 -0.005851454 -0.005845602 -0.005840521 -0.005823341 -0.005810097 -0.005768602 -0.005765007 -0.005762871 -0.005753492 -0.005752243 -0.005749565 -0.005721613 -0.005683754 -0.005637468 -0.005622242 -0.005615107 -0.005605305 -0.005576214 -0.005545177 -0.005544794 -0.005515455 -0.005495152 -0.005432837 -0.005423744 -0.00542115 -0.005391729 -0.005372042 -0.005344336 -0.00532242 -0.005316675 -0.005290703 -0.005276886 -0.005098354 -0.005076155 -0.004904335 -0.0048818 -0.004871721 -0.004807217 -0.004717197 -0.004528528 -0.004348799 diff --git a/examples/morphology_test_cases/complex/savestate/ctem.in b/examples/morphology_test_cases/complex/savestate/ctem.in deleted file mode 100755 index adf59a09..00000000 --- a/examples/morphology_test_cases/complex/savestate/ctem.in +++ /dev/null @@ -1,75 +0,0 @@ -! CTEM Input file - - -! Testing input. These are used to perform non-Monte Carlo tests. -testflag T ! Set to T to create a single crater with user-defined impactor properties -testimp 1.000e3 ! Diameter of test impactor (m) -testvel 15.0e3 ! Velocity of test crater (m/s) -testang 90.0 ! Impact angle of test crater (deg) - Default 90.0 -testxoffset 25.0e3 ! x-axis offset of crater center from grid center (m) - Default 0.0 -testyoffset 0.0e0 ! y-axis offset of crater center from grid center (m) - Default 0.0 -tallyonly F ! Tally the craters without generating any craters -testtally F - - - -! IDL driver in uts -interval 1.0 -numintervals 2 ! Total number of intervals -restart T ! Restart a previous run -impfile NPFextrap.dat ! Impactor SFD rate file (col 1: Dimp (m), col 2: ! impactors > D (m**(-2) y**(-1)) -popupconsole F ! Pop up console window every output interval -saveshaded F ! Output shaded relief images -saverego F ! Output regolith map images -savepres F ! Output simplified console display images (presentation-compatible images) -savetruelist T ! Save the true cumulative crater distribution for each interval (large file size) -sfdcompare LOLASethCraterCatalogv8gt20-binned.dat ! File name for the SFD comparison file used in the console display -shadedminh -85.0 ! Minimum height for shaded relief map (m) (Default - automatic) -shadedmaxh 85.0 ! Maximum height for shaded relief map (m) (Default - automatic) -runtype single ! Run type: options are normal / statistical - ! single: craters accumulate in successive intervals - ! statistical: surface is reset between intervals - -! CTEM required inputs -seed 23790 ! Random number generator seed -gridsize 2000 ! Size of grid in pixels -numlayers 10 ! Number of perched layers -pix 2.0e2 ! Pixel size (m) -mat rock ! Material (rock or ice) -! Bedrock scaling parameters -mu_b 0.55e0 ! Experimentally derived parameter for bedrock crater scaling law -kv_b 0.20e0 ! Experimentally derived parameter for bedrock crater scaling law -trho_b 2250.0e0 ! Target density (bedrock) (kg/m**3) -ybar_b 0.0e6 ! Bedrock strength (Pa) -! Regolith scaling parameters -mu_r 0.55e0 ! Experimentally derived parameter for regolith crater scaling law -kv_r 0.20e0 ! Experimentally derived parameter for regolith crater scaling law -trho_r 2250.0e0 ! Target density (regolith) (kg/m**3) -ybar_r 0.00e6 ! Regolith strength (Pa) -! Body parameters -gaccel 1.62e0 ! Gravitational acceleration at target (m/s**2) -trad 1737.35e3 ! Target radius (m) -prho 2500.0e0 ! Projectile density (kg/m**3) -sfdfile production.dat ! Impactor SFD file (col 1: Dimp (m), col 2: ! impactors > D -velfile lunar-MBA-impactor-velocities.dat ! Impactor velocity dist file - -! Seismic shaking input (required if seismic shaking is set to T, otherwise ignored) -doseismic F ! Perform seismic shaking calculations with each impact - Default F - -! Optional inputF These have internally set default values that work reasonable well. Comment them out with -deplimit 9e99 ! Depth limit for craters (m) - Default is to ignore. -maxcrat 1.00e0 ! Fraction of gridsize that maximum crater can be - Default 1.0 -killatmaxcrater F ! Stop the run if a crater larger than the maximum is produced - Default F -basinimp 35.0e3 ! Size of impactor to switch to lunar basin scaling law - Default is to ignore -docollapse T ! Do slope collapse - Default T -dosoftening T ! Do ejecta softening - Default T -doangle T ! Vary the impact angle. Set to F to have only vertical impacts - Default T -Kd1 0.0001 -psi 2.000 -fe 4.00 -ejecta_truncation 4.0 -dorays F -superdomain F - -dorealistic T - diff --git a/examples/morphology_test_cases/complex/savestate/frames/.gitignore b/examples/morphology_test_cases/complex/savestate/frames/.gitignore deleted file mode 100644 index 88cc1070..00000000 --- a/examples/morphology_test_cases/complex/savestate/frames/.gitignore +++ /dev/null @@ -1,2 +0,0 @@ -*.jpg -*.png diff --git a/examples/morphology_test_cases/complex/savestate/getjob b/examples/morphology_test_cases/complex/savestate/getjob deleted file mode 100755 index 35b613ff..00000000 --- a/examples/morphology_test_cases/complex/savestate/getjob +++ /dev/null @@ -1,2 +0,0 @@ -#!/bin/bash -rsync -vah --progress "brown.rcac.purdue.edu:/scratch/brown/daminton/NPF-global-Kd0.0001/" ./ diff --git a/examples/morphology_test_cases/complex/savestate/params.txt b/examples/morphology_test_cases/complex/savestate/params.txt deleted file mode 100644 index a92460d4..00000000 --- a/examples/morphology_test_cases/complex/savestate/params.txt +++ /dev/null @@ -1,4 +0,0 @@ -5 -6.0 -4.0 - diff --git a/examples/morphology_test_cases/complex/savestate/rego/.gitignore b/examples/morphology_test_cases/complex/savestate/rego/.gitignore deleted file mode 100644 index 88cc1070..00000000 --- a/examples/morphology_test_cases/complex/savestate/rego/.gitignore +++ /dev/null @@ -1,2 +0,0 @@ -*.jpg -*.png diff --git a/examples/morphology_test_cases/complex/savestate/runjob b/examples/morphology_test_cases/complex/savestate/runjob deleted file mode 100755 index 863a2d32..00000000 --- a/examples/morphology_test_cases/complex/savestate/runjob +++ /dev/null @@ -1,14 +0,0 @@ -#!/bin/sh -l -#PBS -q daminton -#PBS -l walltime=48:00:00 -#PBS -l nodes=1:ppn=6,naccesspolicy=singleuser -#PBS -N NPFglKD0.0001 -#PBS -j oe -source /etc/profile -module load intel -module load idl -cd $PBS_O_WORKDIR -export OMP_NUM_THREADS=6 -date > time.out -idl < start.in > term.out -date >> time.out diff --git a/examples/morphology_test_cases/complex/savestate/shaded/.gitignore b/examples/morphology_test_cases/complex/savestate/shaded/.gitignore deleted file mode 100644 index 88cc1070..00000000 --- a/examples/morphology_test_cases/complex/savestate/shaded/.gitignore +++ /dev/null @@ -1,2 +0,0 @@ -*.jpg -*.png diff --git a/examples/morphology_test_cases/complex/savestate/testprofile.plt b/examples/morphology_test_cases/complex/savestate/testprofile.plt deleted file mode 100644 index 2b1c30b7..00000000 --- a/examples/morphology_test_cases/complex/savestate/testprofile.plt +++ /dev/null @@ -1,2 +0,0 @@ -#gnuplot 5.2 script -reset diff --git a/examples/morphology_test_cases/global/.gitignore b/examples/morphology_test_cases/global/.gitignore new file mode 100644 index 00000000..7c70f4f6 --- /dev/null +++ b/examples/morphology_test_cases/global/.gitignore @@ -0,0 +1 @@ +!craterscale.dat diff --git a/idl/LOLASethCraterCatalogv8gt20-binned.dat 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4.3480161615777856E-015 + 23156.180000000000 4.0675896048309341E-015 + 24091.689999999999 3.8117096112415683E-015 + 25064.993999999999 3.5779257644432805E-015 + 26077.619999999999 3.3640340249452290E-015 + 27131.155999999999 3.1680514581870478E-015 + 28227.254000000001 2.9881923819981091E-015 + 29367.634999999998 2.8228470667151590E-015 + 30554.088000000000 2.6705636121978543E-015 + 31788.473000000002 2.5300310463776182E-015 + 33072.726999999999 2.4000640310196475E-015 + 34408.864999999998 2.2795898796367450E-015 + 35798.983999999997 2.3913811981261564E-015 + 37245.262999999999 2.2452778320345745E-015 + 38749.970999999998 2.1116445392284188E-015 + 40315.470000000001 1.9889073395881336E-015 + 41944.214999999997 1.8756682859287949E-015 + 43638.760999999999 1.7706845196908967E-015 + 45401.767000000000 1.6728509691286447E-015 + 47235.999000000003 1.5811860493936842E-015 + 49144.332999999999 1.4948199595382982E-015 + 51129.764000000003 1.4129850420333424E-015 + 53195.406999999999 1.3350085506505829E-015 + 55344.500999999997 1.2603069468879770E-015 + 57580.419000000002 1.1883813989582614E-015 + 59906.667999999998 1.1188146994378623E-015 + 62326.896999999997 1.0512686000772998E-015 + 64844.904000000002 9.8548153797691524E-016 + 67464.638000000006 9.2126644028569005E-016 + 70190.209000000003 8.5850787903785407E-016 + 73025.894000000000 7.9715854536744735E-016 + 75976.139999999999 7.3723465610053916E-016 + 79045.576000000001 6.7880979188701792E-016 + 82239.017000000007 6.2200738173102105E-016 + 85561.472999999998 1.0000000000000001E-030 diff --git a/examples/morphology_test_cases/global/craterlist.in b/examples/morphology_test_cases/global/craterlist.in new file mode 100644 index 00000000..86be1cc8 --- /dev/null +++ b/examples/morphology_test_cases/global/craterlist.in @@ -0,0 +1,74 @@ +# Dcrat(m) vel(m/s) ang(deg) lat(lunar_deg) long(lunar_deg) t(Ga) +2050000 18.3e3 45.0 -54.0 190.0 4.31 +690000 18.3e3 45.0 -4.6 52.0 4.309 +264656 18.3e3 45.0 -15.61332546 69.3302824 4.308 +326000 18.3e3 45.0 0.8 0.5 4.307 +330000 18.3e3 45.0 11.3 351.1 4.306 +260000 18.3e3 45.0 7.2 341.8 4.305 +410000 18.3e3 45.0 14.2 3.1 4.304 +374000 18.3e3 45.0 39.5 218.0 4.303 +880000 18.3e3 45.0 -35.5 96.0 4.302 +450000 18.3e3 45.0 -53.5 24.0 4.301 +835450 18.3e3 45.0 -18.62889246 344.6275284 4.3 +730000 18.3e3 45.0 -7.7 26.8 4.295 +308094 18.3e3 45.0 59.27627528 212.7525524 4.29 +319231 18.3e3 45.0 -32.80724329 163.6812023 4.28 +220000 18.3e3 45.0 -37.25 147.4 4.27 +378676 18.3e3 45.0 -81.07525086 123.29507 4.263 +290000 18.3e3 45.0 27.7 268.2 4.262 +212469 18.3e3 45.0 -16.00128558 293.9277616 4.261 +886977 18.3e3 45.0 -1.825465537 86.643846 4.26 +359054 18.3e3 45.0 25.10176659 190.1586435 4.257 +350250 18.3e3 45.0 -55.45675 314.7328254 4.24 +311641 18.3e3 45.0 -57.31934795 163.1532724 4.234 +205004 18.3e3 45.0 40.23031791 251.638764 4.233 +275673 18.3e3 45.0 -28.12752755 251.4752918 4.232 +314000 18.3e3 45.0 49.4 179.0 4.231 +393547 18.3e3 45.0 13.45214311 201.8355846 4.23 +315767 18.3e3 45.0 51.34935346 237.4660505 4.229 +210000 18.3e3 45.0 35.7 16.8 4.228 +255770 18.3e3 45.0 -19.66310347 149.3783832 4.226 +240785 18.3e3 45.0 -19.67249958 123.3894353 4.225 +226910 18.3e3 45.0 42.1224033 241.0298572 4.224 +250897 18.3e3 45.0 -31.48490896 112.8567971 4.222 +658628 18.3e3 45.0 27.02355091 18.8607004 4.22 +221894 18.3e3 45.0 -11.6594669 104.8591143 4.216 +245208 18.3e3 45.0 -46.9757255 176.3039635 4.213 +211558 18.3e3 45.0 -22.49490849 352.9452915 4.21 +216511 18.3e3 45.0 -32.60970161 354.7296497 4.205 +333285 18.3e3 45.0 34.36310409 262.9001708 4.2 +220895 18.3e3 45.0 57.65611017 261.1243421 4.195 +210024 18.3e3 45.0 -14.1118114 207.354835 4.19 +233749 18.3e3 45.0 -38.34957695 179.1268146 4.186 +199964 18.3e3 45.0 -44.53551179 305.0047616 4.183 +265187 18.3e3 45.0 40.37696785 98.55965302 4.18 +221563 18.3e3 45.0 45.45055682 152.8752047 4.176 +370000 18.3e3 45.0 4.8 23.4 4.173 +914999 18.3e3 45.0 -14.46498859 34.667295 4.17 +582285 18.3e3 45.0 18.3492662 175.0038852 4.141 +233783 18.3e3 45.0 -5.010529467 291.3107245 4.14 +475882 18.3e3 45.0 -36.06581235 208.2781341 4.139 +320524 18.3e3 45.0 -57.39129925 135.0916217 4.132 +231696 18.3e3 45.0 51.05426018 164.8361278 4.131 +635875 18.3e3 45.0 -50.09793662 266.3026523 4.13 +330791 18.3e3 45.0 5.443621698 141.1357112 4.128 +205592 18.3e3 45.0 -35.37554544 193.9546907 4.12 +417139 18.3e3 45.0 -4.44301171 202.529925 4.11 +218802 18.3e3 45.0 -10.11195196 156.8421346 4.1 +628680 18.3e3 45.0 27.48770128 148.7715485 4.094 +401559 18.3e3 45.0 26.12735269 147.0496675 4.093 +220531 18.3e3 45.0 -58.69456785 -14.7671648 4.092 +207028 18.3e3 45.0 70.33554386 120.0916322 4.091 +407689 18.3e3 45.0 -24.68698867 320.3032688 4.09 +549393 18.3e3 45.0 2.02469787 230.8428995 4.089 +603126 18.3e3 45.0 57.23607662 81.9745336 4.08 +204083 18.3e3 45.0 61.5741765 90.19942127 4.076 +252194 18.3e3 45.0 -68.64688088 109.0653245 4.074 +299358 18.3e3 45.0 -67.18128041 291.2041322 4.073 +372000 18.3e3 45.0 16.5 66 4.071 +1091521 18.3e3 45.0 16.97625333 59.8465947 4.07 +1113841 18.3e3 45.0 33.46347978 342.5932292 3.87 +312747 18.3e3 45.0 -74.8652181 133.5337028 3.86 +928472 18.3e3 45.0 -19.73452267 265.4434194 3.81 +205511 18.3e3 45.0 -27.0857633 80.81672154 3.7 +233931 18.3e3 45.0 44.52984365 328.81901 3.65 \ No newline at end of file diff --git a/examples/morphology_test_cases/global/craterproduction.py b/examples/morphology_test_cases/global/craterproduction.py new file mode 100644 index 00000000..4d81b687 --- /dev/null +++ b/examples/morphology_test_cases/global/craterproduction.py @@ -0,0 +1,216 @@ +import numpy as np +from scipy import optimize + +# The Neukum production function for the Moon and Mars +#Lunar PF from: Ivanov, Neukum, and Hartmann (2001) SSR v. 96 pp. 55-86 +#Mars PF from: Ivanov (2001) SSR v. 96 pp. 87-104 +sfd_coef = { + "NPF_Moon" : [-3.0876,-3.557528,+0.781027,+1.021521,-0.156012,-0.444058,+0.019977,+0.086850,-0.005874,-0.006809,+8.25e-4, +5.54e-5], + "NPF_Mars" : [-3.384, -3.197, +1.257, +0.7915, -0.4861, -0.3630, +0.1016, +6.756e-2,-1.181e-2,-4.753e-3,+6.233e-4,+5.805e-5] + } +sfd_range = { + "NPF_Moon" : [0.01,1000], + "NPF_Mars" : [0.015,362] +} +#Exponential time constant (Ga) +tau = 6.93 +Nexp = 5.44e-14 + +time_coef = { + "NPF_Moon" : Nexp, + "NPF_Mars" : Nexp * 10**(sfd_coef.get("NPF_Mars")[0]) / 10**(sfd_coef.get("NPF_Moon")[0]) +} + +def N1(T, pfmodel): + """ + Return the N(1) value as a function of time for a particular production function model + + Parameters + ---------- + T : numpy array + Time in units of Ga + pfmodel : string + The production function model to use + Currently options are 'NPF_Moon' or 'NPF_Mars' + + Returns + ------- + N1 : numpy array + The number of craters per square kilometer greater than 1 km in diameter + """ + T_valid_range = np.where((T <= 4.5) & (T >= 0.0), T, np.nan) + return time_coef.get(pfmodel) * (np.exp(tau * T_valid_range) - 1.0) + 10 ** (sfd_coef.get(pfmodel)[0]) * T_valid_range + +def CSFD(Dkm,planet): + """ + Return the cumulative size-frequency distribution for a particular production function model + + Parameters + ---------- + Dkm : numpy array + Diameters in units of km + pfmodel : string + The production function model to use + Currently options are 'NPF_Moon' or 'NPF_Mars' + + Returns + ------- + CSFD : numpy array + The number of craters per square kilometer greater than Dkm in diameter at T=1 Ga + """ + logCSFD = sum(co * np.log10(Dkm) ** i for i, co in enumerate(sfd_coef.get(planet))) + return 10**(logCSFD) + +def DSFD(Dkm,planet): + """ + Return the differential size-frequency distribution for a particular production function model + + Parameters + ---------- + Dkm : numpy array + Diameters in units of km + pfmodel : string + The production function model to use + Currently options are 'NPF_Moon' or 'NPF_Mars' + + Returns + ------- + DSFD : numpy array + The differential number of craters (dN/dD) per square kilometer greater than Dkm in diameter at T = 1 Ga + """ + dcoef = sfd_coef.get(planet)[1:] + logDSFD = sum(co * np.log10(Dkm) ** i for i, co in enumerate(dcoef)) + return 10**(logDSFD) * CSFD(Dkm,planet) / Dkm + +def Tscale(T,planet): + """ + Return the number density of craters at time T relative to time T = 1 Ga + + Parameters + ---------- + T : numpy array + Time in units of Ga + pfmodel : string + The production function model to use + Currently options are 'NPF_Moon' or 'NPF_Mars' + + Returns + ------- + Tscale : numpy array + N1(T) / CSFD(Dkm = 1.0) + """ + return N1(T,planet) / CSFD(1.0,planet) + +def pf_csfd(T,Dkm,planet): + """ + Return the cumulative size-frequency distribution for a particular production function model as a function of Time + + Parameters + ---------- + T : numpy array + Time in units of Ga + Dkm : numpy array + Diameters in units of km + pfmodel : string + The production function model to use + Currently options are 'NPF_Moon' or 'NPF_Mars' + + Returns + ------- + pf_csfd : numpy array + The cumulative number of craters per square kilometer greater than Dkm in diameter at time T T + """ + D_valid_range = np.where((Dkm >= sfd_range.get(planet)[0]) & (Dkm <= sfd_range.get(planet)[1]),Dkm,np.nan) + return CSFD(D_valid_range,planet) * Tscale(T,planet) + +def pf_dsfd(T,Dkm,planet): + """ + Return the differential size-frequency distribution for a particular production function model as a function of Time + + Parameters + ---------- + T : numpy array + Time in units of Ga + Dkm : numpy array + Diameters in units of km + pfmodel : string + The production function model to use + Currently options are 'NPF_Moon' or 'NPF_Mars' + + Returns + ------- + pf_dsfd : numpy array + The cumulative number of craters per square kilometer greater than Dkm in diameter at time T T + """ + D_valid_range = np.where((Dkm >= sfd_range.get(planet)[0]) & (Dkm <= sfd_range.get(planet)[1]), Dkm, np.nan) + return DSFD(D_valid_range, planet) * Tscale(T, planet) + +def T_from_scale(TS,planet): + """ + Return the time in Ga for the given number density of craters relative to that at 1 Ga. + This is the inverse of Tscale + + Parameters + ---------- + TS : numpy array + number density of craters relative to that at 1 Ga + pfmodel : string + The production function model to use + Currently options are 'NPF_Moon' or 'NPF_Mars' + + Returns + ------- + T_from_scale : numpy array + The time in Ga + """ + def func(S): + return Tscale(S,planet) - TS + return optimize.fsolve(func, np.full_like(TS,4.4),xtol=1e-10) + + +if __name__ == "__main__": + import matplotlib.pyplot as plt + import matplotlib.ticker as ticker + print("Tests go here") + print(f"T = 1 Ga, N(1) = {pf_csfd(1.0,1.00,'NPF_Moon')}") + print(f"T = 4.2 Ga, N(1) = {pf_csfd(4.2,1.00,'NPF_Moon')}") + print("Tscale test: Should return all 1s") + Ttest = np.logspace(-4,np.log10(4.4),num=100) + Tres = T_from_scale(Tscale(Ttest,'NPF_Mars'),'NPF_Mars') + print(Ttest / Tres) + #for i,t in enumerate(Ttest): + # print(t,Tscale(t,'Moon'),Tres[i]) + + CSFDfig = plt.figure(1, figsize=(8, 7)) + ax = {'NPF_Moon': CSFDfig.add_subplot(121), + 'NPF_Mars': CSFDfig.add_subplot(122)} + + tvals = [0.01,1.0,4.0] + x_min = 1e-3 + x_max = 1e3 + y_min = 1e-9 + y_max = 1e3 + Dvals = np.logspace(np.log10(x_min), np.log10(x_max)) + for key in ax: + ax[key].title.set_text(key) + ax[key].set_xscale('log') + ax[key].set_yscale('log') + ax[key].set_ylabel('$\mathregular{N_{>D} (km^{-2})}$') + ax[key].set_xlabel('Diameter (km)') + ax[key].set_xlim(x_min, x_max) + ax[key].set_ylim(y_min, y_max) + ax[key].yaxis.set_major_locator(ticker.LogLocator(base=10.0, numticks=20)) + ax[key].yaxis.set_minor_locator(ticker.LogLocator(base=10.0, subs=np.arange(2,10), numticks=100)) + ax[key].xaxis.set_major_locator(ticker.LogLocator(base=10.0, numticks=20)) + ax[key].xaxis.set_minor_locator(ticker.LogLocator(base=10.0, subs=np.arange(2,10), numticks=100)) + ax[key].grid(True,which="minor",ls="-",lw=0.5,zorder=5) + ax[key].grid(True,which="major",ls="-",lw=1,zorder=10) + for t in tvals: + prod = pf_csfd(t,Dvals,key) + ax[key].plot(Dvals, prod, '-', color='black', linewidth=1.0, zorder=50) + labeli = 15 + ax[key].text(Dvals[labeli],prod[labeli],f"{t:.2f} Ga", ha="left", va="top",rotation=-72) + + plt.tick_params(axis='y', which='minor') + plt.tight_layout() + plt.show() diff --git a/examples/morphology_test_cases/global/craterscale.dat b/examples/morphology_test_cases/global/craterscale.dat new file mode 100644 index 00000000..78415ecd --- /dev/null +++ b/examples/morphology_test_cases/global/craterscale.dat @@ -0,0 +1,1419 @@ +#Dimp(m) Dcrat(m) + 1.0000000000E-09 6.4817354382E-06 + 1.0200000000E-09 6.5831921800E-06 + 1.0404000000E-09 6.6862369950E-06 + 1.0612080000E-09 6.7908947409E-06 + 1.0824322000E-09 6.8971908643E-06 + 1.1040808000E-09 7.0051503915E-06 + 1.1261624000E-09 7.1147999178E-06 + 1.1486857000E-09 7.2261660925E-06 + 1.1716594000E-09 7.3392751246E-06 + 1.1950926000E-09 7.4541547473E-06 + 1.2189944000E-09 7.5708322358E-06 + 1.2433743000E-09 7.6893363549E-06 + 1.2682418000E-09 7.8096953943E-06 + 1.2936066000E-09 7.9319381385E-06 + 1.3194788000E-09 8.0560948119E-06 + 1.3458683000E-09 8.1821941861E-06 + 1.3727857000E-09 8.3102678814E-06 + 1.4002414000E-09 8.4403460497E-06 + 1.4282462000E-09 8.5724602286E-06 + 1.4568112000E-09 8.7066428409E-06 + 1.4859474000E-09 8.8429253067E-06 + 1.5156663000E-09 8.9813408518E-06 + 1.5459797000E-09 9.1219235411E-06 + 1.5768993000E-09 9.2647064160E-06 + 1.6084372000E-09 9.4097238080E-06 + 1.6406060000E-09 9.5570117660E-06 + 1.6734181000E-09 9.7066048333E-06 + 1.7068865000E-09 9.8585397009E-06 + 1.7410242000E-09 1.0012852454E-05 + 1.7758447000E-09 1.0169580827E-05 + 1.8113616000E-09 1.0328762380E-05 + 1.8475888000E-09 1.0490435386E-05 + 1.8845406000E-09 1.0654639262E-05 + 1.9222314000E-09 1.0821413215E-05 + 1.9606760000E-09 1.0990797563E-05 + 1.9998896000E-09 1.1162833708E-05 + 2.0398873000E-09 1.1337561935E-05 + 2.0806851000E-09 1.1515025767E-05 + 2.1222988000E-09 1.1695267147E-05 + 2.1647448000E-09 1.1878329906E-05 + 2.2080397000E-09 1.2064258007E-05 + 2.2522005000E-09 1.2253096395E-05 + 2.2972445000E-09 1.2444890549E-05 + 2.3431894000E-09 1.2639686886E-05 + 2.3900531000E-09 1.2837531901E-05 + 2.4378542000E-09 1.3038474257E-05 + 2.4866113000E-09 1.3242561814E-05 + 2.5363435000E-09 1.3449843720E-05 + 2.5870704000E-09 1.3660370382E-05 + 2.6388118000E-09 1.3874192200E-05 + 2.6915880000E-09 1.4091360795E-05 + 2.7454198000E-09 1.4311928979E-05 + 2.8003282000E-09 1.4535949506E-05 + 2.8563347000E-09 1.4763476286E-05 + 2.9134614000E-09 1.4994564761E-05 + 2.9717307000E-09 1.5229270663E-05 + 3.0311653000E-09 1.5467650003E-05 + 3.0917886000E-09 1.5709760659E-05 + 3.1536244000E-09 1.5955661138E-05 + 3.2166969000E-09 1.6205410563E-05 + 3.2810308000E-09 1.6459069048E-05 + 3.3466514000E-09 1.6716698062E-05 + 3.4135844000E-09 1.6978359623E-05 + 3.4818561000E-09 1.7244117052E-05 + 3.5514932000E-09 1.7514034175E-05 + 3.6225231000E-09 1.7788176457E-05 + 3.6949736000E-09 1.8066609816E-05 + 3.7688730000E-09 1.8349400991E-05 + 3.8442505000E-09 1.8636619043E-05 + 3.9211355000E-09 1.8928332646E-05 + 3.9995582000E-09 1.9224612359E-05 + 4.0795494000E-09 1.9525529826E-05 + 4.1611404000E-09 1.9831157377E-05 + 4.2443632000E-09 2.0141568754E-05 + 4.3292504000E-09 2.0456838703E-05 + 4.4158355000E-09 2.0777044059E-05 + 4.5041522000E-09 2.1102261121E-05 + 4.5942352000E-09 2.1432568588E-05 + 4.6861199000E-09 2.1768046409E-05 + 4.7798423000E-09 2.2108775390E-05 + 4.8754392000E-09 2.2454837891E-05 + 4.9729479000E-09 2.2806316713E-05 + 5.0724069000E-09 2.3163297583E-05 + 5.1738550000E-09 2.3525865887E-05 + 5.2773321000E-09 2.3894109504E-05 + 5.3828788000E-09 2.4268117337E-05 + 5.4905364000E-09 2.4647979287E-05 + 5.6003471000E-09 2.5033786924E-05 + 5.7123540000E-09 2.5425633449E-05 + 5.8266011000E-09 2.5823613651E-05 + 5.9431331000E-09 2.6227823177E-05 + 6.0619958000E-09 2.6638359885E-05 + 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7.0190209000E+04 8.2866379822E+05 + 7.3025894000E+04 8.6520023048E+05 + 7.5976140000E+04 9.0334757348E+05 + 7.9045576000E+04 9.4317686301E+05 + 8.2239017000E+04 9.8476225378E+05 + 8.5561473000E+04 1.0281811762E+06 diff --git a/examples/morphology_test_cases/global/ctem.in b/examples/morphology_test_cases/global/ctem.in index c8dc45fb..73cba610 100755 --- a/examples/morphology_test_cases/global/ctem.in +++ b/examples/morphology_test_cases/global/ctem.in @@ -3,7 +3,7 @@ ! Testing input. These are used to perform non-Monte Carlo tests. testflag F ! Set to T to create a single crater with user-defined impactor properties -testimp 15000.0 ! Diameter of test impactor (m) +testimp 161325.44633884882 ! Diameter of test impactor (m) testvel 18.3e3 ! Velocity of test crater (m/s) testang 45.0 ! Impact angle of test crater (deg) - Default 90.0 testxoffset 0.0 ! x-axis offset of crater center from grid center (m) - Default 0.0 @@ -13,8 +13,8 @@ testtally F ! IDL driver in uts -interval 6.28 -numintervals 100 ! Total number of intervals (total time = interval * numintervals) <--when runtype is 'single' +interval 0.628 +numintervals 1000 ! Total number of intervals (total time = interval * numintervals) <--when runtype is 'single' restart F ! Restart a previous run impfile NPFextrap.dat ! Impactor SFD rate file (col 1: Dimp (m), col 2: ! impactors > D (m**(-2) y**(-1)) popupconsole F ! Pop up console window every output interval @@ -67,6 +67,9 @@ Kd1 0.0001 psi 2.000 fe 4.00 ejecta_truncation 10.0 +doregotrack F dorays F superdomain F dorealistic T +quasimc T +realcraterlist craterlist.in ! list of 'real' craters for Quasi-MC runs diff --git a/examples/morphology_test_cases/global/ctem_driver.py b/examples/morphology_test_cases/global/ctem_driver.py index bcab88ec..897be89e 100755 --- a/examples/morphology_test_cases/global/ctem_driver.py +++ b/examples/morphology_test_cases/global/ctem_driver.py @@ -8,14 +8,18 @@ #August 2016 #Import general purpose modules + import numpy import os import subprocess import shutil +import pandas +from scipy.interpolate import interp1d #Import CTEM modules import ctem_io_readers import ctem_io_writers +import craterproduction #craterproduction had to be cp'd to example dir #Create and initialize data dictionaries for parameters and options from CTEM.in notset = '-NOTSET-' @@ -49,7 +53,9 @@ 'datfile': 'ctem.dat', 'impfile': notset, 'sfdcompare': notset, - 'sfdfile': notset} + 'sfdfile': notset, + 'quasimc': notset, + 'realcraterlist': notset} #Read ctem.in to initialize parameter values based on user input ctem_io_readers.read_ctemin(parameters,notset) @@ -71,6 +77,51 @@ impfile = parameters['workingdir'] + parameters['impfile'] prodfunction = ctem_io_readers.read_formatted_ascii(impfile, skip_lines = 0) +if (parameters['quasimc'] == 'T'): + + #Read list of real craters + print("quasi-MC mode is ON") + craterlistfile = parameters['workingdir'] + parameters['realcraterlist'] + rclist = ctem_io_readers.read_formatted_ascii(craterlistfile, skip_lines = 0) + + #Interpolate craterscale.dat to get impactor sizes from crater sizes given + df = pandas.read_csv('craterscale.dat', sep='\s+') + df['log(Dc)'] = numpy.log(df['Dcrat(m)']) + df['log(Di)'] = numpy.log(df['#Dimp(m)']) + xnew = df['log(Dc)'].values + ynew = df['log(Di)'].values + interp = interp1d(xnew, ynew, fill_value='extrapolate') + rclist[:,0] = numpy.exp(interp(numpy.log(rclist[:,0]))) + + #Convert latitude and longitude to y- and x-offset + for lat in range(0, len(rclist[:,3])): + if numpy.abs(rclist[lat,3]) > 90.0: + print("non-physical latitude on line %i of craterlist.in. Please enter a value between -90 and 90 degrees." %(lat+1)) + quit() + else: + rclist[lat,3] = rclist[lat,3] * ((parameters['pix'] * (parameters['gridsize']/2)) / 90.0) + + for lon in range(0, len(rclist[:,4])): + if numpy.abs(rclist[lon,4]) > 360.0: + print("Non-physical longitude on line %i of craterlist.in. Please enter a value between -360 and 360 degrees." %(lon+1)) + quit() + else: + if rclist[lon,4] < -180.0: + rclist[lon,4] = 360.0 - numpy.abs(rclist[lon,4]) + elif rclist[lon,4] > 180.0: + rclist[lon,4] = -(360.0 - rclist[lon,4]) + else: + rclist[lon,4] = rclist[lon,4] + + rclist[:,4] = rclist[:,4] * ((parameters['pix'] * (parameters['gridsize']/2)) / 180.0) + + #Convert age in Ga to "interval time" + rclist[:,5] = (parameters['interval'] * parameters['numintervals']) - craterproduction.Tscale(rclist[:,5], 'NPF_Moon') + rclist = rclist[rclist[:,5].argsort()] + + #Export to dat file for Fortran use + ctem_io_writers.write_realcraters(parameters, rclist) + #Create impactor production population area = (parameters['gridsize'] * parameters['pix'])**2 production = numpy.copy(prodfunction) diff --git a/examples/morphology_test_cases/global/ctem_io_readers.py b/examples/morphology_test_cases/global/ctem_io_readers.py index a58ba9ab..c825fdc9 100644 --- a/examples/morphology_test_cases/global/ctem_io_readers.py +++ b/examples/morphology_test_cases/global/ctem_io_readers.py @@ -42,6 +42,8 @@ def read_ctemin(parameters,notset): if ('savetruelist' == fields[0].lower()): parameters['savetruelist']=fields[1] if ('runtype' == fields[0].lower()): parameters['runtype']=fields[1] if ('restart' == fields[0].lower()): parameters['restart']=fields[1] + if ('quasimc' == fields[0].lower()): parameters['quasimc']=fields[1] + if ('realcraterlist' == fields[0].lower()): parameters['realcraterlist']=fields[1] if ('shadedminh' == fields[0].lower()): parameters['shadedminh'] = float(fields[1]) parameters['shadedminhdefault'] = 0 diff --git a/examples/morphology_test_cases/global/ctem_io_writers.py b/examples/morphology_test_cases/global/ctem_io_writers.py index 5d591d9a..e7a2192c 100644 --- a/examples/morphology_test_cases/global/ctem_io_writers.py +++ b/examples/morphology_test_cases/global/ctem_io_writers.py @@ -271,4 +271,12 @@ def create_rplot(parameters,odist,pdist,tdist,ph1): matplotlib.pyplot.savefig(filename) + return + +def write_realcraters(parameters, realcraters): + """writes file of real craters for use in quasi-MC runs""" + + filename = parameters['workingdir'] + 'craterlist.dat' + numpy.savetxt(filename, realcraters, fmt='%1.8e', delimiter='\t') + return \ No newline at end of file diff --git a/idl/lunar-MBA-impactor-velocities.dat b/examples/morphology_test_cases/global/lunar-MBA-impactor-velocities.dat old mode 100644 new mode 100755 similarity index 90% rename from idl/lunar-MBA-impactor-velocities.dat rename to examples/morphology_test_cases/global/lunar-MBA-impactor-velocities.dat index 3c8dd594..b56ce090 --- a/idl/lunar-MBA-impactor-velocities.dat +++ b/examples/morphology_test_cases/global/lunar-MBA-impactor-velocities.dat @@ -1,9 +1,3 @@ -0 0.000000 0.000000 -1000 0.000000 0.000000 -2000 0.000000 0.000000 -3000 0.000000 0.000000 -4000 0.000000 0.000000 -5000 0.000000 0.000000 6000 41.000000 0.002861 7000 200.000000 0.016817 8000 541.000000 0.054567 @@ -68,5 +62,3 @@ 67000 0.000000 0.999930 68000 0.000000 0.999930 69000 1.000000 1.000000 -70000 0.000000 1.000000 - diff --git a/examples/morphology_test_cases/global/runjob b/examples/morphology_test_cases/global/runjob deleted file mode 100755 index 121d4be4..00000000 --- a/examples/morphology_test_cases/global/runjob +++ /dev/null @@ -1,14 +0,0 @@ -#!/bin/sh -l -#PBS -q daminton -#PBS -l walltime=48:00:00 -#PBS -l nodes=1:ppn=6,naccesspolicy=singleuser -#PBS -N globaltest -#PBS -j oe -source /etc/profile -module load intel -module load idl -cd $PBS_O_WORKDIR -export OMP_NUM_THREADS=6 -date > time.out -idl < start.in > term.out -date >> time.out diff --git a/examples/morphology_test_cases/complex/savestate/console/.gitignore b/examples/morphology_test_cases/simple/.gitignore similarity index 100% rename from examples/morphology_test_cases/complex/savestate/console/.gitignore rename to examples/morphology_test_cases/simple/.gitignore diff --git a/examples/regolith-transport-run-example/cleanup b/examples/regolith-transport-run-example/cleanup deleted file mode 100755 index 43b86768..00000000 --- a/examples/regolith-transport-run-example/cleanup +++ /dev/null @@ -1,33 +0,0 @@ -#!/bin/bash -rm console/console*.* -rm surf/surf*.* -rm rego/rego*.* -rm shaded/shaded*.* -rm dist/odist*.dat -rm dist/tdist*.dat -rm dist/pdist*.dat -rm dist/ocum*.dat -rm dist/tcum*.dat -rm misc/mass*.dat -rm misc/ctem*.dat -rm presentation/presentation*.jpg -rm surface_*.dat -rm odistribution.dat -rm pdistribution.dat -rm tdistribution.dat -rm tcumulative.dat -rm ocumulative.dat -rm craterscale.dat -rm ctem.dat -rm fracdone.dat -rm production.dat -rm ejecta_table_max.dat -rm ejecta_table_min.dat -rm impactmass.dat -rm frames/* -rm regolithdepth.dat -rm avgkdiff.dat -rm *.o* -rm term.out -rm time.out -rm testprofile.dat diff --git a/examples/regolith-transport-run-example/ctem.in b/examples/regolith-transport-run-example/ctem.in deleted file mode 100644 index 165c1877..00000000 --- a/examples/regolith-transport-run-example/ctem.in +++ /dev/null @@ -1,81 +0,0 @@ -! CTEM Input file: Compatible with v. 1.1 - -! IDL driver in uts -interval 1.00e7 ! Time interval between outputs (y) -numintervals 400 ! Total number of intervals -restart F ! Restart a previous run -impfile MintonLunarProduction.dat ! Impactor SFD rate file (col 1: Dimp (m), col 2: ! impactors > D (m**(-2) y**(-1)) -popupconsole T ! Pop up console window every output interval -saveshaded T ! Output shaded relief images -saverego T ! Output regolith map images -savepres T ! Output simplified console display images (presentation-compatible images) -savetruelist T ! Save the true cumulative crater distribution for each interval (large file size) -sfdcompare SinusMedii-data-binned.dat ! File name for the SFD comparison file used in the console display -shadedminh -85.0 ! Minimum height for shaded relief map (m) (Default - automatic) -shadedmaxh 85.0 ! Maximum height for shaded relief map (m) (Default - automatic) -tallystart 10 ! Initial value of the tally cadence -runtype single ! Run type: options are normal / statistical - ! single: craters accumulate in successive intervals - ! statistical: surface is reset between intervals - -! CTEM required inputs -seed 9234568 ! Random number generator seed -gridsize 2000 ! Size of grid in pixels -numlayers 10 ! Number of perched layers -pix 3.6e0 ! Pixel size (m) -mat rock ! Material (rock or ice) -! Bedrock scaling parameters -mu_b 0.41d0 ! Experimentally derived parameter for bedrock crater scaling law -kv_b 0.24d0 ! Experimentally derived parameter for bedrock crater scaling law -trho_b 2250.0d0 ! Target density (bedrock) (kg/m**3) -ybar_b 0.18d6 ! Bedrock strength (Pa) -! Regolith scaling parameters -mu_r 0.41d0 ! Experimentally derived parameter for regolith crater scaling law -kv_r 0.24d0 ! Experimentally derived parameter for regolith crater scaling law -trho_r 1500.0d0 ! Target density (regolith) (kg/m**3) -ybar_r 0.00d6 ! Regolith strength (Pa) -! Body parameters -gaccel 1.62d0 ! Gravitational acceleration at target (m/s**2) -trad 1737.35d3 ! Target radius (m) -prho 2500.0d0 ! Projectile density (kg/m**3) -sfdfile production.dat ! Impactor SFD file (col 1: Dimp (m), col 2: ! impactors > D -velfile lunar-MBA-impactor-velocities.dat ! Impactor velocity dist file - -! Seismic shaking input (required if seismic shaking is set to T, otherwise ignored) -doseismic F ! Perform seismic shaking calculations with each impact - Default F -seisq 2000.0d0 ! Seimsic energy attenuation quality factor, Q - ! Value taken from Richardson et al. (2005) - -tvel 100.d0 ! Target p-wave speed (m/s) - ! Value taken from Watkins and Kovach (1973) LPSC - -tfrac 2000.d0 ! Mean free path for seismic wave scattering in target (m) - ! Value taken from Dainty et al. (1974) The Moon v. 9 p. 11 - -regcoh 520.d0 ! Regolith layer cohesion (Pa) - ! Value taken from Colwell et al. (2007) Rev. of Geophys. v. 45 p. RG2006 - ! For upper 0-60 cm - -neff 5.0d-10 ! Impact energy seismic efficiency factor - - -! Optional input. These have internally set default values that work reasonable well. Comment them out with -countingmodel Fassett ! Crater counter model. Default is by Caleb Fassett. -deplimit 10d3 ! Depth limit for craters (m) - Default is to ignore. -maxcrat 1.00d0 ! Fraction of gridsize that maximum crater can be - Default 1.0 -killatmaxcrater F ! Stop the run if a crater larger than the maximum is produced - Default F -basinimp 35.0d3 ! Size of impactor to switch to lunar basin scaling law - Default is to ignore -docollapse T ! Do slope collapse - Default T -dosoftening T ! Do ejecta softening - Default T -doangle T ! Vary the impact angle. Set to F to have only vertical impacts - Default T - -! Testing input. These are used to perform non-Monte Carlo tests. -testflag F ! Set to T to create a single crater with user-defined impactor properties -testimp 50.0 ! Diameter of test impactor (m) -testvel 15.d3 ! Velocity of test crater (m/s) -testang 90.0 ! Impact angle of test crater (deg) - Default 90.0 -testxoffset 0.0d0 ! x-axis offset of crater center from grid center (m) - Default 0.0 -testyoffset 0.0d0 ! y-axis offset of crater center from grid center (m) - Default 0.0 -tallyonly F ! Tally the craters without generating any craters -testtally F ! Set to T to count all non-cookie cut craters, regardless of score - diff --git a/examples/regolith-transport-run-example/start.in b/examples/regolith-transport-run-example/start.in deleted file mode 100644 index eb1e22d6..00000000 --- a/examples/regolith-transport-run-example/start.in +++ /dev/null @@ -1 +0,0 @@ -ctem_driver diff --git a/idl/CTEM b/idl/CTEM deleted file mode 120000 index 4e9df72b..00000000 --- a/idl/CTEM +++ /dev/null @@ -1 +0,0 @@ -../build/src/CTEM \ No newline at end of file diff --git a/idl/MintonLunarProduction.dat b/idl/MintonLunarProduction.dat deleted file mode 100644 index 9d012c83..00000000 --- a/idl/MintonLunarProduction.dat +++ /dev/null @@ -1,2002 +0,0 @@ - 1.00374475610749648E-003 1.58657448584866244E-007 - 1.01388359202777417E-003 1.54798480262698668E-007 - 1.02412484043209518E-003 1.51033372244905812E-007 - 1.03446953578999515E-003 1.47359841600924053E-007 - 1.04491872302019703E-003 1.43775660927092133E-007 - 1.05547345759615858E-003 1.40278656996090157E-007 - 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9.9019935058135609 2.1732142424215801E-002 24.207999999999998 - 13.240198856349600 5.6639270366641098E-002 43.661999999999999 - 18.473639828486853 4.4794827628773327E-002 18.719500000000004 - 26.240939323747931 6.3170608314923285E-002 12.853999999999999 - 37.136303750105533 5.6739961798065119E-002 5.7484999999999999 - 52.454513658084622 6.5618414323169352E-002 3.3485000000000000 - 74.082467444506321 6.1582444299167122E-002 1.5839999999999996 - 104.91951768544476 0.24484396281680731 3.1110000000000007 - 148.83514920410198 0.18954604847061096 1.1915000000000000 - 211.07569366107344 0.21604883542599213 0.67399999999999993 - 275.56035058338097 0.10951887181194947 0.22300000000000000 - 411.51784112286401 3.4530523145415257E-002 3.1000000000000000E-002 - 570.80477875068004 1.9757043671309208E-002 1.0000000000000000E-002 - 840.89641525371451 0.0000000000000000 0.0000000000000000 diff --git a/python/ctem.in b/python/ctem.in deleted file mode 100644 index e5814ea6..00000000 --- a/python/ctem.in +++ /dev/null @@ -1,83 +0,0 @@ -! CTEM Input file: Compatible with v. 1.1 - -! IDL driver in uts -interval 1.00e7 ! Time interval between outputs (y) -numintervals 400 ! Total number of intervals -restart F ! Restart a previous run -impfile MintonLunarProduction.dat ! Impactor SFD rate file (col 1: Dimp (m), col 2: ! impactors > D (m**(-2) y**(-1)) -popupconsole T ! Pop up console window every output interval -saveshaded T ! Output shaded relief images -saverego T ! Output regolith map images -savepres T ! Output simplified console display images (presentation-compatible images) -savetruelist T ! Save the true cumulative crater distribution for each interval (large file size) -sfdcompare SinusMedii-data-binned.dat ! File name for the SFD comparison file used in the console display -shadedminh -85.0 ! Minimum height for shaded relief map (m) (Default - automatic) -shadedmaxh 85.0 ! Maximum height for shaded relief map (m) (Default - automatic) -tallystart 10 ! Initial value of the tally cadence -runtype single ! Run type: options are normal / statistical - ! single: craters accumulate in successive intervals - ! statistical: surface is reset between intervals - -! CTEM required inputs -seed 9234568 ! Random number generator seed -gridsize 1000 ! Size of grid in pixels -numlayers 10 ! Number of perched layers -pix 3.6e0 ! Pixel size (m) -mat rock ! Material (rock or ice) -! Bedrock scaling parameters -mu_b 0.41d0 ! Experimentally derived parameter for bedrock crater scaling law -kv_b 0.24d0 ! Experimentally derived parameter for bedrock crater scaling law -trho_b 2250.0d0 ! Target density (bedrock) (kg/m**3) -ybar_b 0.18d6 ! Bedrock strength (Pa) -! Regolith scaling parameters -mu_r 0.41d0 ! Experimentally derived parameter for regolith crater scaling law -kv_r 0.24d0 ! Experimentally derived parameter for regolith crater scaling law -trho_r 1500.0d0 ! Target density (regolith) (kg/m**3) -ybar_r 0.00d6 ! Regolith strength (Pa) -! Body parameters -gaccel 1.62d0 ! Gravitational acceleration at target (m/s**2) -trad 1737.35d3 ! Target radius (m) -prho 2500.0d0 ! Projectile density (kg/m**3) -sfdfile production.dat ! Impactor SFD file (col 1: Dimp (m), col 2: ! impactors > D -velfile lunar-MBA-impactor-velocities.dat ! Impactor velocity dist file - -! Seismic shaking input (required if seismic shaking is set to T, otherwise ignored) -doseismic F ! Perform seismic shaking calculations with each impact - Default F -seisq 2000.0d0 ! Seimsic energy attenuation quality factor, Q - ! Value taken from Richardson et al. (2005) - -tvel 100.d0 ! Target p-wave speed (m/s) - ! Value taken from Watkins and Kovach (1973) LPSC - -tfrac 2000.d0 ! Mean free path for seismic wave scattering in target (m) - ! Value taken from Dainty et al. (1974) The Moon v. 9 p. 11 - -regcoh 520.d0 ! Regolith layer cohesion (Pa) - ! Value taken from Colwell et al. (2007) Rev. of Geophys. v. 45 p. RG2006 - ! For upper 0-60 cm - -neff 5.0d-10 ! Impact energy seismic efficiency factor - - -! Optional input. These have internally set default values that work reasonable well. Comment them out with -countingmodel Fassett ! Crater counter model. Default is by Caleb Fassett. -deplimit 10d3 ! Depth limit for craters (m) - Default is to ignore. -maxcrat 1.00e0 ! Fraction of gridsize that maximum crater can be - Default 1.0 -killatmaxcrater F ! Stop the run if a crater larger than the maximum is produced - Default F -basinimp 35.0d3 ! Size of impactor to switch to lunar basin scaling law - Default is to ignore -docollapse T ! Do slope collapse - Default T -dosoftening T ! Do ejecta softening - Default T -doangle T ! Vary the impact angle. Set to F to have only vertical impacts - Default T - -! Testing input. These are used to perform non-Monte Carlo tests. -testflag F ! Set to T to create a single crater with user-defined impactor properties -testimp 10.0 ! Diameter of test impactor (m) -testvel 15.d3 ! Velocity of test crater (m/s) -testang 90.0 ! Impact angle of test crater (deg) - Default 90.0 -testxoffset 0.0d0 ! x-axis offset of crater center from grid center (m) - Default 0.0 -testyoffset 0.0d0 ! y-axis offset of crater center from grid center (m) - Default 0.0 -tallyonly F ! Tally the craters without generating any craters -testtally F ! Set to T to count all non-cookie cut craters, regardless of score - -! Porosity input -porosityflg F ! Porosity on/off flg. Set to F to turn the model off. Default F. \ No newline at end of file diff --git a/src/Makefile.am b/src/Makefile.am index d06a79d3..90ac9873 100755 --- a/src/Makefile.am +++ b/src/Makefile.am @@ -1,9 +1,13 @@ bin_PROGRAMS = CTEM #ifort optimized flags -#AM_FCFLAGS = -O3 -qopenmp -parallel -xHost -assume byterecl -m64 -heap-arrays -FR -#AM_FCFLAGS = -g -traceback -O3 -qopenmp -parallel -assume byterecl -m64 -heap-arrays -FR +SIMDVEC = -simd -xhost -align all -assume contiguous_assumed_shape -vecabi=cmdtarget -fp-model no-except -fma +PAR = -qopenmp -parallel +HEAPARR = -heap-arrays +OPTREPORT = -qopt-report=5 +IPRODUCTION = -g -traceback -no-wrap-margin -assume byterecl -O3 -qopt-prefetch=0 -sox $(PAR) $(SIMDVEC) $(HEAPARR) +IDEBUG = -O0 -g -traceback -debug all -nogen-interfaces -assume byterecl -m64 -heap-arrays -FR -no-pie -no-ftz -fpe-all=0 -mp1 -fp-model strict -fpe0 -align all -pad -ip -prec-div -prec-sqrt -assume protect-parens -CB -no-wrap-margin -init=snan,arrays +AM_FCFLAGS = $(IPRODUCTION) #ifort debug flags -AM_FCFLAGS = -O0 -p -g -debug all -traceback -CB -assume byterecl -m64 -heap-arrays -FR #gfortran optimized flags #AM_FCFLAGS = -O3 -fopenmp -ffree-form -g -fbounds-check -fbacktrace @@ -40,9 +44,9 @@ util/util_perlin_noise.f90\ io/io_read_const.f90\ io/io_get_token.f90\ io/io_input.f90\ +io/io_read_craterlist.f90\ io/io_read_prod.f90\ io/io_read_regotrack.f90\ -io/io_read_porotrack.f90\ io/io_read_vdist.f90\ io/io_read_surf.f90\ io/io_ejecta_table.f90\ @@ -51,11 +55,13 @@ io/io_write_tally.f90\ io/io_write_surf.f90\ io/io_write_const.f90\ io/io_write_regotrack.f90\ -io/io_write_porotrack.f90\ io/io_crater_profile.f90\ io/io_updatePbar.f90\ io/io_resetPbar.f90\ io/io_splash.f90\ +io/io_write_age.f90\ +io/io_write_pindex_map.f90\ +io/io_write_age_depth.f90\ ejecta/ejecta_emplace.f90\ ejecta/ejecta_ray_pattern.f90\ ejecta/ejecta_blanket.f90\ @@ -75,23 +81,24 @@ crater/crater_emplace.f90\ crater/crater_realistic_topography.f90\ crater/crater_form_interior.f90\ crater/crater_form_exterior.f90\ +crater/crater_form_exterior_func.f90\ +crater/crater_form_exterior_rootfind.f90\ crater/crater_record.f90\ crater/crater_tally_true.f90\ crater/crater_tally_observed.f90\ crater/crater_slope_collapse.f90\ crater/crater_soften.f90\ -crater/crater_soften_accumulate.f90\ crater/crater_subpixel_diffusion.f90\ crater/crater_make_list.f90\ crater/crater_degradation_function.f90\ crater/crater_visibility.f90\ crater/crater_get_degradation_state.f90\ crater/crater_profile.f90\ +crater/crater_superdomain.f90\ init/init_domain.f90\ init/init_dist.f90\ init/init_surf.f90\ init/init_regolith_stack.f90\ -init/init_porosity_stack.f90\ seismic/seismic_shake.f90\ seismic/seismic_distance.f90\ seismic/seismic_kdiff_func.f90\ @@ -111,6 +118,12 @@ regolith/regolith_subpixel_streamtube.f90\ regolith/regolith_transport.f90\ regolith/regolith_traverse_streamtube.f90\ regolith/regolith_subcrater_mix.f90\ +regolith/regolith_melt_glass.f90\ +regolith/regolith_superdomain.f90\ +regolith/regolith_melt_zone_superdomain.f90\ +regolith/regolith_streamtube_volume_func.f90\ +regolith/regolith_shock_damage_zone.f90\ +regolith/regolith_shock_damage.f90\ porosity/porosity_form_interior.f90\ realistic/realistic_perlin_noise.f90\ main/CTEM.f90 diff --git a/src/crater/crater_dimensions.f90 b/src/crater/crater_dimensions.f90 index 9d909215..f32b10eb 100644 --- a/src/crater/crater_dimensions.f90 +++ b/src/crater/crater_dimensions.f90 @@ -51,7 +51,7 @@ subroutine crater_dimensions(user,crater,domain) crater%rimheight = 0.236_DP * (crater%fcrat * 1e-3_DP)**(0.399_DP) * 1e3_DP !* crater%fcrat crater%rimwidth = 0.467_DP * (crater%fcrat * 1e-3_DP)**(0.836_DP) * 1e3_DP !* crater%fcrat crater%floordepth = 1.044_DP * (crater%fcrat * 1e-3_DP)**(0.301_DP) * 1e3_DP !* crater%fcrat - crater%floordiam = 0.187_DP * (crater%fcrat * 1e-3_DP)**(1.249_DP) * 1e3_DP !* crater%fcrat + crater%floordiam = min(0.187_DP * (crater%fcrat * 1e-3_DP)**(1.249_DP) * 1e3_DP, 0.9_DP * crater%fcrat) !* crater%fcrat crater%peakheight = 0.032_DP * (crater%fcrat * 1e-3_DP)**(0.900_DP) * 1e3_DP !* crater%fcrat end select diff --git a/src/crater/crater_generate.f90 b/src/crater/crater_generate.f90 index cc6b9a23..037d3e77 100644 --- a/src/crater/crater_generate.f90 +++ b/src/crater/crater_generate.f90 @@ -39,12 +39,15 @@ subroutine crater_generate(user,crater,domain,prod,production_list,vdist,surf) integer(I4B) :: k,khi,klo,Nk integer(I8B) :: random_index,numremaining,nabove,nabovep1 - !TESTING FOR VARIABLE FE MODERL - real(DP) :: mfe,bfe - - ! Get all six random numbers we need in one call - if (.not.domain%initialize) call random_number(rn) + if (.not.domain%initialize) then + ! Initialize the random number generator with the current value of the seeds + call random_seed(put=crater%seedarr) + call random_number(rn) + ! Save the current value of the seeds for the next time we need a new crater. This ensures we can get a repeatable population population of craters, + ! regardless of whether other procedures that use the random number generator are used or not + call random_seed(get=crater%seedarr) + end if ! Find crater center position if (domain%initialize) then diff --git a/src/crater/crater_populate.f90 b/src/crater/crater_populate.f90 index 051d8b01..d9985848 100644 --- a/src/crater/crater_populate.f90 +++ b/src/crater/crater_populate.f90 @@ -18,7 +18,7 @@ ! !********************************************************************************************************************************** subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,ntrue,vistrue,ntotkilled,truelist,mass, & - fracdone,nflux,ntotcrat,curyear) + fracdone,nflux,ntotcrat,curyear,rclist) use module_globals use module_seismic use module_io @@ -30,7 +30,7 @@ subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,nt implicit none ! Arguments - type(usertype),intent(in) :: user + type(usertype),intent(inout) :: user type(surftype),dimension(:,:),intent(inout) :: surf type(cratertype),intent(inout) :: crater type(domaintype),intent(inout) :: domain @@ -45,6 +45,7 @@ subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,nt real(DP),dimension(:,:),intent(in) :: nflux integer(I8B),intent(in) :: ntotcrat ! Total number of attempted impacts real(DP),intent(in) :: curyear + real(DP),dimension(:,:), intent(in) :: rclist !array of 'real' craters for quasiMC ! Internal variables real(DP) :: cmin ! Minimum crater diameter (m) @@ -59,6 +60,7 @@ subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,nt real(DP) :: rhpmin = -1.0_DP ! Smallest rim height to diameter ratio real(DP) :: ddmax ! Maximum depth/diameter real(DP) :: ddmin ! Maximum depth/diameter + real(DP) :: timestamp_old integer(I8B) :: icrater ! Loop counters integer(I4B) :: nkilled ! Number of craters killed in a tally step integer(I4B) :: onum ! Number of craters observed in a tally step @@ -73,7 +75,6 @@ subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,nt real(DP) :: ejbmass logical :: makecrater real(DP),dimension(user%gridsize,user%gridsize) :: kdiff - TARGET :: surf integer(I4B) :: oldpbarpos real(DP),dimension(:,:),allocatable :: ejecta_dem real(DP) :: hmax, hmin @@ -81,10 +82,16 @@ subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,nt ! ejecta blanket array type(ejbtype),dimension(EJBTABSIZE) :: ejb ! Ejecta blanket lookup table integer(I4B) :: ejtble - ! doregotrack - real(DP) :: melt, clock!, volume, r1, r2, h + ! subpixel utilities real(DP),dimension(2,domain%pnum) :: p - integer(I4B) :: craters_since_subpixel_mix, icrater_last_subpixel_mix + integer(I4B) :: craters_since_subpixel_mix, icrater_last_subpixel_mix + + ! doregotrack & age simulation test + real(DP) :: melt, clock, age, thick + real(SP),dimension(user%gridsize, user%gridsize) :: agetop + real(SP),dimension(60) :: agetot + type(regolisttype),pointer :: current => null() + real(DP) :: age_resolution if (user%testflag) then write(*,*) "Generating a test crater" @@ -100,6 +107,12 @@ subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,nt write(*,*) "Maximum crater diameter: ",domain%biggest_crater end if + ! read initial quasi-MC position + if (user%doquasimc) then + rccount = 1 + user%rctime = rclist(6,rccount) + end if + ! create crater population cmin = domain%biggest_crater @@ -123,7 +136,12 @@ subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,nt icrater_last_tally = 0 icrater_last_subpixel = 0 icrater = 0 + ! Reset age clock = 0.0_DP + finterval = 1.0_DP / real(ntotcrat,kind=DP) + age = user%interval + age_resolution = age / real(MAXAGEBINS) + ! Reset coverage map domain%tallycoverage = 0 domain%subpixelcoverage = 0 @@ -133,22 +151,50 @@ subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,nt oldpbarpos = 0 do while (icrater < ntotcrat) makecrater = .true. + timestamp_old = real(curyear + real(icrater,kind=DP) / real(ntotcrat,kind=DP) * user%interval,kind=SP) icrater = icrater + 1 + crater%timestamp = real(curyear + real(icrater,kind=DP) / real(ntotcrat,kind=DP) * user%interval,kind=SP) pbarpos = nint(real(icrater) / real(ntotcrat) * PBARRES) + !if in quasiMC mode: check to see if it's time for a real crater + if (user%doquasimc) then + if ((user%rctime > timestamp_old) .and. (user%rctime < crater%timestamp)) then + write(*,*) "Real crater at ", crater%timestamp + user%testflag = .true. + user%testimp = rclist(1, rccount) + user%testvel = rclist(2, rccount) + user%testang = rclist(3, rccount) + user%testxoffset = rclist(5, rccount) !x-offset is longitude + user%testyoffset = rclist(4, rccount) !y-offset is latitude + end if + end if ! generate random crater call crater_generate(user,crater,domain,prod,production_list,vdist,surf) if (user%testflag) write(*,*) 'Dcrat = ',crater%fcrat if (user%testflag) write(*,*) 'Dtrans = ',crater%rad*2 if (crater%fcrat > domain%biggest_crater) then ! End the run if the crater is too big - if (user%killatmaxcrater) then - fracdone = real(icrater,kind=DP) / real(ntotcrat,kind=DP) - write(*,*) - write(*,'("Ended run at ",F7.2,"% due to crater of size: ",ES13.4)') fracdone * 100,crater%fcrat - exit - else - makecrater = .false. ! Ignore this big crater + if ( user%testflag .eqv. .false. ) then + if (user%killatmaxcrater) then + fracdone = real(icrater,kind=DP) / real(ntotcrat,kind=DP) + write(*,*) + write(*,'("Ended run at ",F7.2,"% due to crater of size: ",ES13.4)') fracdone * 100,crater%fcrat + exit + else + makecrater = .false. ! Ignore this big crater + end if end if end if + if (user%doquasimc) then + if (crater%timestamp > user%rctime) then + user%testflag = .false. + rccount = rccount + 1 + if (rccount > domain%rcnum) then + write(*,*) "Real crater list complete." + user%rctime = 1e30 + else + user%rctime = rclist(6,rccount) + end if + end if + end if if (crater%fcrat > 0.8_DP * domain%side) then surf%ejcov = 0.0_DP surf%dem = 0.0_DP @@ -164,7 +210,6 @@ subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,nt if (makecrater) then ! Stamp the current time onto the crater - crater%timestamp = real(curyear + real(icrater,kind=DP) / real(ntotcrat,kind=DP) * user%interval,kind=SP) ! Find the visible crater parameters call crater_dimensions(user,crater,domain) @@ -211,7 +256,7 @@ subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,nt call ejecta_table_define(user,crater,domain,ejb,ejtble) call ejecta_interpolate(crater,domain,crater%frad,ejb(1:ejtble),ejtble,crater%ejrim) end if - call ejecta_emplace(user,surf,crater,domain,ejb(1:ejtble),ejtble,ejbmass,ejecta_dem) + call ejecta_emplace(user,surf,crater,domain,ejb(1:ejtble),ejtble,ejbmass,age,age_resolution,ejecta_dem) else ejtble = 0 end if @@ -262,8 +307,10 @@ subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,nt end if ! Do sub-pixel craters vertical mixing + ! Do superdomain ray deposits + finterval = 1.0_DP / real(ntotcrat,kind=DP) if (user%doregotrack) then - finterval = 1.0_DP / real(ntotcrat,kind=DP) + call crater_superdomain(user,surf,age,age_resolution,prod,nflux,domain,finterval) call regolith_depth_model(user,domain,finterval,nflux,p) call regolith_subcrater_mix(user,surf,domain,nflux,finterval,p) end if @@ -293,7 +340,6 @@ subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,nt ntotkilled = ntotkilled + nkilled nsincetally = 0 end if - end if hmax = maxval(surf(:,:)%dem) @@ -304,6 +350,7 @@ subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,nt end if end do ! end crater production loop + call move_alloc(truelist, tmptruelist) allocate(truelist(TRUECOLS,ntrue)) truelist(:,1:ntrue) = tmptruelist(:,1:ntrue) diff --git a/src/crater/crater_profile.f90 b/src/crater/crater_profile.f90 index ce033da3..3723d081 100644 --- a/src/crater/crater_profile.f90 +++ b/src/crater/crater_profile.f90 @@ -47,7 +47,7 @@ function crater_profile(user,crater,r) result(h) if (r < flrad) then h = -crater%floordepth - else if (r > 1.0_DP) then + else if (r >= 1.0_DP) then h = crater%rimheight * (r**(-RIMDROP)) else h = c0 + c1 * r + c2 * r**2 + c3 * r**3 diff --git a/src/crater/crater_realistic_topography.f90 b/src/crater/crater_realistic_topography.f90 index 30767a5f..6a185a26 100644 --- a/src/crater/crater_realistic_topography.f90 +++ b/src/crater/crater_realistic_topography.f90 @@ -96,11 +96,11 @@ subroutine ejecta_texture(user,surf,crater,deltaMtot,inc,ejecta_dem) real(DP),dimension(-inc:inc,-inc:inc),intent(inout) :: ejecta_dem end subroutine ejecta_texture - subroutine crater_realistic_slope_texture(user,critical,inc,critarray) + subroutine crater_realistic_slope_texture(user,critical_value,inc,critarray) use module_globals implicit none type(usertype),intent(in) :: user - real(DP),intent(in) :: critical + real(DP),intent(in) :: critical_value integer(I4B),intent(in) :: inc real(DP),dimension(-inc:inc,-inc:inc),intent(out) :: critarray end subroutine crater_realistic_slope_texture @@ -108,24 +108,27 @@ end subroutine crater_realistic_slope_texture end interface - ! Executable code - - if (crater%morphtype .eq. 'COMPLEX') then + deltaMtot = 0.0_DP + select case(crater%morphtype) + case("COMPLEX","PEAKRING","MULTIRING") call complex_terrace(user,surf,crater,deltaMtot) call complex_wall_texture(user,surf,crater,domain,deltaMtot) call complex_floor(user,surf,crater,deltaMtot) call complex_peak(user,surf,crater,deltaMtot) - end if + end select ! Retrieve the size of the ejecta dem and correct for indexing inc = (size(ejecta_dem,1) - 1) / 2 call ejecta_texture(user,surf,crater,deltaMtot,inc,ejecta_dem) - if ((crater%morphtype .eq. 'COMPLEX').and.(user%docollapse)) then - ! Do a final pass of the slope collapse with a shallower slope than normal to smooth out all of the sharp edges - call crater_slope_collapse(user,surf,crater,domain,(complex_collapse_slope * user%pix)**2,deltaMtot) - end if + ! Do a final pass of the slope collapse with a shallower slope than normal to smooth out all of the sharp edges + if (user%docollapse) then + select case(crater%morphtype) + case("COMPLEX","PEAKRING","MULTIRING") + call crater_slope_collapse(user,surf,crater,domain,(complex_collapse_slope * user%pix)**2,deltaMtot) + end select + end if return end subroutine crater_realistic_topography @@ -170,6 +173,7 @@ subroutine complex_peak(user,surf,crater,deltaMtot) !FWHM = 0.3_DP !Lansberg a = crater%peakheight b = 0.003_DP * ((1e-3_DP * crater%fcrat)**(1.75_DP)) / (1e-3_DP * crater%fcrat) ! Make peak rings for sufficiently large craters + b = min(b, 0.5_DP) c = FWHM / (2 * sqrt(2 * log(2._DP))) !********************* @@ -181,13 +185,13 @@ subroutine complex_peak(user,surf,crater,deltaMtot) xpi = crater%xlpx + i ypi = crater%ylpx + j + xbar = xpi * user%pix - crater%xl + ybar = ypi * user%pix - crater%yl + ! periodic boundary conditions call util_periodic(xpi,ypi,user%gridsize) newdem = surf(xpi,ypi)%dem - xbar = xpi * user%pix - crater%xl - ybar = ypi * user%pix - crater%yl - areafrac = util_area_intersection(0.5_DP * crater%floordiam,xbar,ybar,user%pix) r = sqrt(xbar**2 + ybar**2) / crater%frad @@ -252,13 +256,13 @@ subroutine complex_floor(user,surf,crater,deltaMtot) xpi = crater%xlpx + i ypi = crater%ylpx + j + xbar = xpi * user%pix - crater%xl + ybar = ypi * user%pix - crater%yl + ! periodic boundary conditions call util_periodic(xpi,ypi,user%gridsize) newdem = surf(xpi,ypi)%dem - xbar = xpi * user%pix - crater%xl - ybar = ypi * user%pix - crater%yl - areafrac = util_area_intersection(0.5_DP * crater%floordiam,xbar,ybar,user%pix) ! Make the floor topographically "noisy" @@ -313,11 +317,12 @@ subroutine complex_wall_texture(user,surf,crater,domain,deltaMtot) real(DP), parameter :: noise_height = 7.0e-3_DP ! Spatial "size" of noise features at the first octave real(DP), parameter :: freq = 2.0_DP ! Spatial size scale factor multiplier at each octave level real(DP), parameter :: pers = 1.20_DP ! The relative size scaling at each octave level + real(DP), parameter :: outer_wall_size = 2.1_DP !Executable code call random_number(rn) - inc = max(min(nint(2.1_DP * crater%frad / user%pix),PBCLIM*user%gridsize),1) + 1 + inc = max(min(nint(outer_wall_size * crater%frad / user%pix),PBCLIM*user%gridsize),1) + 1 crater%maxinc = max(crater%maxinc,inc) flr = crater%floordiam / crater%fcrat @@ -327,17 +332,17 @@ subroutine complex_wall_texture(user,surf,crater,domain,deltaMtot) xpi = crater%xlpx + i ypi = crater%ylpx + j + xbar = xpi * user%pix - crater%xl + ybar = ypi * user%pix - crater%yl + ! periodic boundary conditions call util_periodic(xpi,ypi,user%gridsize) newdem = surf(xpi,ypi)%dem - xbar = xpi * user%pix - crater%xl - ybar = ypi * user%pix - crater%yl - r = sqrt(xbar**2 + ybar**2) / crater%frad areafrac = 1.0 - util_area_intersection(0.3_DP * crater%floordiam,xbar,ybar,user%pix) - areafrac = areafrac * util_area_intersection(2.1_DP * crater%frad,xbar,ybar,user%pix) + areafrac = areafrac * util_area_intersection(outer_wall_size * crater%frad,xbar,ybar,user%pix) areafrac = areafrac * min((r / flr)**12,1.0_DP) ! Smooth out interface between wall and floor areafrac = areafrac * max(min(2._DP - r,1.0_DP),0.0_DP) ! Smooth out region outside of the rim @@ -349,7 +354,8 @@ subroutine complex_wall_texture(user,surf,crater,domain,deltaMtot) noise = noise + util_perlin_noise(xynoise * xbar + offset * rn(1), & xynoise * ybar + offset * rn(2))* znoise end do - newdem = max(newdem + noise * areafrac,crater%melev - crater%floordepth) + newdem = newdem + noise * areafrac + if (r < flr) newdem = max(newdem,crater%melev - crater%floordepth) if (r > 1.1_DP) newdem = max(newdem,newdem + areafrac * crater%ejrim * r**(-3)) elchange = newdem - surf(xpi,ypi)%dem @@ -426,7 +432,6 @@ subroutine complex_terrace(user,surf,crater,deltaMtot) pers_tfloor = 0.5_DP xy_size_tfloor = 5.0_DP / crater%fcrat - ! Lansberg values !terracefac = 1.0_DP !nterraces = 16 @@ -435,10 +440,6 @@ subroutine complex_terrace(user,surf,crater,deltaMtot) !scallop_width = 0.10_DP !^^^^^^^^^^^^^^^ - - - - rad = 2.0_DP * crater%frad upshift = 0._DP @@ -455,13 +456,13 @@ subroutine complex_terrace(user,surf,crater,deltaMtot) xpi = crater%xlpx + i ypi = crater%ylpx + j + xbar = xpi * user%pix - crater%xl + ybar = ypi * user%pix - crater%yl + ! periodic boundary conditions call util_periodic(xpi,ypi,user%gridsize) newdem = surf(xpi,ypi)%dem - xbar = xpi * user%pix - crater%xl - ybar = ypi * user%pix - crater%yl - r = sqrt(xbar**2 + ybar**2) / crater%frad ! Make scalloped terraces @@ -481,10 +482,8 @@ subroutine complex_terrace(user,surf,crater,deltaMtot) xynoise * ybar + offset * rn(2))* znoise end do - isterrace = 1.0_DP - noise < hprof - tprof = crater_profile(user,crater,rinner) * (r/rinner)**2 + tnoise ! This is the floor profile that replaces the old one at each terrace if (isterrace) then @@ -508,13 +507,13 @@ subroutine complex_terrace(user,surf,crater,deltaMtot) xpi = crater%xlpx + i ypi = crater%ylpx + j + xbar = xpi * user%pix - crater%xl + ybar = ypi * user%pix - crater%yl + ! periodic boundary conditions call util_periodic(xpi,ypi,user%gridsize) newdem = surf(xpi,ypi)%dem - xbar = xpi * user%pix - crater%xl - ybar = ypi * user%pix - crater%yl - r = sqrt(xbar**2 + ybar**2) / crater%frad ! Make scalloped rim @@ -554,13 +553,13 @@ subroutine complex_terrace(user,surf,crater,deltaMtot) xpi = crater%xlpx + i ypi = crater%ylpx + j + xbar = xpi * user%pix - crater%xl + ybar = ypi * user%pix - crater%yl + ! periodic boundary conditions call util_periodic(xpi,ypi,user%gridsize) newdem = surf(xpi,ypi)%dem - xbar = xpi * user%pix - crater%xl - ybar = ypi * user%pix - crater%yl - r = sqrt(xbar**2 + ybar**2) / crater%frad if (r > flr) then @@ -672,15 +671,14 @@ subroutine ejecta_texture(user,surf,crater,deltaMtot,inc,ejecta_dem) ! Add the base texture to the ejecta proportional to the thickness - do j = -inc,inc do i = -inc,inc xpi = indarray(1,i,j) ypi = indarray(2,i,j) - xbar = xpi * user%pix - crater%xl - ybar = ypi * user%pix - crater%yl + xbar = (crater%xlpx + i) * user%pix - crater%xl + ybar = (crater%ylpx + j) * user%pix - crater%yl r = sqrt(xbar**2 + ybar**2) / crater%frad phi = atan2(ybar,xbar) @@ -694,9 +692,7 @@ subroutine ejecta_texture(user,surf,crater,deltaMtot,inc,ejecta_dem) areafrac = areafrac * (1.0_DP - max(min(2._DP - r,1.0_DP),0.0_DP)) ! Blend in with the wall texture - ! Make the splat pattern - splatnoise = 0.0_DP do octave = 1,nsplat_octaves xysplat = (nsplats / PI) * freq ** (octave -1) / crater%fcrat @@ -748,7 +744,7 @@ subroutine ejecta_texture(user,surf,crater,deltaMtot,inc,ejecta_dem) end subroutine ejecta_texture -subroutine crater_realistic_slope_texture(user,critical,inc,critarray) +subroutine crater_realistic_slope_texture(user,critical_value,inc,critarray) ! Adds noise to the critical slope to give texture to regions that undergo slope collapse use module_globals use module_util @@ -757,7 +753,7 @@ subroutine crater_realistic_slope_texture(user,critical,inc,critarray) ! Arguments type(usertype),intent(in) :: user - real(DP),intent(in) :: critical + real(DP),intent(in) :: critical_value integer(I4B),intent(in) :: inc real(DP),dimension(-inc:inc,-inc:inc),intent(out) :: critarray @@ -792,8 +788,8 @@ subroutine crater_realistic_slope_texture(user,critical,inc,critarray) noise = noise + util_perlin_noise(xynoise * xbar + offset * rn(1), & xynoise * ybar + offset * rn(2)) * znoise end do - !write(*,*) i,j,noise - critarray(i,j) = max(critical * (1.0_DP + noise),0.0_DP) + + critarray(i,j) = max(critical_value * (1.0_DP + noise),0.0_DP) end do end do diff --git a/src/crater/crater_superdomain.f90 b/src/crater/crater_superdomain.f90 new file mode 100644 index 00000000..a153bdea --- /dev/null +++ b/src/crater/crater_superdomain.f90 @@ -0,0 +1,190 @@ +!********************************************************************************************************************************** +! +! Unit Name : crater_superdomain +! Unit Type : subroutine +! Project : CTEM +! Language : Fortran 2003 +! +! Description : Softens the terrain under the ejecta using a box filter model where the size of the box is proportional to the +! thickness of the ejecta +! +! +! Input +! Arguments : +! +! Output +! Arguments : +! +! +! Notes : +! +!********************************************************************************************************************************** +subroutine crater_superdomain(user,surf,age,age_resolution,prod,nflux,domain,finterval) + use module_globals + use module_util + use module_ejecta + use module_regolith + use module_crater, EXCEPT_THIS_ONE => crater_superdomain + implicit none + + ! Arguments + type(usertype),intent(in) :: user + type(surftype),dimension(:,:),intent(inout) :: surf + real(DP),intent(in) :: age + real(DP),intent(in) :: age_resolution + real(DP),dimension(:,:),intent(in) :: prod,nflux + type(domaintype),intent(in) :: domain + real(DP),intent(in) :: finterval + + ! Internal variables + integer(I4B),dimension(2,0:user%gridsize + 1,0:user%gridsize + 1) :: indarray + integer(I4B) :: i,j,k,l,m,xpi,ypi,n,ntot,ioerr,inc,xi,xf,yi,yf + real(DP) :: lamleft,dburial,lambda,diam,radius,Area,avgejc,sf + real(DP),dimension(domain%pnum) :: dN + real(DP),dimension(2) :: rn + real(DP) :: superlen,rayfrac + type(cratertype) :: crater + real(DP),dimension(:,:),allocatable :: ejdistribution, diffdistribution + integer(I4B),dimension(:,:),allocatable :: ejisray + + ! Melt or glassy ray test + real(DP) :: xp, yp, lradsq, lrad, erad + real(DP),dimension(4) :: lradif + real(DP) :: rm, depthb, maxgcrat, maxgcratkm + real(SP) :: gglass, glrad + + ! Create box for soften calculation (will be no bigger than the grid itself) + do j = 0,user%gridsize + 1 + do i = 0,user%gridsize + 1 + xpi = i + ypi = j + call util_periodic(xpi,ypi,user%gridsize) + indarray(1,i,j) = xpi + indarray(2,i,j) = ypi + end do + end do + + ! calculate the smallest crater size for a crater forming in regolith + do i = 1,domain%pnum + if ((nflux(1,i) > domain%smallest_crater).and.(nflux(2,i) > domain%smallest_crater)) exit + ntot = i + end do + n = ntot + avgejc = sum(surf%ejcov) / user%gridsize**2 + maxgcrat = 0.0_DP + do l = 1,domain%pnum + if ((PI * (user%fe * nflux(1,l) * 0.5_DP)**2 <= (user%gridsize)**2 ).and.& + (PI * (user%fe * nflux(2,l) * 0.5_DP)**2 <= (user%gridsize)**2 )) cycle + + dburial = EXFAC * 0.5_DP * nflux(1,n) + if (avgejc > dburial) then + radius = nflux(2,l) * 0.5_DP + else + radius = nflux(1,l) * 0.5_DP + end if + + dN(l) = nflux(3,l) * user%interval * finterval + Area = min(PI * (user%fe * radius)**2 , 4 * PI * user%trad**2) + Area = max(Area - (user%pix * user%gridsize)**2,0.0_DP) + if (Area == 0.0_DP) cycle + ! Center at the local domain, and calculate the maximum distance from the super + ! domain crater to the local domain. + superlen = 0.5_DP * (sqrt(Area) - user%pix * user%gridsize) + if (superlen < 0.0_DP) cycle + + lambda = dN(l) * Area + if (lambda == 0.0_DP) cycle + k = util_poisson(lambda) + maxgcratkm = 0.0 + do m = 1, k + + ! generate random crater on the superdomain + ! Set up size of crater and ejecta blanket + crater%frad = radius + crater%rad = radius + crater%continuous = 2.348_DP * crater%frad**(1.006_DP) + crater%ejdis = DISEJB * crater%continuous + inc = nint(min(crater%ejdis / user%pix, crater%frad * DISEJB / user%pix)) + 1 + + ! find the x and y position of the crater + ! When a superdomain crater's center is at the edge of a space that + ! superlen defines, it has least ejecta delivering to the local domain. + ! fe should be the maximum ray extennt (beyond visible rays) + ! to account for cold and hot ejecta. + ! Note for age data: new stream lines overlapped with melts needs to + ! calculate here, and one can check out regolith_streamtube: lines 251 - 292. + call random_number(rn) + crater%xl = real(superlen * (2 * rn(1) - 1.0_DP), kind=SP) + crater%yl = real(superlen * (2 * rn(2) - 1.0_DP), kind=SP) + + ! Superdoamin crater can be from any of four quardants that is space defined by + ! superlen. + if (crater%xl > 0.0_SP) then + crater%xl = crater%xl + user%pix * user%gridsize + else + crater%xl = crater%xl - user%pix * user%gridsize + end if + if (crater%yl > 0.0_SP) then + crater%yl = crater%yl + user%pix * user%gridsize + else + crater%yl = crater%yl - user%pix * user%gridsize + end if + + crater%xlpx = nint(crater%xl / user%pix) + crater%ylpx = nint(crater%yl / user%pix) + + ! Define the pixel space in the local domain coordinate. + xi = 1 - crater%xlpx + xf = user%gridsize - crater%xlpx + yi = 1 - crater%ylpx + yf = user%gridsize - crater%ylpx + + lradif(1) = sqrt( (xi * user%pix) **2 + (yi * user%pix)**2 ) + lradif(2) = sqrt( (xi * user%pix) **2 + (yf * user%pix)**2 ) + lradif(3) = sqrt( (xf * user%pix) **2 + (yi * user%pix)**2 ) + lradif(4) = sqrt( (xf * user%pix) **2 + (yf * user%pix)**2 ) + lrad = minval(lradif) + if (lrad > crater%ejdis) cycle + + allocate(ejdistribution(xi:xf,yi:yf)) + allocate(diffdistribution(xi:xf,yi:yf)) + allocate(ejisray(xi:xf,yi:yf)) + ! Now generate ray pattern + call ejecta_ray_pattern(user,surf,crater,inc,xi,xf,yi,yf,diffdistribution,ejdistribution) + ! Now if doregotrack is on, do melt zone calculation + if (user%doregotrack) call regolith_melt_zone_superdomain(user,crater,domain,rm,depthb) + + do j = yi,yf + do i = xi,xf + ! Ejecta ray distribution + if (ejdistribution(i,j) > 0.0001_DP) then + ejisray(i,j) = 1 + else + ejisray(i,j) = 0 + end if + end do + end do + + if (user%doregotrack) then + do j = 1, user%gridsize + do i = 1, user%gridsize + xpi = i - crater%xlpx + ypi = j - crater%ylpx + if ((abs(xpi) > inc) .or. (abs(ypi) > inc)) cycle + if (ejisray(xpi,ypi) == 0) cycle + call regolith_superdomain(user,crater,domain,surf(i,j)%regolayer,ejdistribution(xpi,ypi),& + i,j,age,age_resolution,rm,depthb) + end do + end do + + end if + + deallocate(ejdistribution,diffdistribution,ejisray) + + end do + + end do + + return +end subroutine crater_superdomain + diff --git a/src/crater/module_crater.f90 b/src/crater/module_crater.f90 index 15915099..b946c25b 100644 --- a/src/crater/module_crater.f90 +++ b/src/crater/module_crater.f90 @@ -30,7 +30,7 @@ end subroutine crater_mass_conservation interface subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,ntrue,vistrue,ntotkilled,truelist,& - mass,fracdone,nflux,ntotcrat,curyear) + mass,fracdone,nflux,ntotcrat,curyear,rclist) use module_globals implicit none type(usertype),intent(in) :: user @@ -48,6 +48,7 @@ subroutine crater_populate(user,surf,crater,domain,prod,production_list,vdist,nt real(DP),dimension(:,:),intent(in) :: nflux integer(I8B),intent(in) :: ntotcrat real(DP),intent(in) :: curyear + real(DP),dimension(:,:), intent(in) :: rclist !array of 'real' craters for quasiMC end subroutine crater_populate end interface @@ -208,14 +209,14 @@ end subroutine crater_tally_observed end interface interface - subroutine crater_slope_collapse(user,surf,crater,domain,critical,deltaMtot) + subroutine crater_slope_collapse(user,surf,crater,domain,critical_value,deltaMtot) use module_globals implicit none type(usertype),intent(in) :: user type(surftype),dimension(:,:),intent(inout) :: surf type(cratertype),intent(inout) :: crater type(domaintype),intent(in) :: domain - real(DP),intent(in) :: critical + real(DP),intent(in) :: critical_value real(DP),intent(inout) :: deltaMtot end subroutine crater_slope_collapse end interface @@ -325,4 +326,17 @@ function crater_profile_find_r_inner_wall(user,crater) result(r_inner_wall) end function crater_profile_find_r_inner_wall end interface + interface + subroutine crater_superdomain(user,surf,age,age_resolution,prod,nflux,domain,finterval) + use module_globals + type(usertype),intent(in) :: user + type(surftype),dimension(:,:),intent(inout) :: surf + real(DP),intent(in) :: age + real(DP),intent(in) :: age_resolution + real(DP),dimension(:,:),intent(in) :: prod,nflux + type(domaintype),intent(in) :: domain + real(DP),intent(in) :: finterval + end subroutine crater_superdomain + end interface + end module diff --git a/src/ejecta/ejecta_emplace.f90 b/src/ejecta/ejecta_emplace.f90 index 06505757..68dfd2bd 100644 --- a/src/ejecta/ejecta_emplace.f90 +++ b/src/ejecta/ejecta_emplace.f90 @@ -75,7 +75,7 @@ ! The cutoff of ejecta thickness is still buggy. ! !********************************************************************************************************************************** -subroutine ejecta_emplace(user,surf,crater,domain,ejb,ejtble,deltaMtot,cumulative_elchange) +subroutine ejecta_emplace(user,surf,crater,domain,ejb,ejtble,deltaMtot,age,age_resolution,cumulative_elchange) use module_globals use module_util use module_io @@ -92,6 +92,8 @@ subroutine ejecta_emplace(user,surf,crater,domain,ejb,ejtble,deltaMtot,cumulativ integer(I4B),intent(in) :: ejtble type(ejbtype),dimension(:),intent(inout) :: ejb real(DP),intent(in) :: deltaMtot + real(DP),intent(in) :: age + real(DP),intent(in) :: age_resolution real(DP),dimension(:,:),allocatable,intent(out) :: cumulative_elchange ! Internal variables @@ -118,9 +120,13 @@ subroutine ejecta_emplace(user,surf,crater,domain,ejb,ejtble,deltaMtot,cumulativ real(DP) :: vsq, ejtheta integer(I4B) :: ind,klo + ! Age + real(SP) :: age_mean + + ! Executable code - !call regolith_melt_zone(user,crater,crater%imp,crater%impvel,rm,dm) + if (user%doregotrack) call regolith_melt_zone(user,crater,crater%imp,crater%impvel,rm,dm) crater%vdepth = crater%ejrim + crater%floordepth crater%vrim = crater%ejrim + crater%rimheight @@ -263,9 +269,9 @@ subroutine ejecta_emplace(user,surf,crater,domain,ejb,ejtble,deltaMtot,cumulativ end if - !if (user%doregotrack .and. ebh>1.0e-8_DP) then - ! call regolith_streamtube(user,surf,crater,domain,ejb,ejtble,xp,yp,xpi,ypi,lrad,ebh,rm) - !end if + if (user%doregotrack .and. ebh>1.0e-8_DP) then + call regolith_streamtube(user,surf,crater,domain,ejb,ejtble,xp,yp,xpi,ypi,lrad,ebh,rm,vsq,age,age_resolution) + end if end do diff --git a/src/ejecta/ejecta_soften.f90 b/src/ejecta/ejecta_soften.f90 index f26f7d2c..847e566b 100644 --- a/src/ejecta/ejecta_soften.f90 +++ b/src/ejecta/ejecta_soften.f90 @@ -27,7 +27,7 @@ subroutine ejecta_soften(user,surf,N,indarray,cumulative_elchange) ! Arguments type(usertype),intent(in) :: user - type(surftype),dimension(:,:),intent(in) :: surf + type(surftype),dimension(:,:),intent(inout) :: surf integer(I4B),intent(in) :: N integer(I4B),dimension(2,N,N),intent(in) :: indarray real(DP),dimension(N,N),intent(inout) :: cumulative_elchange diff --git a/src/ejecta/module_ejecta.f90 b/src/ejecta/module_ejecta.f90 index f3339322..de3e5c3a 100644 --- a/src/ejecta/module_ejecta.f90 +++ b/src/ejecta/module_ejecta.f90 @@ -25,7 +25,7 @@ module module_ejecta save interface - subroutine ejecta_emplace(user,surf,crater,domain,ejb,ejtble,deltaMtot,cumulative_elchange) + subroutine ejecta_emplace(user,surf,crater,domain,ejb,ejtble,deltaMtot,age,age_resolution,cumulative_elchange) use module_globals implicit none type(usertype),intent(in) :: user @@ -35,6 +35,8 @@ subroutine ejecta_emplace(user,surf,crater,domain,ejb,ejtble,deltaMtot,cumulativ integer(I4B),intent(in) :: ejtble type(ejbtype),dimension(:),intent(inout) :: ejb real(DP),intent(in) :: deltaMtot + real(DP),intent(in) :: age + real(DP),intent(in) :: age_resolution real(DP),dimension(:,:),allocatable,intent(inout) :: cumulative_elchange end subroutine ejecta_emplace end interface diff --git a/src/globals/module_globals.f90 b/src/globals/module_globals.f90 index d21d1748..2d7a70e5 100644 --- a/src/globals/module_globals.f90 +++ b/src/globals/module_globals.f90 @@ -55,13 +55,16 @@ module module_globals real(DP),parameter :: SUBPIXELCOVERAGE = 0.025_DP ! The total area coverage to reach before a subpixel evaluate step is executed: 0.05_DP real(DP),parameter :: COOKIESIZE = 3.0_DP ! Relative size of old crater to new crater that cookie cutting is applied ! Only craters smaller than COOKIESIZE times the new crater are cookie cut +integer(I2B),parameter :: MAXAGEBINS=60 ! Maximum number of bins in age distribution reset by impact melting real(DP),parameter :: ALPHA = 0.125_DP real(DP),parameter :: DISEJB = 100.0_DP ! The extent of discontinuous ejecta in the unit of crater radii. It is used in ejecta_table_define.f90 real(DP),parameter :: RCONT = 2.25267_DP ! Coefficient of continuous ejecta size power law from Moore et al. (1974) - scaled from km to m -real(DP),parameter :: EXPCONT = 1.006_DP ! Exponentt of continuous ejecta size power law from Moore et al. (1974) - +real(DP),parameter :: EXPCONT = 1.006_DP ! Exponent of continuous ejecta size power law from Moore et al. (1974) +real(DP),parameter :: PF = 5.0e9 ! The shock pressure exceeding the hungoit elastic limit of common geological materials in Pa. (5 GPa) +real(DP),parameter :: RAD_GP = 20.0_DP ! The maximum radial position of producing impact glass spherules within a transient crater (unit of crater radii, crater%rad) type regodatatype + real(SP),dimension(MAXAGEBINS) :: age real(DP) :: thickness real(DP) :: meltfrac real(DP) :: comp @@ -121,6 +124,7 @@ module module_globals real(DP) :: floordepth real(DP) :: floordiam real(DP) :: peakheight + integer(I4B),dimension(:),allocatable :: seedarr ! Random number generator seed array end type cratertype ! Derived data type for domain variables (sizes and dimensions) @@ -146,11 +150,13 @@ module module_globals real(DP) :: ejbres ! Ejecta blanket lookup table resolution integer(I4B) :: pnum ! size of production function array integer(I4B) :: vnum ! size of velocity distribution array + integer(I4B) :: rcnum ! size of real crater list array for quasi-MC real(DP) :: vescsq ! Escape velocity at target integer(I4B) :: vlo ! Index of lowest valid velocity in the velocity distribution file integer(I4B) :: vhi ! Index of highest valid velocity in the velocity distribution file integer(I4B) :: tallycoverage ! Estimated areal coverage of craters since the last tally integer(I4B) :: subpixelcoverage ! Estimated areal coverage of craters since the last subpixel step + real(DP) :: rmsvel ! Root mean square impact velocity end type domaintype ! Derived data type for user input variables @@ -177,13 +183,14 @@ module module_globals real(DP) :: seisk,cohaccel ! seismic keff, cohesion breaking acceleration ! Optional input variables - logical :: docollapse ! Set T to use the slope collapse model (turning off speeds up the code for testing) - logical :: doangle ! Set to F to only do vertical impacts, otherwise do range of angles (default is T) - logical :: doporosity ! Porosity on/off flg. Set to F to turn the model off. Default F. - real(DP) :: basinimp ! Impactor size to switch to multiring basin - real(DP) :: maxcrat ! fraction that maximum crater can be relative to grid - real(DP) :: deplimit ! complex crater depth limit logical :: dorealistic ! Set to T to enable realistic crater morphology. Default is F. + logical :: docollapse ! Set T to use the slope collapse model (turning off speeds up the code for testing) + logical :: doangle ! Set to F to only do vertical impacts, otherwise do range of angles (default is T) + logical :: doporosity ! Porosity on/off flg. Set to F to turn the model off. Default F. + logical :: doquasimc ! set to T for quasi-MC run. Default F. + real(DP) :: basinimp ! Impactor size to switch to multiring basin + real(DP) :: maxcrat ! fraction that maximum crater can be relative to grid + real(DP) :: deplimit ! complex crater depth limit ! Seismic input variables logical :: doseismic ! Set to T if you want to do the seismic shaking model @@ -224,6 +231,7 @@ module module_globals real(DP) :: testyoffset ! Offset of test crater from center in y direction (m) logical :: tallyonly ! Only run the tally routine (don't generate any new craters) logical :: testtally ! Set to T to count all non-cookie cut craters, regardless of score + real(DP) :: rctime ! time (in interval units) for emplacement of quasi-MC crater ! IDL driver variables character(STRMAX) :: impfile ! Name of impactor size distribution file (impacts per m^2 per y) @@ -240,8 +248,7 @@ module module_globals real(DP) :: shadedminh ! Minimum height for shaded relief map (m) real(DP) :: shadedmaxh ! Maximum height for shaded relief map (m) character(STRMAX) :: sfdcompare ! Type of run: 0 for normal, 1 for statistical (domain is reset between intervals) - - + character(STRMAX) :: realcraterlist ! This is only included here so the terminal doesn't return "Unknown parameter" end type usertype ! Derived data type for the ejecta blanket table elements @@ -272,6 +279,7 @@ module module_globals character(*),parameter :: MELTFILE = 'surface_melt.dat' character(*),parameter :: COMPFILE = 'surface_comp.dat' character(*),parameter :: STACKNUMFILE = 'surface_stacknum.dat' +character(*),parameter :: AGEFILE = 'surface_age.dat' character(*),parameter :: STACKPORFILE = 'porosity_stacknum.dat' character(*),parameter :: POROFILE = 'porosity_porosity.dat' character(*),parameter :: DEPTHFILE = 'porosity_depth.dat' @@ -286,6 +294,7 @@ module module_globals character(*),parameter :: CRTSCLFILE = 'craterscale.dat' character(*),parameter :: DATFILE = 'ctem.dat' character(*),parameter :: MASSFILE = 'impactmass.dat' +character(*),parameter :: RCFILE = 'craterlist.dat' !not sure if this is where this line should go, but putting it here for now... ! Global variables integer(I4B),parameter :: PBCLIM = 1 ! periodic boundary condition limit @@ -338,4 +347,7 @@ module module_globals integer(I4B),parameter :: rayq = 4 real(DP),parameter :: rayfmult = (5)**(-4.0_DP / (1.2_DP)) +! quasi-MC test variables +integer(I4B) :: rccount !start line to be read for quasi-MC (should be 0) + end module module_globals diff --git a/src/init/init_dist.f90 b/src/init/init_dist.f90 index cbc0af67..9863587c 100644 --- a/src/init/init_dist.f90 +++ b/src/init/init_dist.f90 @@ -69,6 +69,27 @@ subroutine init_dist(user,domain) end if close(LUN) + ! Get size of real crater list array + if (user%doquasimc) then + open(unit=LUN,file=rcfile,status="old",iostat=ierr) + if (ierr /= 0) then + write(*,*) "Unable to open file ", trim(rcfile) + stop + end if + + domain%rcnum = 0 + do + read(LUN,*,iostat=ierr) testreal,testreal,testreal,testreal,testreal,testreal + if (ierr/=0) exit + domain%rcnum = domain%rcnum + 1 + end do + + if (domain%rcnum == 0) then + write(*,*) "No valid entries in ",trim(rcfile) + end if + close(LUN) + end if + return end subroutine init_dist diff --git a/src/init/init_domain.f90 b/src/init/init_domain.f90 index fa6b3cfe..a1010f28 100644 --- a/src/init/init_domain.f90 +++ b/src/init/init_domain.f90 @@ -30,7 +30,7 @@ subroutine init_domain(user,crater,domain,prod,pdist,vdist,crtscl,nflux) real(DP),dimension(:,:),intent(inout) :: prod,vdist real(DP),dimension(:,:),intent(out) :: crtscl real(DP),dimension(:,:),intent(out),allocatable :: pdist - real(DP),dimension(:,:),intent(out) :: nflux + real(DP),dimension(:,:),intent(out) :: nflux ! Internals integer(I4B),parameter :: tistfac=100 ! Temporary storage array for crater tally is 100x larger than the displayed bin size @@ -95,6 +95,7 @@ subroutine init_domain(user,crater,domain,prod,pdist,vdist,crtscl,nflux) end do domain%vhi = min(domain%vhi + 1,domain%vnum) rmsvel = sqrt(rmsvel/numvel) + domain%rmsvel = rmsvel domain%smallest_impactor_index = 1 ! Find the smallest impactor that produces a crater at least 1 pixel wide at the maximum possible impact velocity and angle diff --git a/src/init/init_regolith_stack.f90 b/src/init/init_regolith_stack.f90 index d020e9bb..b9fd331e 100644 --- a/src/init/init_regolith_stack.f90 +++ b/src/init/init_regolith_stack.f90 @@ -28,11 +28,14 @@ subroutine init_regolith_stack(user,surf) type(usertype),intent(in) :: user type(surftype),dimension(:,:),intent(inout) :: surf type(regodatatype) :: bedrock - integer(I4B) :: xp,yp + integer(I4B) :: xp,yp,k ! Internal variables logical :: initstat + ! Temporary variable setup for initialize a pre-exising structure + type(regodatatype) :: test_stratig + !call init_regolith_parab(user,surf) !======================================= ! Initialize the grid space @@ -40,6 +43,7 @@ subroutine init_regolith_stack(user,surf) bedrock%thickness = user%trad bedrock%meltfrac = 0._DP bedrock%comp = 0._DP + bedrock%age(:) = 0.0_SP do yp = 1, user%gridsize do xp = 1, user%gridsize diff --git a/src/init/init_surf.f90 b/src/init/init_surf.f90 index 838f799f..8a0609f7 100644 --- a/src/init/init_surf.f90 +++ b/src/init/init_surf.f90 @@ -38,9 +38,6 @@ subroutine init_surf(user,surf) !if (user%docrustal_thinning) surf%mantle = 0._DP if (user%doregotrack) call init_regolith_stack(user,surf) - - ! If doporosity, call init_porosity_stack to define the porolayer linked list. - if (user%doporosity) call init_porosity_stack(user,surf) return -end subroutine init_surf + end subroutine init_surf diff --git a/src/init/module_init.f90 b/src/init/module_init.f90 index e37cb1c7..e93da2f6 100644 --- a/src/init/module_init.f90 +++ b/src/init/module_init.f90 @@ -37,12 +37,13 @@ end subroutine init_dist subroutine init_domain(user,crater,domain,prod,pdist,vdist,crtscl,nflux) use module_globals implicit none - type(usertype),intent(in) :: user - type(cratertype),intent(inout) :: crater - type(domaintype),intent(inout) :: domain - real(DP),dimension(:,:),intent(inout) :: prod,vdist - real(DP),dimension(:,:),intent(out) :: pdist,crtscl - real(DP),dimension(:,:),intent(out) :: nflux + type(usertype),intent(inout) :: user + type(cratertype),intent(inout) :: crater + type(domaintype),intent(inout) :: domain + real(DP),dimension(:,:),intent(inout) :: prod,vdist + real(DP),dimension(:,:),intent(out) :: crtscl + real(DP),dimension(:,:),intent(out),allocatable :: pdist + real(DP),dimension(:,:),intent(out) :: nflux end subroutine init_domain end interface @@ -55,13 +56,4 @@ subroutine init_regolith_stack(user,surf) end subroutine init_regolith_stack end interface - interface - subroutine init_porosity_stack(user,surf) - use module_globals - implicit none - type(usertype),intent(in) :: user - type(surftype),dimension(:,:),intent(inout) :: surf - end subroutine init_porosity_stack - end interface - end module module_init diff --git a/src/io/io_input.f90 b/src/io/io_input.f90 index b090134b..57995ed7 100644 --- a/src/io/io_input.f90 +++ b/src/io/io_input.f90 @@ -91,8 +91,9 @@ subroutine io_input(infile,user) user%psi2 = 1.25_DP user%rbreak = 0.1e3_DP user%fe = 5.0_DP - user%ejecta_truncation = 5.0_DP user%dorealistic = .false. + user%doquasimc = .false. + user%ejecta_truncation = 10.0_DP open(unit=LUN,file=infile,status="old",iostat=ierr) if (ierr /= 0) then @@ -254,6 +255,11 @@ subroutine io_input(infile,user) call io_get_token(line, ilength, ifirst, ilast, ierr) token = line(ifirst:ilast) read(token, *) user%docollapse + case ("QUASIMC") + ifirst = ilast + 1 + call io_get_token(line, ilength, ifirst, ilast, ierr) + token = line(ifirst:ilast) + read(token, *) user%doquasimc case ("TESTXOFFSET") ifirst = ilast + 1 call io_get_token(line, ilength, ifirst, ilast, ierr) @@ -429,6 +435,11 @@ subroutine io_input(infile,user) call io_get_token(line, ilength, ifirst, ilast, ierr) token = line(ifirst:ilast) read(token, *) user%sfdcompare + case ("REALCRATERLIST") + ifirst = ilast + 1 + call io_get_token(line, ilength, ifirst, ilast, ierr) + token = line(ifirst:ilast) + read(token, *) user%realcraterlist case ("SHADEDMINH") ifirst = ilast + 1 call io_get_token(line, ilength, ifirst, ilast, ierr) diff --git a/src/io/io_read_craterlist.f90 b/src/io/io_read_craterlist.f90 new file mode 100644 index 00000000..ec17ff58 --- /dev/null +++ b/src/io/io_read_craterlist.f90 @@ -0,0 +1,55 @@ +!********************************************************************************************************************************** +! +! Unit Name : io_read_craterlist +! Unit Type : subroutine +! Project : CTEM +! Language : Fortran 2003 +! +! Description : Reads in list of 'real' craters for quasi-MC runs +! +! Input +! Arguments : +! +! Output +! Arguments : +! +! Notes : only reads needed line [WIP] +! +!********************************************************************************************************************************** +subroutine io_read_craterlist(rclist, user, domain) + use module_globals + use module_io, EXCEPT_THIS_ONE => io_read_craterlist + implicit none + + ! Arguments + real(DP),dimension(:,:),intent(out) :: rclist + type(usertype),intent(inout) :: user + type(domaintype),intent(in) :: domain + + ! Internals + integer(I4B) :: i,ierr + integer(I4B),parameter :: LUN=7 + real(DP) :: dumm + + ! Executable code + + ! Read the next crater from the craterlist + + open(unit=LUN,file=rcfile,status='old',iostat=ierr) + if (ierr /= 0) then + write(*,*) "Unable to open file ",trim(rcfile) + stop + end if + + do i=1,domain%rcnum + read(LUN,*,iostat=ierr) rclist(1:6,i) + if (ierr/=0) then + write(*,*) "Unable to read file ",trim(rcfile) + stop + end if + end do + + close(LUN) +end subroutine io_read_craterlist + + diff --git a/src/io/io_read_regotrack.f90 b/src/io/io_read_regotrack.f90 index 06093b3a..ed93300c 100644 --- a/src/io/io_read_regotrack.f90 +++ b/src/io/io_read_regotrack.f90 @@ -31,11 +31,13 @@ subroutine io_read_regotrack(user,surf) integer(I4B), parameter :: LUM=8 integer(I4B), parameter :: LUP=9 integer(I4B), parameter :: LUC=10 + integer(I4B), parameter :: LUA=11 real(DP),dimension(user%gridsize,user%gridsize) :: regotop,melt,comp + real(SP),dimension(user%gridsize,user%gridsize,60) :: age integer(I4B),dimension(user%gridsize,user%gridsize) :: stacks_num - real(DP), dimension(:),allocatable :: regotopi,melti,compi + real(DP), dimension(:),allocatable :: regotopi,melti,compi,agei type(regodatatype) :: newsurfi - integer(I4B) :: ioerr,i,j,k,itmp + integer(I4B) :: ioerr,i,j,k,q,itmp integer(kind=8) :: recsize logical :: initstat @@ -71,6 +73,12 @@ subroutine io_read_regotrack(user,surf) stop end if + open(LUA,file=AGEFILE,status='old',form='unformatted',iostat=ioerr) + if (ioerr/=0) then + write(*,*) 'Error! Cannot read file ',trim(adjustl(MELTFILE)) + stop + end if + ! Start pushing regolith thickness and melt fraction of each layer in FILO manner do j=1,user%gridsize @@ -81,7 +89,8 @@ subroutine io_read_regotrack(user,surf) allocate(regotopi(stacks_num(i,j))) allocate(compi(stacks_num(i,j))) allocate(melti(stacks_num(i,j))) - + allocate(agei(60 * stacks_num(i,j))) + do k=1,stacks_num(i,j) read(LUN) regotop(i,j) regotopi(k) = regotop(i,j) @@ -89,16 +98,23 @@ subroutine io_read_regotrack(user,surf) compi(k) = comp(i,j) read(LUM) melt(i,j) melti(k) = melt(i,j) + read(LUA) age(i,j,:) + do q=1,60 + agei(60*k - (60-q)) = age(i,j,q) + end do end do do k=max(stacks_num(i,j)-1,1),1,-1 newsurfi%thickness = regotopi(k) newsurfi%comp = compi(k) newsurfi%meltfrac = melti(k) + do q=1,60 + newsurfi%age(q) = agei(60*k-(60-q)) + end do call util_push(surf(i,j)%regolayer,newsurfi) end do - deallocate(regotopi,compi,melti) + deallocate(regotopi,compi,melti,agei) end do end do diff --git a/src/io/io_read_surf.f90 b/src/io/io_read_surf.f90 index 3dbade81..af611eea 100644 --- a/src/io/io_read_surf.f90 +++ b/src/io/io_read_surf.f90 @@ -77,7 +77,6 @@ subroutine io_read_surf(user,surf) end do close(LUN) - recsize = sizeof(stmp) * user%gridsize * user%gridsize open(LUN,file=POSFILE,status='old',form='unformatted',recl=recsize,access='direct',iostat=ioerr) if (ioerr/=0) then @@ -92,9 +91,6 @@ subroutine io_read_surf(user,surf) if (user%doregotrack) call io_read_regotrack(user,surf) - ! if doporosity, call io_read_porotrack to define the porosity linked list from the read files. - if (user%doporosity) call io_read_porotrack(user,surf) - !if (user%docrustal_thinning) then ! recsize=sizeof(itmp)*user%gridsize*user%gridsize ! open(LUN,file=THICKFILE,status='old',form='unformatted',recl=recsize,access='direct',iostat=ioerr) diff --git a/src/io/io_write_age.f90 b/src/io/io_write_age.f90 new file mode 100644 index 00000000..2f102188 --- /dev/null +++ b/src/io/io_write_age.f90 @@ -0,0 +1,101 @@ +!********************************************************************************************************************************** +! +! Unit Name : io_write_age +! Unit Type : subroutine +! Project : CTEM +! Language : Fortran 2003 +! +! Description : Writes new files for terrain grids for age information +! +! Input +! Arguments : +! +! Output +! Arguments : surf : Surface expression matrix +! +! Notes : +! +!********************************************************************************************************************************** +subroutine io_write_age(user,surf,n_size,icrater,ncrat) + use module_globals + use module_io, EXCEPT_THIS_ONE => io_write_age + implicit none + + ! Arguments + type(usertype),intent(in) :: user + type(surftype),dimension(:,:),intent(in) :: surf + integer(I2B),intent(in) :: n_size + integer(I8B),intent(in) :: icrater + integer(I8B),intent(in) :: ncrat + + ! Regotrack Internals + integer(I4B) :: i,j,k + integer(I4B), parameter :: LUN=7 + real(DP),parameter :: sdepth = 0.1 + real(SP),dimension(user%gridsize,user%gridsize) :: agetop + real(SP),dimension(:),allocatable :: age_prev + real(SP),dimension(:),allocatable :: agedepthtot + integer(kind=8) :: recsize + real(SP) :: stmp + real(SP) :: agetot, age_weighted + type(regolisttype),pointer :: current => null() + real(DP) :: depth, depth_prev + real(SP) :: recyclratio + ! Output multiple "comphisto" files + character(len=255) :: fname + integer(I4B) :: n_age + + ! Executable code + allocate(age_prev(n_size)) + allocate(agedepthtot(n_size)) + agetop = 0.0_SP + + do j=1,user%gridsize + do i=1,user%gridsize + + depth = 0.0 + depth_prev = 0.0 + current => surf(i,j)%regolayer + age_prev(:) = current%regodata%age(:) + agedepthtot = 0.0_SP + do + if (depth > sdepth) then + recyclratio = real( (depth - sdepth) / (depth - depth_prev) ) + agedepthtot(:) = agedepthtot(:) - recyclratio * age_prev(:) + depth = sdepth + exit + end if + depth_prev = depth + depth = depth + current%regodata%thickness + agedepthtot(:) = agedepthtot(:) + current%regodata%age(:) + age_prev(:) = current%regodata%age(:) + current => current%next + end do + + age_weighted = 0.0_SP + do k=1, n_size + age_weighted = age_weighted + agedepthtot(k) * (float(k) - 0.5) * 0.5 + end do + + agetot = sum(agedepthtot(:)) + age_weighted = age_weighted / agetot + if (agetot == 0.0_SP .and. age_weighted == 0.0_SP) then + agetop(i,j) = -0.5 + else + agetop(i,j) = age_weighted + end if + + end do + end do + + deallocate(age_prev,agedepthtot) + + n_age = max(int(icrater/ncrat), 1) + recsize = sizeof(stmp) * user%gridsize * user%gridsize + write(fname,'(a,i6.6)') 'agetop', n_age + open(LUN,file=fname,status='replace',form='unformatted',recl=recsize,access='direct') + write(LUN,rec=1) agetop + close(LUN) + + return +end subroutine io_write_age diff --git a/src/io/io_write_age_depth.f90 b/src/io/io_write_age_depth.f90 new file mode 100644 index 00000000..a1b61f5a --- /dev/null +++ b/src/io/io_write_age_depth.f90 @@ -0,0 +1,83 @@ +!********************************************************************************************************************************** +! +! Unit Name : io_write_age_depth +! Unit Type : subroutine +! Project : CTEM +! Language : Fortran 2003 +! +! Description : Writes new files for terrain grids for age information +! +! Input +! Arguments : +! +! Output +! Arguments : surf : Surface expression matrix +! +! Notes : +! +!********************************************************************************************************************************** +subroutine io_write_age_depth(user,surf,n_size,icrater,ncrat,age,age_2_depth) + use module_globals + use module_io, EXCEPT_THIS_ONE => io_write_age_depth + implicit none + + ! Arguments + type(usertype),intent(in) :: user + type(surftype),dimension(:,:),intent(in) :: surf + integer(I2B),intent(in) :: n_size + integer(I8B),intent(in) :: icrater + integer(I8B),intent(in) :: ncrat + real(DP),intent(in) :: age + real(SP),dimension(:,:,:),intent(inout) :: age_2_depth + + ! Regotrack Internals + integer(I4B) :: i,j,k + real(SP),dimension(:),allocatable :: age_prev + real(SP),dimension(:,:),allocatable :: agedepthtot + real(DP) :: depth, depth_prev, recyclratio + real(DP),dimension(5),parameter :: sdepth = [0.3, 3.0, 7.0, 8.0, 9.0] ![0.1, 0.5, 0.8, 1.0, 3.0] ![0.3, 2.0, 4.0, 6.0, 10.0] + type(regolisttype),pointer :: current => null() + integer(I4B) :: n + + ! Executable code + allocate(age_prev(n_size)) + allocate(agedepthtot(n_size,5)) + + agedepthtot = 0.0_SP + + do k = 1, 5 + do j = 1,user%gridsize + do i = 1,user%gridsize + + depth = 0.0 + depth_prev = 0.0 + current => surf(i,j)%regolayer + age_prev(:) = current%regodata%age(:) + do + if (depth > sdepth(k)) then + recyclratio = (depth - sdepth(k)) / (depth - depth_prev) + agedepthtot(:,k) = agedepthtot(:,k) - recyclratio * age_prev(:) + depth = sdepth(k) + exit + end if + depth_prev = depth + depth = depth + current%regodata%thickness + agedepthtot(:,k) = agedepthtot(:,k) + current%regodata%age(:) + age_prev(:) = current%regodata%age(:) + current => current%next + end do + + end do + end do + end do + + n = max( icrater / ncrat, 1) + do k = 1, 5 + age_2_depth(n,1,k) = age + age_2_depth(n,2:n_size+1,k) = agedepthtot(:,k) + end do + + deallocate(age_prev,agedepthtot) + + return +end subroutine io_write_age_depth diff --git a/src/io/io_write_const.f90 b/src/io/io_write_const.f90 index 337811c2..a22521ef 100644 --- a/src/io/io_write_const.f90 +++ b/src/io/io_write_const.f90 @@ -23,7 +23,8 @@ subroutine io_write_const(totalimpacts,ncount,curyear,restart,fracdone,masstot,s implicit none ! Arguments - integer(I4B),intent(in) :: totalimpacts,ncount + integer(I8B),intent(in) :: totalimpacts + integer(I4B),intent(in) :: ncount logical,intent(in) :: restart real(DP),intent(in) :: curyear,fracdone,masstot integer(I4B),dimension(:),intent(in) :: seedarr diff --git a/src/io/io_write_pindex_map.f90 b/src/io/io_write_pindex_map.f90 new file mode 100644 index 00000000..4f35fb55 --- /dev/null +++ b/src/io/io_write_pindex_map.f90 @@ -0,0 +1,48 @@ +!********************************************************************************************************************************** +! +! Unit Name : io_write_pindex_map +! Unit Type : subroutine +! Project : CTEM +! Language : Fortran 2003 +! +! Description : write files about pindex map (scoring old melts) +! +! Input +! Arguments : +! +! Output +! Arguments : surf : Surface expression matrix +! +! Notes : +! +!********************************************************************************************************************************** +subroutine io_write_pindex_map(user,pindex,icrater,ncrat) + use module_globals + use module_io, EXCEPT_THIS_ONE => io_write_pindex_map + implicit none + + ! Arguments + type(usertype),intent(in) :: user + integer(I2B),dimension(:,:),intent(inout) :: pindex + integer(I8B),intent(in) :: icrater + integer(I8B),intent(in) :: ncrat + + ! Regotrack Internals + integer(I4B), parameter :: LUN=7 + integer(kind=8) :: recsize + integer(I2B) :: itmp + ! Output multiple "pindex" files + character(len=255) :: fname + integer(I2B) :: n_age + + ! Executable code + + n_age = int(icrater/ncrat) + recsize = sizeof(itmp) * user%gridsize * user%gridsize + write(fname,'(a,i6.6)') 'pindex', n_age + open(LUN,file=fname,status='replace',form='unformatted',recl=recsize,access='direct') + write(LUN,rec=1) pindex + close(LUN) + + return +end subroutine io_write_pindex_map diff --git a/src/io/io_write_regotrack.f90 b/src/io/io_write_regotrack.f90 index 91ea33db..a6f3c2e1 100644 --- a/src/io/io_write_regotrack.f90 +++ b/src/io/io_write_regotrack.f90 @@ -30,13 +30,17 @@ subroutine io_write_regotrack(user,surf) integer(I4B), parameter :: LUN=7 integer(I4B), parameter :: LUM=8 integer(I4B), parameter :: LUC=9 + integer(I4B), parameter :: LUA=10 type(regolisttype),pointer :: current => null() - real(DP),dimension(user%gridsize,user%gridsize) :: regotop,comp,melt + real(DP),dimension(user%gridsize,user%gridsize) :: regotop,comp,melt + real(SP),dimension(user%gridsize,user%gridsize) :: agetop + real(SP),dimension(user%gridsize,user%gridsize,60) :: age integer(I4B),dimension(user%gridsize,user%gridsize) :: stacks_num integer(kind=8) :: recsize real(DP) :: dtmp + real(SP) :: stmp integer(I4B) :: itmp - real(DP),dimension(user%gridsize,user%gridsize) :: comptop!,surface + real(DP),dimension(user%gridsize,user%gridsize) :: comptop, rego real(DP),dimension(:),allocatable :: marehisto real(DP) :: mare, z @@ -51,24 +55,47 @@ subroutine io_write_regotrack(user,surf) logical :: exist ! Executable code - open(LUN,file=MELTFILE,status='replace',form='unformatted') - open(LUM,file=REGOFILE,status='replace',form='unformatted') - open(LUC,file=COMPFILE,status='replace',form='unformatted') + ! Output mulitple "comphisto" files + inquire(file=clockfile, exist=exist) + if (exist) then + open(LUN,file=clockfile,status='old') + read(LUN,*) tictoc + else + write(*,*) clockfile,' is missing!' + end if + tictoc = tictoc + 1 + close(LUN) + open(LUN,file=clockfile,status='replace') + write(LUN,*) tictoc + close(LUN) + + write(fname,'(a,i4.4)') 'surface_melt',tictoc + open(LUN,file=fname,status='replace',form='unformatted') + write(fname,'(a,i4.4)') 'surface_rego',tictoc + open(LUM,file=fname,status='replace',form='unformatted') + write(fname,'(a,i4.4)') 'surface_comp',tictoc + open(LUC,file=fname,status='replace',form='unformatted') + write(fname,'(a,i4.4)') 'surface_age',tictoc + open(LUA,file=fname,status='replace',form='unformatted') do j=1,user%gridsize do i=1,user%gridsize stacks_num(i,j) = 0 current => surf(i,j)%regolayer comptop(i,j) = current%regodata%comp + rego(i,j) = current%regodata%thickness + agetop(i,j) = current%regodata%age(1) do if (.not. associated(current)) exit stacks_num(i,j) = stacks_num(i,j) + 1 regotop(i,j) = current%regodata%thickness comp(i,j) = current%regodata%comp melt(i,j) = current%regodata%meltfrac + age(i,j,:)= current%regodata%age(:) write(LUM) regotop(i,j) write(LUC) comp(i,j) write(LUN) melt(i,j) + write(LUA) age(i,j,:) current => current%next end do end do @@ -76,25 +103,16 @@ subroutine io_write_regotrack(user,surf) close(LUN) close(LUM) close(LUC) + close(LUA) recsize = sizeof(dtmp) * user%gridsize * user%gridsize - open(LUN,file='comptop.dat',status='replace',form='unformatted',recl=recsize,access='direct') - write(LUN,rec=1) comptop + open(LUN,file='agetop.dat',status='replace',form='unformatted',recl=recsize,access='direct') + write(LUN,rec=1) agetop close(LUN) - ! Output mulitple "comphisto" files - inquire(file=clockfile, exist=exist) - if (exist) then - open(LUN,file=clockfile,status='old') - read(LUN,*) tictoc - else - write(*,*) clockfile,' is missing!' - end if - tictoc = tictoc + 1 - close(LUN) - - open(LUN,file=clockfile,status='replace') - write(LUN,*) tictoc + recsize = sizeof(dtmp) * user%gridsize * user%gridsize + open(LUN,file='comptop.dat',status='replace',form='unformatted',recl=recsize,access='direct') + write(LUN,rec=1) comptop close(LUN) allocate(marehisto(user%gridsize)) @@ -114,8 +132,14 @@ subroutine io_write_regotrack(user,surf) close(LUN) deallocate(marehisto) + recsize = sizeof(dtmp) * user%gridsize * user%gridsize + open(LUN,file='regotop.dat',status='replace',form='unformatted',recl=recsize,access='direct') + write(LUN,rec=1) rego + close(LUN) + recsize = sizeof(itmp) * user%gridsize * user%gridsize - open(LUN,file=STACKNUMFILE,status='replace',form='unformatted',recl=recsize,access='direct') + write(fname,'(a,i4.4)') 'surface_stacknum',tictoc + open(LUN,file=fname,status='replace',form='unformatted',recl=recsize,access='direct') write(LUN,rec=1) stacks_num close(LUN) diff --git a/src/io/io_write_surf.f90 b/src/io/io_write_surf.f90 index 9755ed02..45686009 100644 --- a/src/io/io_write_surf.f90 +++ b/src/io/io_write_surf.f90 @@ -67,13 +67,7 @@ subroutine io_write_surf(user,surf) end do close(LUN) - if (user%doregotrack) then - !call io_write_regodist(user,surf) - call io_write_regotrack(user,surf) - end if - - ! write data from porosity analysis - if (user%doporosity) call io_write_porotrack(user, surf) + if (user%doregotrack) call io_write_regotrack(user,surf) ! if (user%docrustal_thinning) then ! recsize = sizeof(itmp) * user%gridsize * user%gridsize diff --git a/src/io/module_io.f90 b/src/io/module_io.f90 index 9dcad1f8..7e840100 100644 --- a/src/io/module_io.f90 +++ b/src/io/module_io.f90 @@ -66,15 +66,6 @@ subroutine io_read_regotrack(user,surf) end subroutine io_read_regotrack end interface - interface - subroutine io_read_porotrack(user,surf) - use module_globals - implicit none - type(usertype),intent(in) :: user - type(surftype),dimension(:,:),intent(out) :: surf - end subroutine io_read_porotrack - end interface - interface subroutine io_write_surf(user,surf) use module_globals @@ -93,15 +84,6 @@ subroutine io_write_regotrack(user,surf) end subroutine io_write_regotrack end interface - interface - subroutine io_write_porotrack(user,surf) - use module_globals - implicit none - type(usertype),intent(in) :: user - type(surftype),dimension(:,:),intent(in) :: surf - end subroutine io_write_porotrack - end interface - interface subroutine io_crater_profile(user,surf) use module_globals @@ -121,6 +103,16 @@ subroutine io_read_prod(prod,user,domain) end subroutine io_read_prod end interface + interface + subroutine io_read_craterlist(rclist, user,domain) + use module_globals + implicit none + real(DP),dimension(:,:),intent(out) :: rclist + type(usertype),intent(inout) :: user + type(domaintype),intent(in) :: domain + end subroutine io_read_craterlist + end interface + interface subroutine io_read_vdist(vdist,user,domain) use module_globals @@ -198,13 +190,41 @@ subroutine io_splash() end subroutine io_splash end interface - !interface - ! subroutine io_write_regodist(user,surf) - ! use module_globals - ! implicit none - ! type(usertype),intent(in) :: user - ! type(surftype),dimension(:,:),intent(in) :: surf - ! end subroutine io_write_regodist - !end interface + interface + subroutine io_write_age(user,surf,n_size,icrater,ncrat) + use module_globals + implicit none + type(usertype),intent(in) :: user + type(surftype),dimension(:,:),intent(in) :: surf + integer(I2B),intent(in) :: n_size + integer(I8B),intent(in) :: icrater + integer(I8B),intent(in) :: ncrat + end subroutine io_write_age + end interface + + interface + subroutine io_write_pindex_map(user,pindex,icrater,ncrat) + use module_globals + implicit none + type(usertype),intent(in) :: user + integer(I2B),dimension(:,:),intent(inout) :: pindex + integer(I8B),intent(in) :: icrater + integer(I8B),intent(in) :: ncrat + end subroutine io_write_pindex_map + end interface + + interface + subroutine io_write_age_depth(user,surf,n_size,icrater,ncrat,age,age_2_depth) + use module_globals + implicit none + type(usertype),intent(in) :: user + type(surftype),dimension(:,:),intent(in) :: surf + integer(I2B),intent(in) :: n_size + integer(I8B),intent(in) :: icrater + integer(I8B),intent(in) :: ncrat + real(DP),intent(in) :: age + real(SP),dimension(:,:,:),intent(inout) :: age_2_depth + end subroutine io_write_age_depth + end interface end module module_io diff --git a/src/main/CTEM.f90 b/src/main/CTEM.f90 index 04fb9a71..986356c8 100644 --- a/src/main/CTEM.f90 +++ b/src/main/CTEM.f90 @@ -38,7 +38,7 @@ program CTEM type(cratertype) :: crater ! Distribution arrays -real(DP),dimension(:,:),allocatable :: prod,vdist,pdist,crtscl,truedist,obsdist,truelist +real(DP),dimension(:,:),allocatable :: prod,vdist,pdist,crtscl,truedist,obsdist,truelist,rclist real(DP),dimension(:),allocatable :: obslist real(SP),dimension(:),allocatable :: depthdiam real(DP),dimension(:),allocatable :: degradation_state @@ -49,8 +49,7 @@ program CTEM logical :: restart ! F = new run (start with a fresh surface) integer(I8B) :: totalimpacts ! Total number of impacts ever produced integer(I4B) :: ncount ! Current count in ctem_driver IDL run -integer(I4B) :: n, xp, yp ! Size of random number generator seed array -integer(I4B),dimension(:),allocatable :: seedarr ! Random number generator seed array +integer(I4B) :: n, xp, yp, i ! Size of random number generator seed array real(DP) :: curyear real(DP) :: mass real(DP) :: masstot @@ -61,6 +60,7 @@ program CTEM integer(I4B) :: ntotkilled integer(I8B) :: ntotcrat integer(I4B) :: onum +real(DP) :: lambda !$ real(DP) :: t1,t2 real(DP),dimension(:,:),allocatable :: nflux @@ -78,6 +78,7 @@ program CTEM allocate(nflux(3,domain%pnum)) allocate(crtscl(2,domain%pnum)) allocate(vdist(3,domain%vnum)) +allocate(rclist(6,domain%rcnum)) allocate(surf(user%gridsize,user%gridsize)) allocate(production_list(domain%pnum)) @@ -87,6 +88,10 @@ program CTEM ! Read in impactor velocity distribution call io_read_vdist(vdist,user,domain) +! Read in real crater list for quasi-MC run +if (user%doquasimc) call io_read_craterlist(rclist,user,domain) +!write(*,*) rclist + write(*,*) "Initializing simulation domain and determining minimum impactor size" call init_domain(user,crater,domain,prod,pdist,vdist,crtscl,nflux) @@ -96,9 +101,9 @@ program CTEM ! Reset random number generator call random_seed call random_seed(size=n) -allocate(seedarr(n)) -call io_read_const(totalimpacts,ncount,curyear,restart,fracdone,masstot,seedarr) -call random_seed(put=seedarr) +allocate(crater%seedarr(n)) +call io_read_const(totalimpacts,ncount,curyear,restart,fracdone,masstot,crater%seedarr) +call random_seed(put=crater%seedarr) ! Read in old grid arrays, production function, and velocity distributions if (restart .or. user%tallyonly) then @@ -116,12 +121,11 @@ program CTEM call crater_make_list(domain,prod,ntotcrat,production_list) end if call crater_populate(user,surf,crater,domain,prod,production_list,vdist,ntrue,vistrue,ntotkilled,truelist,mass,& - fracdone,nflux,ntotcrat,curyear) + fracdone,nflux,ntotcrat,curyear,rclist) ! Get the last seed and save it to file - call random_seed(get=seedarr) totalimpacts = totalimpacts + ntotcrat - call io_write_const(totalimpacts,ncount,curyear,restart,fracdone,masstot,seedarr) + call io_write_const(totalimpacts,ncount,curyear,restart,fracdone,masstot,crater%seedarr) call crater_tally_true(domain,truelist(:,1:ntrue),ntrue,truedist) end if diff --git a/src/realistic/realistic_perlin_noise.f90 b/src/realistic/realistic_perlin_noise.f90 index 3c342fd8..f325b3a0 100644 --- a/src/realistic/realistic_perlin_noise.f90 +++ b/src/realistic/realistic_perlin_noise.f90 @@ -605,18 +605,10 @@ subroutine realistic_ejecta_texture(user,surf,crater,deltaMtot,inc,ejecta_dem) real(DP) :: splatmag ! The magnitude of the splat features relative to the ejecta thickness integer(I4B) :: nsplat_octaves integer(I4B) :: nseed - integer(I4B),dimension(:),allocatable :: seed real(DP),dimension(:),allocatable :: Sarr,Aarr real(DP),dimension(:,:),allocatable :: anchor - !Executable code - call random_seed(size = nseed) - allocate(seed(nseed)) - seed = 42 * (/ (i - 1, i = 1, nseed) /) - call random_seed(put = seed) - deallocate(seed) - ! Copernicus values num_octaves = 20 diff --git a/src/regolith/module_regolith.f90 b/src/regolith/module_regolith.f90 index fce6678c..30ec5d64 100644 --- a/src/regolith/module_regolith.f90 +++ b/src/regolith/module_regolith.f90 @@ -76,7 +76,8 @@ end subroutine regolith_transport end interface interface - subroutine regolith_streamtube(user,surf,crater,domain,ejb,ejtble,xp,yp,xpi,ypi,lrad,ebh,rm) + subroutine regolith_streamtube(user,surf,crater,domain,ejb,ejtble,xp,yp,xpi,ypi,lrad,ebh,& + rm,vsq,age,age_resolution) use module_globals implicit none type(usertype),intent(in) :: user @@ -87,53 +88,68 @@ subroutine regolith_streamtube(user,surf,crater,domain,ejb,ejtble,xp,yp,xpi,ypi, type(ejbtype),dimension(:),intent(in) :: ejb real(DP),intent(in) :: xp,yp,lrad,ebh integer(I4B),intent(in) :: xpi,ypi - real(DP),intent(in) :: rm + real(DP),intent(in) :: rm, vsq, age, age_resolution end subroutine regolith_streamtube end interface interface - subroutine regolith_traverse_streamtube(user,surfi,deltar,ri,rip1,eradi,erado,vseg,newlayer,rm) + subroutine regolith_traverse_streamtube(user,surfi,deltar,ri,rip1,eradi,erado,newlayer,vmare,totseb,& + age_collector,xmints,xsfints,rsh,depthb) use module_globals implicit none type(usertype),intent(in) :: user type(surftype),intent(inout) :: surfi - real(DP),intent(in) :: deltar,ri,rip1,eradi,erado,vseg,rm + real(DP),intent(in) :: deltar,ri,rip1,eradi,erado type(regodatatype),intent(inout) :: newlayer + real(DP),intent(out) :: vmare,totseb + real(SP),dimension(:),intent(inout) :: age_collector + real(DP),intent(in) :: xmints + real(DP),intent(in) :: xsfints, rsh, depthb end subroutine regolith_traverse_streamtube end interface interface - subroutine regolith_subpixel_streamtube(user,surfi,deltar,ri,rip1,eradi,vseg,newlayer,rm) + subroutine regolith_subpixel_streamtube(user,surfi,deltar,ri,rip1,eradi,newlayer,vmare,totseb,& + age_collector,xmints,xsfints,vol) use module_globals implicit none type(usertype),intent(in) :: user - type(surftype),intent(inout) :: surfi - real(DP),intent(in) :: deltar,ri,rip1,eradi,vseg - type(regodatatype),intent(inout) :: newlayer - real(DP),intent(in) :: rm + type(surftype),intent(in) :: surfi + real(DP),intent(in) :: deltar,ri,rip1,eradi + type(regodatatype),intent(inout) :: newlayer + real(DP),intent(out) :: vmare,totseb + real(SP),dimension(:),intent(inout) :: age_collector + real(DP),intent(in) :: xmints + real(DP),intent(in) :: xsfints + real(DP),intent(inout) :: vol end subroutine regolith_subpixel_streamtube end interface interface - subroutine regolith_streamtube_lineseg(user,surfi,thetast,ri,rip1,zmin,zmax,erad,eradi,deltar,vseg,newlayer,rm) + subroutine regolith_streamtube_lineseg(user,surfi,thetast,ri,rip1,zmin,zmax,erad,eradi,deltar,newlayer,vmare,& + totseb,age_collector,xmints,xsfints,depthb) use module_globals implicit none type(usertype),intent(in) :: user type(surftype),intent(in) :: surfi - real(DP),intent(in) :: thetast,ri,rip1,zmin,zmax,erad,eradi,deltar,vseg,rm + real(DP),intent(in) :: thetast,ri,rip1,zmin,zmax,erad,eradi,deltar type(regodatatype),intent(inout) :: newlayer + real(DP),intent(inout) :: vmare,totseb + real(SP),dimension(:),intent(inout) :: age_collector + real(DP),intent(in) :: xmints + real(DP),intent(in) :: xsfints, depthb end subroutine regolith_streamtube_lineseg end interface interface - subroutine regolith_streamtube_head(user,surfi,deltar,newlayer,eradi,rm) + subroutine regolith_streamtube_head(user,surfi,deltar,totmare,tots,age_collector) use module_globals implicit none type(usertype),intent(in) :: user type(surftype),intent(in) :: surfi real(DP),intent(in) :: deltar - type(regodatatype),intent(inout) :: newlayer - real(DP),intent(in) :: eradi,rm + real(DP),intent(inout) :: totmare,tots + real(SP),dimension(:),intent(inout) :: age_collector end subroutine regolith_streamtube_head end interface @@ -228,4 +244,73 @@ subroutine regolith_depth_model(user,domain,finterval,nflux,p) end subroutine regolith_depth_model end interface + interface + subroutine regolith_melt_glass(user,crater,age,age_resolution,ebh,rm,eradc,lrad,deltar,newlayer,xmints) + use module_globals + type(usertype),intent(in) :: user + type(cratertype),intent(in) :: crater + real(DP),intent(in) :: age + real(DP),intent(in) :: age_resolution + real(DP),intent(in) :: ebh + real(DP),intent(in) :: rm + real(DP),intent(in) :: eradc + real(DP),intent(in) :: lrad + real(DP),intent(out) :: deltar + type(regodatatype),intent(out) :: newlayer + real(DP),intent(out) :: xmints + end subroutine regolith_melt_glass + end interface + + interface + subroutine regolith_superdomain(user,crater,domain,regolayer,ejdistribution,xpi,ypi,age,age_resolution,rm,depthb) + use module_globals + type(usertype),intent(in) :: user + type(cratertype),intent(inout) :: crater + type(domaintype),intent(in) :: domain + type(regolisttype),pointer :: regolayer + real(DP),intent(in) :: ejdistribution + integer(I4B),intent(in) :: xpi, ypi + real(DP),intent(in) :: age + real(DP),intent(in) :: age_resolution + real(DP),intent(in) :: rm + real(DP),intent(in) :: depthb + end subroutine regolith_superdomain + end interface + + interface + subroutine regolith_melt_zone_superdomain(user,crater,domain,rm,depthb) + use module_globals + type(usertype),intent(in) :: user + type(cratertype),intent(inout) :: crater + type(domaintype),intent(in) :: domain + real(DP),intent(out) :: rm, depthb + end subroutine regolith_melt_zone_superdomain + end interface + + interface + function regolith_streamtube_volume_func(eradi,ri,rip1,deltar) result(vol) + use module_globals + implicit none + real(DP), intent(in) :: eradi, ri, rip1, deltar + real(DP) :: vol + end function regolith_streamtube_volume_func + end interface + + interface + subroutine regolith_shock_damage_zone(crater,rm,eradi,depthb,xsfints) + use module_globals + type(cratertype),intent(in) :: crater + real(DP),intent(in) :: rm, eradi, depthb + real(DP),intent(out) :: xsfints + end subroutine regolith_shock_damage_zone + end interface + + interface + function regolith_shock_damage(erad,deltar,xmints,xsfints,xleft,xright) result(vsh) + use module_globals + real(DP),intent(in) :: erad, deltar, xmints, xsfints, xleft, xright + real(DP) :: vsh + end function regolith_shock_damage + end interface + end module diff --git a/src/regolith/regolith_melt_func.f90 b/src/regolith/regolith_melt_func.f90 index 85cf196e..3cc1c430 100755 --- a/src/regolith/regolith_melt_func.f90 +++ b/src/regolith/regolith_melt_func.f90 @@ -75,5 +75,5 @@ function regolith_melt_func(r,depthb,erad) result(vol) else if (yints > ymax) then vol = vol0 + PI/6.0 * erad**3 * (1.0 - 4.0*xints/erad)**1.5 end if - + end function regolith_melt_func diff --git a/src/regolith/regolith_melt_glass.f90 b/src/regolith/regolith_melt_glass.f90 new file mode 100644 index 00000000..339bcce1 --- /dev/null +++ b/src/regolith/regolith_melt_glass.f90 @@ -0,0 +1,162 @@ +!****f* regolith/regolith_melt_glass +! Name +! regolith_melt_glass -- Calculate melt glass within a stream tube during excavation stage. +! SYNOPSIS +! This uses +! * module_globals +! * module_util +! * module_regolith +! +! call regolith_melt_glass(user,age,ebh,deltar,newlayer) +! +! DESCRIPTION +! +! The modeling of production of glass spherules is based on the terrestrial +! tektites and microtektites record. A direct cutoff (no glass spherules +! passing a specific landing distance) is applied. Future work can be done to +! interpret the efficiency of glass spherule production from their trajectory +! from iSale and check interaction between hot ejecta, vapor, and cold ejecta. +! +! ARGUMENTS +! Input +! * user -- The user-defined variables from the input file +! * age -- The age of modeled glass spherule which is equivalent to the +! formtion of its parent impact crater. +! * ebh -- The thickness of ejecta blanket +! +! Output +! * deltar -- The size or cross section's radius of a stream tube +! * newlayer -- The linked list that contains ejecta's properites. +! +! NOTES +! In future, a segment may contain multicomponent, and as a result the advanced analysis is needed. +! +!*** + +!********************************************************************************************************************************** +! +! Unit Name : regolith_melt_glass +! Unit Type : subroutine +! Project : CTEM +! Language : Fortran 2003 +! +! Description : Determine an abundance of glass spherules within a stream tube +! +! +! Input +! Arguments : +! +! Output +! Arguments : +! newlayer +! deltar +! +! +! Notes : +! +!********************************************************************************************************************************** +subroutine regolith_melt_glass(user,crater,age,age_resolution,ebh,rm,eradc,lrad,deltar,newlayer,xmints) + use module_globals + use module_util + use module_regolith, EXCEPT_THIS_ONE => regolith_melt_glass + implicit none + + ! Arguments + type(usertype),intent(in) :: user + type(cratertype),intent(in) :: crater + real(DP),intent(in) :: age + real(DP),intent(in) :: age_resolution + real(DP),intent(in) :: ebh + real(DP),intent(in) :: rm + real(DP),intent(in) :: eradc + real(DP),intent(in) :: lrad + real(DP),intent(out) :: deltar + type(regodatatype),intent(out) :: newlayer + real(DP),intent(out) :: xmints + + ! Internal variables + ! Stream tube parameters + real(DP),parameter :: a = 0.936457 ! Fitting parameters for the relation between height difference and a radial position of a stream tube + real(DP),parameter :: b = 1.12368 + + ! Constrain the tangital tube's volume with CTEM result + real(DP) :: k1,k2,k3,k4,c1,c2 + + ! Calculate vapor and melt zone intersection point with stream tubes + real(DP) :: vst, erado, eradi + real(DP) :: cosvints, sinvints, xvints, rints + real(DP) :: volv1, melt, volm1, depthb + real(DP) :: q1, q2, q3 + real(DP) :: thetaq + integer(I2B) :: n_age + ! Estimate melt droplet size + real(DP),parameter :: b_exponent = -0.97 + real(DP) :: cvpgsqr, p1, p2, p3, p4, p5 + real(DP) :: dm + + + ! Executalbe code + ! ******************************** Size of a tangential stream tube ********************************************** + ! Determine the radius of a tangential-shaped circule stream tube at the head of the stream tube + ! The ejecta blanket thickness data from CTEM will be used to constrain our tube, then two calibrated + ! streamlines will be given for estimation of thickness of a layer inside a stream tube + ! A cubic function is given after considering the constraint of ejecta blanket thickness by CTEM, so the cubic + ! function's solution is based on Nmuerical Recipe: Fortran 77, p.178-200, which is believed in a optimized way to do so! + ! The total volume of a stream tube is given: + ! Vst = (0.25_DP * PI * deltar**2 * a**2 * eradi / b *(tan(b)-b)) + sqrt(2.0_DP)/2.0_DP*PI*deltar**3 + + k1 = PI * (0.5 * a)**2 * (tan(b) - b) + k2 = ebh * (user%pix)**2 + k3 = eradc/b + k4 = sqrt(3.0_DP)/2.0_DP * PI - k1/b + c1 = k1 * k3 /k4 + c2 = k2/k4 + deltar = regolith_cubic_func(c1,c2) + erado = eradc + deltar + eradi = eradc - deltar + + ! ******************************* Start to estimate STREAM TUBE'S volume in layering systerm *************************** + ! Purpose: How much layer material are contained in a stream tube? + ! Intro: There are two volume approximation with regarding to discretized stream tubes. First, the subpixel approximation + ! is important to distal landing ejecta, and the advantage of it is that you can use Maxwell Z model equation to calculate + ! the total volume of a stream tube if it is contained inside the whole layer. For the small craters or subpixel craters, + ! this method will be used frequently. + + vst = (0.25_DP * PI * deltar**2 * a**2 * eradi / b *(tan(b)-b)) + sqrt(2.0_DP)/2.0_DP*PI*deltar**3 + + newlayer%meltfrac = 0.0_DP ! default value: no melt (zero) + newlayer%thickness = ebh ! default value: stream tube's volume = paraboloid shell's volume + newlayer%comp = 0.0_DP + rints = sqrt(rm**2 - (crater%imp/2.0)**2) + cosvints = eradi / (crater%imp + eradi) + sinvints = sqrt(1.0 - cosvints**2) + xvints = eradi * ( 1.0 - cosvints) * sinvints + volv1 = regolith_streamtube_volume_func(eradi,0.0_DP,xvints,deltar) + melt = 0.0_DP + newlayer%age(:) = 0.0_SP + if (eradi <= rints) then + volm1 = vst - volv1 + melt = volm1 + newlayer%meltfrac = 1.0 + xmints = rints + else if (eradi > rints) then + depthb = crater%imp / 2.0 + q1 = 1.0 / (1.0 + 2.0 * depthb / eradi) + q2 = -1.0 - q1 + q3 = ( 1.0 + (depthb**2 - rm**2)/eradi**2 ) * q1 + thetaq = acos( -0.5 * q2 - 0.5 * sqrt(q2**2 - 4.0 * q3) ) + xmints = eradi * (1.0 - cos(thetaq)) * sin(thetaq) + volm1 = regolith_streamtube_volume_func(eradi,0.0_DP,xmints,deltar) + melt = volm1 - volv1 + newlayer%meltfrac = melt/vst + end if + + n_age = max(ceiling(age / age_resolution), 1) + if (lrad >= RAD_GP * crater%rad) then + newlayer%age(n_age) = melt / (user%pix * user%pix) + else + newlayer%age(n_age) = 0.0_SP + end if + + return +end subroutine regolith_melt_glass diff --git a/src/regolith/regolith_melt_zone_superdomain.f90 b/src/regolith/regolith_melt_zone_superdomain.f90 new file mode 100644 index 00000000..20d91d0d --- /dev/null +++ b/src/regolith/regolith_melt_zone_superdomain.f90 @@ -0,0 +1,57 @@ +!********************************************************************************************************************************** +! +! Unit Name : regolith_melt_zone_superdomain +! Unit Type : subroutine +! Project : CTEM +! Language : Fortran 2003 +! +! Description : Estimate the melt zone size of a superdomain crater +! +! +! Input +! Arguments : +! +! Output +! Arguments : +! +! +! Notes : +! +!********************************************************************************************************************************** +subroutine regolith_melt_zone_superdomain(user,crater,domain,rm,depthb) + use module_globals + use module_util + use module_regolith, EXCEPT_THIS_ONE => regolith_melt_zone_superdomain + implicit none + + ! Arguments + type(usertype),intent(in) :: user + type(cratertype),intent(inout) :: crater + type(domaintype),intent(in) :: domain + real(DP),intent(out) :: rm, depthb + + ! Internal variables + real(DP) :: cvpg + real(DP) :: vimp, sinimp, rimp, dimp + real(DP) :: pvelv, pmass + real(DP) :: c1, c2, pitwo, pithree, pifour, pivolg + + + crater%grad = crater%rad + cvpg = sqrt(2.0_DP) / 0.85_DP * ( user%mu_r / (user%mu_r + 1) ) + vimp = domain%rmsvel + crater%impvel = vimp + crater%sinimpang = sqrt(2.0_DP) / 2.0_DP + pvelv = vimp * crater%sinimpang + pmass = 4 * THIRD * PI * user%prho + c1 = 1.0_DP + 0.5_DP * user%mu_b + c2 = (-3 * user%mu_r) / (2.0 + user%mu_r) + pitwo = (user%gaccel / pvelv**2) + pifour = user%trho_r / user%prho + rimp = ( PI/(3.0 * user%kv_r) * (crater%grad)**3 * (pitwo**(-1.0 * c2)) * & + (pifour**(c2/3.0)) * user%trho_r / pmass )**(1.0 / (3.0 + c2)) + dimp = rimp * 2.0_DP + crater%imp = dimp + call regolith_melt_zone(user,crater,dimp,vimp,rm,depthb) + return +end subroutine regolith_melt_zone_superdomain diff --git a/src/regolith/regolith_mix.f90 b/src/regolith/regolith_mix.f90 index fc4017c5..dbd08e75 100644 --- a/src/regolith/regolith_mix.f90 +++ b/src/regolith/regolith_mix.f90 @@ -36,14 +36,16 @@ subroutine regolith_mix(surfi,mixing_depth) call util_traverse_pop(surfi%regolayer,mixing_depth,poppedlist_top) newlayer%thickness = 0.0_DP - newlayer%comp = 0.0_DP - newlayer%meltfrac = 0.0_DP + newlayer%comp = 0.0_DP + newlayer%meltfrac = 0.0_DP + newlayer%age(:) = 0.0_DP poppedlist => poppedlist_top do while(associated(poppedlist%next)) newlayer%thickness = newlayer%thickness + poppedlist%regodata%thickness - newlayer%comp = newlayer%comp + poppedlist%regodata%thickness * poppedlist%regodata%comp - newlayer%meltfrac = newlayer%meltfrac + poppedlist%regodata%thickness * poppedlist%regodata%meltfrac + newlayer%comp = newlayer%comp + poppedlist%regodata%thickness * poppedlist%regodata%comp + newlayer%meltfrac = newlayer%meltfrac + poppedlist%regodata%thickness * poppedlist%regodata%meltfrac + newlayer%age(:) = newlayer%age(:) + poppedlist%regodata%age(:) poppedlist => poppedlist%next end do diff --git a/src/regolith/regolith_shock_damage.f90 b/src/regolith/regolith_shock_damage.f90 new file mode 100644 index 00000000..e7890be7 --- /dev/null +++ b/src/regolith/regolith_shock_damage.f90 @@ -0,0 +1,75 @@ +!****f* regolith/regolith_shock_damage_zone +! Name +! regolith_shock_damage -- Calculate the radius of shock damage zone +! and the intersection point between shock damage zone and the stream +! tube +! SYNOPSIS +! This uses +! * module_globals +! * module_regolith +! +! call regolith_shock_damage_zone(user,crater,rm,eradi,depthb,xsfints) +! +! DESCRIPTION +! +! This subroutine calculates the radius of shock damage zone by a +! given shock pressure, setting from globals module, and returns the +! intersection point's x location between shock zone and a given +! stream tube. +! +! ARGUMENTS +! Input +! * user -- The user-defined variables from the input file +! * crater -- Crater dimension container +! * rm -- Radius of melt zone +! * eradi -- The inner radial distance of a stream tube +! * depthb -- The burial depth of shock pressure decay zone +! +! Output +! * xsfints -- X position of intersection point between shock zone +! and stream tube +! +!*** + +!********************************************************************************************************** +! +! Unit Name : regolith_shock_damage_zone(user,crater,rm,eradi,depthb,xsfints) +! Unit Type : subroutine +! Project : CTEM +! Language : Fortran 2003 +! +! Description : Calculate the intersection point between shock damage +! zone and the stream +! +! +! Input +! Arguments : +! +! Output +! Arguments : xsfints :: +! +! +! Notes : +! +!*********************************************************************************************************** +function regolith_shock_damage(erad,deltar,xmints,xsfints,xleft,xright) result(vsh) + use module_globals + use module_regolith, EXCEPT_THIS_ONE => regolith_shock_damage + implicit none + + ! Arguments + real(DP),intent(in) :: erad, deltar, xmints, xsfints, xleft, xright + real(DP) :: vsh + real(DP) :: x_low_sh, x_up_sh + + if (xsfints > xmints) then + x_low_sh = max(xmints,xleft) + x_up_sh = min(xsfints,xright) + vsh = regolith_streamtube_volume_func(erad,x_low_sh,x_up_sh,deltar) + else + vsh = 0.0_DP + end if + + return + +end function regolith_shock_damage diff --git a/src/regolith/regolith_shock_damage_zone.f90 b/src/regolith/regolith_shock_damage_zone.f90 new file mode 100644 index 00000000..48eef234 --- /dev/null +++ b/src/regolith/regolith_shock_damage_zone.f90 @@ -0,0 +1,98 @@ +!****f* regolith/regolith_shock_damage_zone +! Name +! regolith_shock_damage -- Calculate the radius of shock damage zone +! and the intersection point between shock damage zone and the stream +! tube +! SYNOPSIS +! This uses +! * module_globals +! * module_regolith +! +! call regolith_shock_damage_zone(user,crater,rm,eradi,depthb,xsfints) +! +! DESCRIPTION +! +! This subroutine calculates the radius of shock damage zone by a +! given shock pressure, setting from globals module, and returns the +! intersection point's x location between shock zone and a given +! stream tube. +! +! ARGUMENTS +! Input +! * user -- The user-defined variables from the input file +! * crater -- Crater dimension container +! * rm -- Radius of melt zone +! * eradi -- The inner radial distance of a stream tube +! * depthb -- The burial depth of shock pressure decay zone +! +! Output +! * xsfints -- X position of intersection point between shock zone +! and stream tube +! +!*** + +!********************************************************************************************************** +! +! Unit Name : regolith_shock_damage_zone(user,crater,rm,eradi,depthb,xsfints) +! Unit Type : subroutine +! Project : CTEM +! Language : Fortran 2003 +! +! Description : Calculate the intersection point between shock damage +! zone and the stream +! +! +! Input +! Arguments : +! +! Output +! Arguments : xsfints :: +! +! +! Notes : +! +!*********************************************************************************************************** +subroutine regolith_shock_damage_zone(crater,rm,eradi,depthb,xsfints) + use module_globals + use module_regolith, EXCEPT_THIS_ONE => regolith_shock_damage_zone + implicit none + + ! Arguments + type(cratertype),intent(in) :: crater + real(DP),intent(in) :: rm, eradi, depthb + real(DP),intent(out) :: xsfints + + ! Parameters for shock pressure calculation based on numerical modeling + ! results (Montuex and Pierazo) + real(DP),parameter :: rho_dunite = 3320.0 + real(DP),parameter :: c_dunite = 6500.0 + real(DP),parameter :: s_dunite = 0.9 + real(DP),parameter :: n = -2.85 + real(DP) :: pmax, up + real(DP) :: rsh, xshints0 + real(DP) :: q1, q2, q3, thetaq + + ! Calculate the radius of shock pressure decay zone by a given shock + ! P(r) = Pmax * (r/r_p)**(n), where n is negative and we use -3 (fast decay + ! that may be accounted for by acoustic fluidization). + ! Make Pf equal to P(r) and solve the variable of "r", which becomes "rsh" in + ! the following. We assume the projectile and target are the same materials. + ! The maximum peak shock pressure is estimated from planar impact + up = crater%impvel * 0.5 + pmax = rho_dunite * (c_dunite + s_dunite * up) * up + rsh = (crater%imp/2.0) * (PF / pmax)**(1.0/n) + xshints0 = sqrt(rsh**2 - (crater%imp / 2.0)**2) + + if (eradi <= xshints0) then + xsfints = xshints0 + else if (eradi > xshints0) then + q1 = 1.0 / (1.0 + 2.0 * depthb / eradi) + q2 = -1.0 - q1 + q3 = (1.0 + (depthb**2 - rsh**2)/eradi**2) * q1 + thetaq = acos( -0.5 * q2 - 0.5 * sqrt(q2**2 - 4.0 * q3) ) + xsfints = eradi * (1.0 - cos(thetaq)) * sin(thetaq) + end if + + return + +end subroutine regolith_shock_damage_zone diff --git a/src/regolith/regolith_streamtube.f90 b/src/regolith/regolith_streamtube.f90 index 4dad4090..d56108a6 100644 --- a/src/regolith/regolith_streamtube.f90 +++ b/src/regolith/regolith_streamtube.f90 @@ -56,7 +56,7 @@ ! Notes : ! !********************************************************************************************************************************** -subroutine regolith_streamtube(user,surf,crater,domain,ejb,ejtble,xp,yp,xpi,ypi,lrad,ebh,rm) +subroutine regolith_streamtube(user,surf,crater,domain,ejb,ejtble,xp,yp,xpi,ypi,lrad,ebh,rm,vsq,age,age_resolution) use module_globals use module_util use module_regolith, EXCEPT_THIS_ONE => regolith_streamtube @@ -71,7 +71,7 @@ subroutine regolith_streamtube(user,surf,crater,domain,ejb,ejtble,xp,yp,xpi,ypi, type(ejbtype),dimension(:),intent(in) :: ejb real(DP),intent(in) :: xp,yp,lrad,ebh integer(I4B),intent(in) :: xpi,ypi - real(DP),intent(in) :: rm + real(DP),intent(in) :: rm, vsq, age, age_resolution ! Traversing a linked list real(DP),parameter :: a = 0.936457 ! Fitting parameters for the relation between height difference and a radial position of a stream tube @@ -88,7 +88,7 @@ subroutine regolith_streamtube(user,surf,crater,domain,ejb,ejtble,xp,yp,xpi,ypi, integer(I4B) :: i,j,k,toti,totj,toty,cnt,xstpi,ystpi real(DP) :: vtot,vseg,ri,rip1,xc,yc,thetast real(DP) :: vst,vbody,rbody,vmare,totmare,totseb,tots - type(regodatatype) :: newlayer, sumlayer + type(regodatatype) :: newlayer ! Constrain the tangital tube's volume with CTEM result real(DP) :: k1,k2,k3,k4,c1,c2 @@ -102,11 +102,17 @@ subroutine regolith_streamtube(user,surf,crater,domain,ejb,ejtble,xp,yp,xpi,ypi, ! Monte Carlo method for two layers system !real(DP) :: compnohead,compmc,mceb - - ! Fresh melt's calculation - real(DP) :: meltfrac, melt, volm1, volv1 + ! Melt vs glass variables + real(DP) :: meltfrac, melt, volm1, volv1, vol real(DP) :: xm, sinvints, cosvints, rvints, rmints, xvints - real(DP) :: cosq1, cosq2, thetaq, depthb, q1, q2, q3, xmints + real(DP) :: thetaq, depthb, q1, q2, q3, xmints + + ! Shock fragmentation variables + real(DP) :: xsfints, rsh + + ! Melt vs age estimation + real(SP),dimension(MAXAGEBINS) :: age_collector + integer(I2B) :: n_age ! Executalbe code @@ -120,26 +126,22 @@ subroutine regolith_streamtube(user,surf,crater,domain,ejb,ejtble,xp,yp,xpi,ypi, if (k==ejtble) then logdelta = logtablerad - ejb(k - 1)%lrad frac = (loglrad - ejb(k-1)%lrad) / logdelta - eradc = exp(ejb(k-1)%erad) + ((exp(ejb(k)%erad) - exp(ejb(k-1)%erad)) * frac) - ! frac = (loglrad - logtablerad) / logdelta - ! eradc = ejb(k)%erad - ((ejb(k)%erad - LOGVSMALL) * frac) + eradc = ejb(k-1)%erad + ((ejb(k)%erad - ejb(k-1)%erad) * frac) else logdelta = ejb(k + 1)%lrad - logtablerad frac = (loglrad - logtablerad) / logdelta - eradc = exp(ejb(k)%erad) - ((exp(ejb(k)%erad) - exp(ejb(k+1)%erad)) * frac) + eradc = ejb(k)%erad - ((ejb(k)%erad - ejb(k+1)%erad) * frac) end if if (eradc<=0.0_DP) then write(*,*) k,ebh,crater%ejdis,lrad,exp(ejb(k-1)%lrad),exp(ejb(k)%lrad),eradc,ejb(k-1)%erad,ejb(k)%erad stop end if - + ! ********* Calculate the height difference between two streamlines that define a stream tube with varying radial position ******* xl = xp - crater%xl yl = yp - crater%yl phi = atan(yl/xl) - !toti = ceiling((eradc * abs(xl)/lrad - 0.5_DP * user%pix) / user%pix) ! Refer to the definition of CTEM in ejecta_emplace.f90 - !totj = ceiling((eradc * abs(yl)/lrad - 0.5_DP * user%pix) / user%pix) ! toti = floor((eradc * abs(xl)/lrad) / user%pix) totj = floor((eradc * abs(yl)/lrad) / user%pix) ! *************************** Intersection points with grid lines ************************************************ @@ -156,44 +158,28 @@ subroutine regolith_streamtube(user,surf,crater,domain,ejb,ejtble,xp,yp,xpi,ypi, xints(cnt) = eradc * xl/lrad yints(cnt) = eradc * yl/lrad - !write(*,*) toti,totj ! 1) Intersect with vertical grid line: start to calculate the intersection point from the larger absolute value of i or j ! , and the quadrant of an intersection point will be recovered from the sign of yl or xl that is shifted to the coordinate ! centered by the center of a crater. Later, it will be shited back to the grid space by adding the location of ! a crater in pixel space. do j=totj,1,-1 - !yj = sign(1.0_DP,yl) * (real(j-1) * user%pix + 0.5_DP * user%pix) yj = sign(1.0_DP,yl) * (real(j) * user%pix) cnt = cnt + 1 xints(cnt) = yj/tan(phi) yints(cnt) = yj - !if (abs(phi) < VSMALL .or. (abs(phi) >= PI/2.0_DP - VSMALL .and. abs(phi) <= PI/2.0_DP + VSMALL) ) then - !if (totj == 0) then - ! write(*,*) 'y',phi,cnt,yj,xints(cnt),yints(cnt),sqrt(xints(cnt)**2 + yints(cnt)**2) - !end if end do do i=toti,1,-1 - !xi = sign(1.0_DP,xl) * (real(i-1) * user%pix + 0.5_DP * user%pix) xi = sign(1.0_DP,xl) * (real(i) * user%pix) cnt = cnt + 1 xints(cnt) = xi yints(cnt) = tan(phi) * xi - !if (abs(phi) < VSMALL .or. (abs(phi) >= PI/2.0_DP - VSMALL .and. abs(phi) <= PI/2.0_DP + VSMALL) ) then - ! write(*,*) 'x',phi,cnt,xi,xints(cnt),yints(cnt),sqrt(xints(cnt)**2 + yints(cnt)**2) - !end if end do cnt = cnt + 1 xints(cnt) = 0._DP yints(cnt) = 0._DP - - !if (lrad/1000.0<=1.0 .and. lrad/1000.0>=0.98) then - ! do i=cnt,1,-1 - ! write(*,*) lrad/1000.0,xints(i),yints(i),sqrt(xints(i)**2 + yints(i)**2) - ! end do - !end if ! ******* Sort those final intersection points by a difference of a radial distance of an intersection point ********* ! ******************************* Compare the radial distance of an intersected point ****************************** @@ -214,62 +200,19 @@ subroutine regolith_streamtube(user,surf,crater,domain,ejb,ejtble,xp,yp,xpi,ypi, end do end do - ! ******************************** Size of a tangential stream tube ********************************************** - ! Determine the radius of a tangential-shaped circule stream tube at the head of the stream tube - ! The ejecta blanket thickness data from CTEM will be used to constrain our tube, then two calibrated - ! streamlines will be given for estimation of thickness of a layer inside a stream tube - ! A cubic function is given after considering the constraint of ejecta blanket thickness by CTEM, so the cubic - ! function's solution is based on Nmuerical Recipe: Fortran 77, p.178-200, which is believed in a optimized way to do so! - ! The total volume of a stream tube is given: - ! Vst = (0.25_DP * PI * deltar**2 * a**2 * eradi / b *(tan(b)-b)) + sqrt(2.0_DP)/2.0_DP*PI*deltar**3 - - k1 = PI * (0.5 * a)**2 * (tan(b) - b) - k2 = ebh * (user%pix)**2 - k3 = eradc/b - k4 = sqrt(3.0_DP)/2.0_DP * PI - k1/b - c1 = k1 * k3 /k4 - c2 = k2/k4 - deltar = regolith_cubic_func(c1,c2) + ! Purpose 1: Calculate the size of a stream tube constrained by ejecta thickness + ! Purpose 2: Once we have the size information of a stream tube, we can + ! calculate the distal melt: the precursor of glass spherules within a + ! stream tube. The result is contained in a linked list "newlayer". + call regolith_melt_glass(user,crater,age,age_resolution,ebh,rm,eradc,lrad,deltar,newlayer,xmints) erado = eradc + deltar eradi = eradc - deltar - !if (deltar <= VSMALL) write(*,*) crater%frad,lrad/crater%frad,eradc,deltar,ebh,k1,k2,k3,k4,c1,c2 - - ! Comparison with melt zone's radius - !write(*,*) lrad / crater%frad, eradi, erado, deltar - - - ! ******************************* Start to estimate STREAM TUBE'S volume in layering systerm *************************** - ! Purpose: How much layer material are contained in a stream tube? - ! Intro: There are two volume approximation with regarding to discretized stream tubes. First, the subpixel approximation - ! is important to distal landing ejecta, and the advantage of it is that you can use Maxwell Z model equation to calculate - ! the total volume of a stream tube if it is contained inside the whole layer. For the small craters or subpixel craters, - ! this method will be used frequently. + age_collector(:) = 0.0_SP + vol = 0.0_DP + totmare = 0.0_DP + tots = 0.0_DP - vst = (0.25_DP * PI * deltar**2 * a**2 * eradi / b *(tan(b)-b)) + sqrt(2.0_DP)/2.0_DP*PI*deltar**3 - - ! Fresh melt's calculation - depthb = crater%imp / 2.0 - rints = sqrt(rm**2 - (depthb)**2) - cosvints = eradi / (crater%imp + eradi) - sinvints = sqrt(1.0 - cosvints**2) - xvints = eradi * ( 1.0 - cosvints) * sinvints - volv1 = ( 0.25_DP * PI * deltar**2 * a**2 * eradi / b * (tan(b/eradi*(xvints))-b/eradi*(xvints)) ) - if (eradi <= rints) then - volm1 = vst - volv1 - melt = volm1 - newlayer%meltfrac = 1.0 - else if (eradi > rints) then - q1 = 1.0 / (1.0 + 2.0 * depthb / eradi) - q2 = -1.0 - 1.0/q1 - q3 = ( 1.0 + (depthb**2 - rm**2)/eradi**2 ) * q1 - cosq1 = 0.5 * q1 * (-1.0 * q2 + sqrt(q2**2 - 4.0 * q3/q1)) - cosq2 = 0.5 * q1 * (-1.0 * q2 - sqrt(q2**2 - 4.0 * q3/q1)) - thetaq = acos( min(abs(cosq1),abs(cosq2)) ) - xmints = eradi * (1.0 - cos(thetaq)) * sin(thetaq) - volm1 = ( 0.25_DP * PI * deltar**2 * a**2 * eradi / b * (tan(b/eradi*(xmints))-b/eradi*(xmints)) ) - melt = volm1 - volv1 - newlayer%meltfrac = melt/(vst-volv1) - end if + call regolith_shock_damage_zone(crater,rm,eradi,depthb,xsfints) if (eradc <= user%pix) then @@ -279,30 +222,34 @@ subroutine regolith_streamtube(user,surf,crater,domain,ejb,ejtble,xp,yp,xpi,ypi, ystpi = crater%ylpx + nint(yc/user%pix) ri = sqrt(xints(2)**2 + yints(2)**2) rip1 = sqrt(xints(1)**2 + yints(1)**2) - vseg = 0.25_DP * PI * deltar**2 * a**2 * eradi / b * abs(tan(b) - b) + vseg = regolith_streamtube_volume_func(eradi,0.0_DP,eradi,deltar) + newlayer%thickness = vseg/(user%pix**2) call util_periodic(xstpi,ystpi,user%gridsize) - call regolith_subpixel_streamtube(user,surf(xstpi,ystpi),deltar,ri,rip1,eradi,vseg,newlayer,rm) - newlayer%comp = newlayer%comp / newlayer%thickness + call regolith_subpixel_streamtube(user,surf(xstpi,ystpi),deltar,ri,rip1,eradi,newlayer,vmare,totseb,& + age_collector,xmints,xsfints,vol) + + newlayer%age(:) = newlayer%age(:) + age_collector(:) + + totmare = vmare + tots = totseb newlayer%thickness = ebh + newlayer%comp = min(totmare/tots, 1.0_DP) + newlayer%age(:) = newlayer%age(:) * min( (ebh * user%pix**2) / tots, 1.0_DP) else - ! Define a regodata typed layer that is able to sum up all components during travesing a stream tube - sumlayer%thickness = 0._DP - sumlayer%comp = 0._DP - sumlayer%meltfrac = 0._DP - rbody = sqrt(xints(2)**2 + yints(2)**2) if (rbodyuser%pix/1000000.0) then - vseg = 0.25_DP * PI * deltar**2 * a**2 * eradi / b * (abs(tan(b/eradi * rip1) - tan(b/eradi * ri)) & - - abs(b/eradi * rip1 - b/eradi * ri)) + vseg = regolith_streamtube_volume_func(eradi,ri,rip1,deltar) + newlayer%thickness = vseg/(user%pix**2) call util_periodic(xstpi,ystpi,user%gridsize) - call regolith_traverse_streamtube(user,surf(xstpi,ystpi),deltar,ri,rip1,eradi,erado,vseg,newlayer,rm) - sumlayer%comp = sumlayer%comp + newlayer%comp - sumlayer%thickness = sumlayer%thickness + newlayer%thickness + call regolith_traverse_streamtube(user,surf(xstpi,ystpi),deltar,ri,rip1,eradi,erado,newlayer,vmare,& + totseb,age_collector,xmints,xsfints,rsh,depthb) + totmare = totmare + vmare + tots = tots + totseb end if end do - newlayer%thickness = 0._DP - newlayer%comp = 0._DP xstpi = crater%xlpx + nint(eradc*xl/lrad/user%pix) ystpi = crater%ylpx + nint(eradc*yl/lrad/user%pix) call util_periodic(xstpi,ystpi,user%gridsize) - call regolith_streamtube_head(user,surf(xstpi,ystpi),deltar,newlayer,eradi,rm) - sumlayer%comp = sumlayer%comp + newlayer%comp - sumlayer%thickness = sumlayer%thickness + newlayer%thickness - newlayer%comp = sumlayer%comp / sumlayer%thickness + call regolith_streamtube_head(user,surf(xstpi,ystpi),deltar,totmare,tots,age_collector) + newlayer%thickness = ebh + newlayer%comp = min(totmare/tots, 1.0_DP) + newlayer%age(:) = newlayer%age(:) + age_collector(:) + newlayer%age(:) = newlayer%age(:) * min( (ebh * user%pix**2) / tots, 1.0_DP) end if call util_push(surf(xpi,ypi)%regolayer,newlayer) + deallocate(xints,yints) return diff --git a/src/regolith/regolith_streamtube_head.f90 b/src/regolith/regolith_streamtube_head.f90 index 9cef521b..7624d742 100644 --- a/src/regolith/regolith_streamtube_head.f90 +++ b/src/regolith/regolith_streamtube_head.f90 @@ -18,8 +18,7 @@ ! Notes : The stream tube's head is always attached to the surface. ! !********************************************************************************************************************************** -subroutine regolith_streamtube_head(user,surfi,deltar,newlayer,eradi,rm) -!subroutine regolith_streamtube_head(user,surfi,deltar,totmare,tots,turnover) +subroutine regolith_streamtube_head(user,surfi,deltar,totmare,tots,age_collector) use module_globals use module_regolith, EXCEPT_THIS_ONE => regolith_streamtube_head implicit none @@ -27,9 +26,9 @@ subroutine regolith_streamtube_head(user,surfi,deltar,newlayer,eradi,rm) type(usertype),intent(in) :: user type(surftype),intent(in) :: surfi real(DP),intent(in) :: deltar - type(regodatatype),intent(inout) :: newlayer - real(DP),intent(in) :: eradi,rm - + real(DP),intent(inout) :: totmare,tots + real(SP),dimension(:),intent(inout) :: age_collector + ! internal variables type(regolisttype),pointer :: current real(DP),parameter :: vratio = sqrt(2.0_DP)/2.0_DP ! Unfortunately, the approximate function that is used to get the size of a stream @@ -37,49 +36,54 @@ subroutine regolith_streamtube_head(user,surfi,deltar,newlayer,eradi,rm) ! from the analytical function that we use here to approximate the stream tube's ! head intersected with underlying layers, about 30% of volume difference. real(DP) :: z,zstart,zend,zmin,zmax - real(DP) :: headtot,headcomp,headmelt,vhead,vsgly + real(DP) :: tothead,totmarehead,marehead,vhead,vsgly + + ! melt collector + real(DP) :: recyratio current => surfi%regolayer z = current%regodata%thickness vsgly = vratio * PI * deltar**3 + tothead = 0._DP + totmarehead = 0._DP + vhead = 0._DP + marehead = 0.0_DP zstart = 0._DP zend = z zmin = zstart zmax = 2.0 * deltar if (zend >= zmax) then ! Stream tube's head is inside the 1st layer. - - newlayer%thickness = newlayer%thickness + vsgly - newlayer%comp = newlayer%comp + vsgly * current%regodata%comp - + tots = tots + vsgly + totmare = totmare + vsgly * current%regodata%comp + recyratio = vsgly / (user%pix**2) /current%regodata%thickness + age_collector(:) = age_collector(:) + current%regodata%age(:) * recyratio else ! head is not intersected with layers. - headtot = 0._DP - headcomp = 0._DP - headmelt = 0._DP - vhead = 0._DP - do if (.not. associated(current%next)) exit if (zend < zmax) then vhead = regolith_circle_sector_func(deltar,zstart,zend) - headtot = headtot + vhead * vratio - headcomp = headcomp + vhead * vratio * current%regodata%comp + tothead = tothead + vhead * vratio + totmarehead = totmarehead + vhead * vratio * current%regodata%comp + recyratio = vhead * vratio / (user%pix**2) / current%regodata%thickness + age_collector(:) = age_collector(:) + current%regodata%age(:) * recyratio current => current%next z = z + current%regodata%thickness zstart = zend zend = z else - headcomp = headcomp + (vsgly-headtot) * current%regodata%comp - headtot = vsgly - !write(*,*) '2',zstart,zend,current%comp,(vsgly-tothead)/2500.0,totmarehead/2500.0,tothead/2500.0 + totmarehead = totmarehead + (vsgly-tothead) * current%regodata%comp + tothead = vsgly + recyratio = (vsgly - tothead) / (user%pix**2) / current%regodata%thickness + age_collector(:) = age_collector(:) + current%regodata%age(:) * recyratio exit end if end do - newlayer%thickness = newlayer%thickness + headtot - newlayer%comp = newlayer%comp + headcomp + tots = tots + tothead + totmare = totmare + totmarehead end if diff --git a/src/regolith/regolith_streamtube_lineseg.f90 b/src/regolith/regolith_streamtube_lineseg.f90 index f1070747..e859f468 100644 --- a/src/regolith/regolith_streamtube_lineseg.f90 +++ b/src/regolith/regolith_streamtube_lineseg.f90 @@ -18,23 +18,32 @@ ! Notes : ! !********************************************************************************************************************************** -subroutine regolith_streamtube_lineseg(user,surfi,thetast,ri,rip1,zmin,zmax,erad,eradi,deltar,vseg,newlayer,rm) +subroutine regolith_streamtube_lineseg(user,surfi,thetast,ri,rip1,zmin,zmax,erad,eradi,deltar,newlayer,vmare,totseb,& + age_collector,xmints,xsfints,depthb) use module_globals use module_regolith, EXCEPT_THIS_ONE => regolith_streamtube_lineseg implicit none ! arguemnts type(usertype),intent(in) :: user type(surftype),intent(in) :: surfi - real(DP),intent(in) :: thetast,ri,rip1,zmin,zmax,erad,eradi,deltar,vseg,rm + real(DP),intent(in) :: thetast,ri,rip1,zmin,zmax,erad,eradi,deltar type(regodatatype),intent(inout) :: newlayer + real(DP),intent(inout) :: vmare,totseb + real(SP),dimension(:),intent(inout) :: age_collector + real(DP),intent(in) :: xmints + real(DP),intent(in) :: xsfints, depthb ! internal variables - real(DP),parameter :: a = 0.936457 - real(DP),parameter :: b = 1.12368 type(regolisttype),pointer :: current real(DP) :: z,zstart,zend,rstart,rend,r - real(DP) :: vsgly + real(DP) :: vsgly,x,vseg, vsh + ! Melt zone + real(DP) :: recyratio, xsh, rst + real(DP) :: theta1, theta2, r1, r2, vol + ! Shock damaged zone + real(DP) :: ebh_recyl + current => surfi%regolayer z = current%regodata%thickness zstart = 0.0_DP @@ -48,42 +57,95 @@ subroutine regolith_streamtube_lineseg(user,surfi,thetast,ri,rip1,zmin,zmax,erad rend = rip1 end if + vol = 0.0_DP + do if (.not. associated(current%next)) exit !it should exit until it hit the very bottom. if (zend <= zmin) then + if (zmax <= zend + current%next%regodata%thickness) then - newlayer%thickness = vseg - newlayer%comp = vseg * current%next%regodata%comp + + vsgly = newlayer%thickness * user%pix**2 + vmare = vsgly * current%next%regodata%comp + totseb = vsgly + + if (ri > xmints) then + vsh = regolith_shock_damage(eradi,deltar,xmints,xsfints,ri,rip1) + ebh_recyl = (1.0 - newlayer%meltfrac) * newlayer%thickness - vsh / user%pix**2 + recyratio = max(ebh_recyl,0.0_DP) / current%next%regodata%thickness + age_collector(:) = age_collector(:) + current%next%regodata%age(:) * recyratio + vol = vol + sum(current%next%regodata%age(:)) * recyratio + else if (ri <= xmints .and. rip1 > xmints) then + vseg = regolith_streamtube_volume_func(eradi,xmints,rip1,deltar) + vsh = regolith_shock_damage(eradi,deltar,xmints,xsfints,ri,rip1) + recyratio = max((vseg-vsh),0.0_DP) / (user%pix**2) / current%next%regodata%thickness + age_collector(:) = age_collector(:) + current%next%regodata%age(:) * recyratio + vol = vol + sum(current%next%regodata%age(:)) * recyratio + end if exit else + current => current%next z = z + current%regodata%thickness zstart = zend zend = z + end if + else if (zend > zmin .and. zend < zmax) then - rend = regolith_quadratic_func(zend,erad,ri,rip1,rstart) - vsgly = 0.25_DP * PI * deltar**2 * a**2 * eradi / b * (abs(tan(b/eradi * rend) & - - tan(b/eradi * rstart)) - abs(b/eradi * rend - b/eradi * rstart)) - newlayer%thickness = newlayer%thickness + vsgly - newlayer%comp = newlayer%comp + vsgly * current%regodata%comp + rend = regolith_quadratic_func(zend,erad,ri,rip1,rstart) + vsgly = regolith_streamtube_volume_func(eradi,rstart,rend,deltar) + vmare = vmare + vsgly * current%regodata%comp + totseb = totseb + vsgly + + ! A segment coming from the side of impact site, ri + if (thetast>=0_DP .and. rend > xmints) then + vseg = regolith_streamtube_volume_func(eradi,max(xmints,rstart),rend,deltar) + vsh = regolith_shock_damage(eradi,deltar,xmints,xsfints,rstart,rend) + recyratio = max((vseg-vsh),0.0_DP) / (user%pix**2) / current%regodata%thickness + age_collector(:) = age_collector(:) + current%regodata%age(:) * recyratio + vol = vol + sum(current%regodata%age(:)) * recyratio + end if + + ! A segment coming from the side of emerging location of a streamtube rip1 + if (thetast<0._DP .and. rstart > xmints) then + vseg = regolith_streamtube_volume_func(eradi,max(xmints,rend),rstart,deltar) + vsh = regolith_shock_damage(eradi,deltar,xmints,xsfints,rend,rstart) + recyratio = max((vseg-vsh),0.0_DP) / (user%pix**2) / current%regodata%thickness + age_collector(:) = age_collector(:) + current%regodata%age(:) * recyratio + vol = vol + sum(current%regodata%age(:)) * recyratio + end if current => current%next z = z + current%regodata%thickness r = rstart rstart = rend zstart = zend zend = z + else if (zend >= zmax .and. zstart <= zmin) then - newlayer%thickness = vseg - newlayer%comp = vseg * current%regodata%comp + + vsgly = newlayer%thickness * user%pix**2 + vmare = vsgly * current%regodata%comp + totseb = vsgly + + if (rip1 > xmints) then + vseg = regolith_streamtube_volume_func(eradi,max(xmints,ri),rip1,deltar) + vsh = regolith_shock_damage(eradi,deltar,xmints,xsfints,ri,rip1) + recyratio = max((vseg-vsh),0.0_DP) / (user%pix**2) / current%regodata%thickness + age_collector(:) = age_collector(:) + current%regodata%age(:) * recyratio + vol = vol + sum(current%regodata%age(:)) * recyratio + end if + exit + else if (zend >= zmax .and. zstart > zmin) then - ! last part of a stream tube - newlayer%comp = newlayer%comp + (vseg - newlayer%thickness) * current%regodata%comp - newlayer%thickness = vseg + ! last part of a stream tube + vsgly = regolith_streamtube_volume_func(eradi,ri,rip1,deltar) + vmare = vmare + (vsgly - totseb) * current%regodata%comp + totseb = vsgly exit end if diff --git a/src/regolith/regolith_streamtube_volume_func.f90 b/src/regolith/regolith_streamtube_volume_func.f90 new file mode 100644 index 00000000..5200e6be --- /dev/null +++ b/src/regolith/regolith_streamtube_volume_func.f90 @@ -0,0 +1,64 @@ +!****f* regolith/regolith_streamtube_volume_func +! Name +! regolith_streamtube_volume_func -- Calculate the volume of a segment of a stream tube +! SYNOPSIS +! This uses +! * module_globals +! * module_regolith +! +! volume = regolith_streamtube_volume_func() +! +! DESCRIPTION +! +! This function is used very frequently if "doregotrack" is turned +! on. As a a result, we separated it into an independent function. +! +! ARGUMENTS +! Input +! * user -- The user-defined variables from the input file +! * surfi -- A given pixel from surface grid +! * deltar -- The size of a stream tube +! * ri -- A point of a stream tube's projection on surface grid +! * rip1 -- A point of a stream tube's projection on surface grid +! * eradi -- The inner radial distance of a stream tube +! +! Output +! * newlayer -- +! +!*** + +!********************************************************************************************************** +! +! Unit Name : regolith_streamtube_volume_func +! Unit Type : function +! Project : CTEM +! Language : Fortran 2003 +! +! Description : Calculate the volume of a segment of stream tube +! +! +! Input +! Arguments : +! +! Output +! Arguments : surf :: surface +! +! +! Notes : +! +!*********************************************************************************************************** +function regolith_streamtube_volume_func(eradi,ri,rip1,deltar) result(vol) + use module_globals + use module_regolith, EXCEPT_THIS_ONE => regolith_streamtube_volume_func + implicit none + + real(DP), intent(in) :: eradi, ri, rip1, deltar + real(DP) :: vol + real(DP), parameter :: a = 0.936457 + real(DP), parameter :: b = 1.12368 + + vol = 0.25 * PI * (deltar**2) * (a**2) * eradi / b * abs( & + abs(tan(b/eradi * rip1) - (b/eradi) * rip1) - & + abs(tan(b/eradi * ri) - (b/eradi) * ri)) + +end function regolith_streamtube_volume_func diff --git a/src/regolith/regolith_subcrater_mix.f90 b/src/regolith/regolith_subcrater_mix.f90 index 25cf3ee0..c5f5e66f 100644 --- a/src/regolith/regolith_subcrater_mix.f90 +++ b/src/regolith/regolith_subcrater_mix.f90 @@ -36,6 +36,9 @@ subroutine regolith_subcrater_mix(user,surf,domain,nflux,finterval,p) real(DP) :: dd, ds !mixing depth for shallow and deep integer(I4B) :: klo, khi + ! Test age + real(SP) :: age_mean + ! Find the deepest depth for 100% true saturation klo = 1 ds = p(1,1) diff --git a/src/regolith/regolith_subpixel_streamtube.f90 b/src/regolith/regolith_subpixel_streamtube.f90 index 5b2458ef..57f30744 100644 --- a/src/regolith/regolith_subpixel_streamtube.f90 +++ b/src/regolith/regolith_subpixel_streamtube.f90 @@ -50,38 +50,62 @@ ! Notes : ! !********************************************************************************************************************************** -subroutine regolith_subpixel_streamtube(user,surfi,deltar,ri,rip1,eradi,vseg,newlayer,rm) +subroutine regolith_subpixel_streamtube(user,surfi,deltar,ri,rip1,eradi,newlayer,vmare,totseb,& + age_collector,xmints,xsfints,vol) use module_globals use module_regolith, EXCEPT_THIS_ONE => regolith_subpixel_streamtube implicit none ! Arguments type(usertype),intent(in) :: user - type(surftype),intent(inout) :: surfi - real(DP),intent(in) :: deltar,ri,rip1,eradi,vseg - type(regodatatype),intent(inout) :: newlayer - real(DP),intent(in) :: rm + type(surftype),intent(in) :: surfi + real(DP),intent(in) :: deltar,ri,rip1,eradi + type(regodatatype),intent(inout) :: newlayer + real(DP),intent(out) :: vmare,totseb + real(SP),dimension(:),intent(inout) :: age_collector + real(DP),intent(in) :: xmints + real(DP),intent(in) :: xsfints + real(DP),intent(inout) :: vol + ! Traversing a linked list real(DP),parameter :: a = 0.936457 real(DP),parameter :: b = 1.12368 type(regolisttype),pointer :: current - real(DP) :: z,zmax,zstart,zend,rlefti,rleftf,rrighti,rrightf,rc,vsgly,x + real(DP) :: z,zmax,zstart,zend,rlefti,rleftf,rrighti,rrightf,rc,vsgly,vsgly1,vsgly2,x + + ! Stream tube's distance from the edge of a melt zone + real(DP) :: zm, recyratio, xmints1, vseg + + ! Parameters for calculating shocked segment of stream tube + real(DP) :: x_up_sh, x_low_sh, vsh ! The depth that a stream tube dips zmax = rip1/4.0_DP - + current => surfi%regolayer z = surfi%regolayer%regodata%thickness zstart = 0.0_DP zend = z + vmare = 0._DP + totseb = 0._DP + vseg = 0.0_DP + vsgly1 = 0.0_DP + vsgly2 = 0.0_DP ! Two cases: subpixel is inside the first layer, and its volume is simply the landing ejecta blanket. if (zend>=zmax) then - - newlayer%thickness = vseg - newlayer%comp = vseg * surfi%regolayer%regodata%comp - + vmare = newlayer%thickness * user%pix**2 * surfi%regolayer%regodata%comp + totseb = newlayer%thickness * user%pix**2 + if (eradi>xmints) then + vseg = regolith_streamtube_volume_func(eradi,xmints,eradi,deltar) + vsh = regolith_shock_damage(eradi,deltar,xmints,xsfints,0.0_DP,eradi) + recyratio = max(vseg-vsh,0.0 )/ (user%pix**2) / (surfi%regolayer%regodata%thickness) + age_collector(:) = age_collector(:) + surfi%regolayer%regodata%age(:) * recyratio + vol = vol + sum(age_collector(:)) +! write(*,*) '1',eradi, xmints, xsfints, & +! vseg/user%pix**2, (vseg-vsh)/user%pix**2, recyratio + end if else ! The subpixel stream tube may dip deeper than the first layer. And we use the line segments approximation, but ! the layer now intersects with both sides of a stream tube, so two intersection points between the layer and the @@ -92,7 +116,7 @@ subroutine regolith_subpixel_streamtube(user,surfi,deltar,ri,rip1,eradi,vseg,new ! ** | | * * !-----*--------------------------------------------------------*----------------------------*--------------------- > z ! *| * * | - ! | * * | * + ! | * * | * rrightf ! | * * * | * ! | * * * | * ! | * | @@ -101,15 +125,14 @@ subroutine regolith_subpixel_streamtube(user,surfi,deltar,ri,rip1,eradi,vseg,new ! | * * | ! | * * | !^ ^ ^ ^ ^ - !0.0 rleftf rc rrighti eradi + !0.0 rleftf rc rrighti eradi + !rlefti rlefti = 0.0_DP rleftf = 0.0_DP rrighti = eradi rrightf = eradi rc = rip1 * sqrt(3.0) / 4.0 - newlayer%thickness = 0._DP - newlayer%comp = 0._DP do @@ -120,12 +143,47 @@ subroutine regolith_subpixel_streamtube(user,surfi,deltar,ri,rip1,eradi,vseg,new rleftf = regolith_quadratic_func(zend,rip1,rlefti,rc,rlefti) rrighti = regolith_quadratic_func(zend,rip1,rc,rrightf,rrightf) - vsgly = 0.25 * PI * deltar**2 * a**2 * eradi / b * (abs(tan(b/eradi * rleftf) + tan(b/eradi * rrightf)& - - tan(b/eradi * rlefti) - tan(b/eradi * rrighti)) - abs(b/eradi * rleftf + b/eradi * rrightf & - - b/eradi * rlefti - b/eradi * rrighti)) - - newlayer%comp = newlayer%comp + vsgly * current%regodata%comp - newlayer%thickness = newlayer%thickness + vsgly + vsgly1 = regolith_streamtube_volume_func(eradi,rlefti,rleftf,deltar) + vsgly2 = regolith_streamtube_volume_func(eradi,rrighti,rrightf,deltar) + vsgly = vsgly1 + vsgly2 + vmare = vmare + (vsgly * current%regodata%comp) + totseb = totseb + vsgly + + ! If this segmentr, intersecting with layer, is beyond "xmints" + ! (melt-and-streamline intersection point), a streamtube will retain + ! whatever it is in the layer. However, if this segment is completely + ! within shock fragmentation zone, then it would not retain. + ! Fragmentation subroutine only should place under the following two + ! if-then conditions for both segments. If a segment is not satisfied + ! with the following if-then conditions, it means that a segment is + ! inside the melt zone that is previously calculated in + ! "regolith_melt_glass" subroutine. Then next step is to examine how a + ! segment locates in our shock pressure decay zone. The rule of thumb + ! is a segment remaining the same volume no matter what it experiences + ! shock pressues. We should only examine how the ends of a streamtube's + ! segment locate inside our decay zone. In the first if-then condition, + ! it is to describe the segment closer to emerging location. Its ends + ! are "rrighti" and "rrightf". The volume is "vsgly2". The "xsh" is the + ! x-location of a current layer intersecting with shock pressure decay + ! zone. + ! 1) rrighti > xsh: no damage, retaining ratio (recyratio) is 1.0 + ! 2) rrighti < xsh < rrightf: partial damage, retaining ratio is + ! affected to be (vsgly2 - v_shocked) / vsgly2. + ! 3) rrightf < xsh: complete damage, retaining ratio is 0.0 + !if (rrighti>max(xmints,sqrt(rm**2 - z**2))) then + if (rrighti > xmints) then + vsh = regolith_shock_damage(eradi,deltar,xmints,xsfints,rrighti,rrightf) + recyratio = max((vsgly2 -vsh),0.0)/ (user%pix**2) / current%regodata%thickness + age_collector(:) = age_collector(:) + current%regodata%age(:) * recyratio + vol = vol + sum(current%regodata%age(:)) * recyratio + end if + + if (rlefti > xmints) then + vsh = regolith_shock_damage(eradi,deltar,xmints,xsfints,rlefti,rleftf) + recyratio = max((vsgly1-vsh),0.0) / (user%pix**2) / current%regodata%thickness + age_collector(:) = age_collector(:) + current%regodata%age(:) * recyratio + vol = vol + sum(current%regodata%age(:)) * recyratio + end if current => current%next z = z + current%regodata%thickness @@ -136,16 +194,14 @@ subroutine regolith_subpixel_streamtube(user,surfi,deltar,ri,rip1,eradi,vseg,new ! final part of a stream tube else vsgly = 0.25 * PI * deltar**2 * a**2 * eradi / b * (abs(tan(b) - b)) - newlayer%comp = newlayer%comp + (vsgly - newlayer%thickness) * current%regodata%comp - newlayer%thickness = vsgly + vmare = vmare + (vsgly - totseb) * current%regodata%comp + totseb = vsgly exit end if - end do - end if - call regolith_streamtube_head(user,surfi,deltar,newlayer,eradi,rm) + call regolith_streamtube_head(user,surfi,deltar,vmare,totseb,age_collector) return end subroutine regolith_subpixel_streamtube diff --git a/src/regolith/regolith_superdomain.f90 b/src/regolith/regolith_superdomain.f90 new file mode 100644 index 00000000..db4ff8aa --- /dev/null +++ b/src/regolith/regolith_superdomain.f90 @@ -0,0 +1,67 @@ +!********************************************************************************************************************************** +! +! Unit Name : regolith_superdomain +! Unit Type : subroutine +! Project : CTEM +! Language : Fortran 2003 +! +! Description : Softens the terrain under the ejecta using a box filter model where the size of the box is proportional to the +! thickness of the ejecta +! +! +! Input +! Arguments : +! +! Output +! Arguments : +! +! +! Notes : +! +!********************************************************************************************************************************** +subroutine regolith_superdomain(user,crater,domain,regolayer,ejdistribution,xpi,ypi,age,age_resolution,rm,depthb) + use module_globals + use module_util + use module_regolith, EXCEPT_THIS_ONE => regolith_superdomain + implicit none + + ! Arguments + type(usertype),intent(in) :: user + type(cratertype),intent(inout) :: crater + type(domaintype),intent(in) :: domain + type(regolisttype),pointer :: regolayer + real(DP),intent(in) :: ejdistribution + integer(I4B),intent(in) :: xpi, ypi + real(DP),intent(in) :: age + real(DP),intent(in) :: age_resolution + real(DP),intent(in) :: rm + real(DP),intent(in) :: depthb + + ! Internal variables + real(DP) :: xp, yp + real(DP) :: lrad, vej + real(DP) :: ebh + real(DP) :: erad + real(DP) :: cvpg + real(DP) :: deltar, xmints + type(regodatatype) :: newlayer + integer(I2B) :: n_age + + ! Interpret landing distance from a super domain crater to ray's deposits in + ! local domain + xp = dble(xpi) * user%pix + yp = dble(ypi) * user%pix + lrad = sqrt((crater%xl - xp)**2 + (crater%yl - yp)**2) + ebh = 0.14_DP * crater%frad**(0.74_DP) * (lrad / crater%frad)**(-3.0_DP) + ebh = ebh * ejdistribution + ! Estimate radial position of a stream tube + ! Assume streamlines' maximum depth is within regolith. + cvpg = sqrt(2.0_DP) / 0.85_DP * ( user%mu_b / (user%mu_b + 1) ) + erad = cvpg**(user%mu_b) * (lrad**(-0.5_DP * user%mu_b)) * (crater%rad)**(user%mu_b * 0.5_DP + 1.0_DP) + vej = cvpg * sqrt(user%gaccel * crater%grad) * (erad / crater%grad)**(-1.0_DP / user%mu_b) !equation 18 in Richardson 2009 + lrad = ( vej **2 ) / user%gaccel !assume ejection angle is 45 degree. + call regolith_melt_glass(user,crater,age,age_resolution,ebh,rm,erad,lrad,deltar,newlayer,xmints) + call util_push(regolayer,newlayer) + + return +end subroutine regolith_superdomain diff --git a/src/regolith/regolith_traverse_streamtube.f90 b/src/regolith/regolith_traverse_streamtube.f90 index a89b1e24..1dbe640d 100644 --- a/src/regolith/regolith_traverse_streamtube.f90 +++ b/src/regolith/regolith_traverse_streamtube.f90 @@ -18,7 +18,8 @@ ! Notes : ! !********************************************************************************************************************************** -subroutine regolith_traverse_streamtube(user,surfi,deltar,ri,rip1,eradi,erado,vseg,newlayer,rm) +subroutine regolith_traverse_streamtube(user,surfi,deltar,ri,rip1,eradi,erado,newlayer,vmare,totseb,& + age_collector,xmints,xsfints,depthb) use module_globals use module_regolith, EXCEPT_THIS_ONE => regolith_traverse_streamtube implicit none @@ -26,12 +27,25 @@ subroutine regolith_traverse_streamtube(user,surfi,deltar,ri,rip1,eradi,erado,vs ! Arguments type(usertype),intent(in) :: user type(surftype),intent(inout) :: surfi - real(DP),intent(in) :: deltar,ri,rip1,eradi,erado,vseg,rm + real(DP),intent(in) :: deltar,ri,rip1,eradi,erado type(regodatatype),intent(inout) :: newlayer + real(DP),intent(out) :: vmare,totseb + real(SP),dimension(:),intent(inout) :: age_collector + real(DP),intent(in) :: xmints + real(DP),intent(in) :: xsfints, depthb ! Traversing a linked list real(DP) :: zri,zrip1,cosi,coso,rzmax - real(DP) :: erad,z,zmin,zmax,thetast + real(DP) :: erad,z,zmin,zmax,thetast,vseg + + real(DP),parameter :: a = 0.936457 + real(DP),parameter :: b = 1.12368 + + ! Melt zone + real(DP) :: recyratio + + ! Shock zone + real(DP) :: vsh erad = (eradi + erado)/2.0 rzmax = erad * sqrt(3.0)/4.0 @@ -50,17 +64,24 @@ subroutine regolith_traverse_streamtube(user,surfi,deltar,ri,rip1,eradi,erado,vs end if z = surfi%regolayer%regodata%thickness + vmare = 0._DP + totseb = 0._DP if (z>=zmax) then - newlayer%thickness = vseg - newlayer%comp = vseg * surfi%regolayer%regodata%comp + vmare = newlayer%thickness * user%pix**2 * surfi%regolayer%regodata%comp + totseb = newlayer%thickness * user%pix**2 + if (rip1 > xmints .and. ri < xmints) then + vseg = regolith_streamtube_volume_func(eradi,max(xmints,ri),rip1,deltar) + vsh = regolith_shock_damage(eradi,deltar,xmints,xsfints,ri,rip1) + recyratio = max(vseg-vsh,0.0_DP) / (user%pix**2) / surfi%regolayer%regodata%thickness + age_collector(:) = age_collector(:) + surfi%regolayer%regodata%age(:) * recyratio + end if else - newlayer%thickness = 0._DP - newlayer%comp = 0._DP - call regolith_streamtube_lineseg(user,surfi,thetast,ri,rip1,zmin,zmax,erad,eradi,deltar,vseg,newlayer,rm) + call regolith_streamtube_lineseg(user,surfi,thetast,ri,rip1,zmin,zmax,erad,eradi,deltar,& + newlayer,vmare,totseb,age_collector,xmints,xsfints,depthb) end if diff --git a/src/util/module_util.f90 b/src/util/module_util.f90 index bb20e811..eb0236e8 100644 --- a/src/util/module_util.f90 +++ b/src/util/module_util.f90 @@ -103,7 +103,7 @@ subroutine util_sort_layer(user,surf,crater) use module_globals implicit none type(usertype),intent(in) :: user - type(surftype),dimension(:,:),intent(in) :: surf + type(surftype),dimension(:,:),intent(inout) :: surf type(cratertype),intent(in) :: crater end subroutine util_sort_layer end interface @@ -135,37 +135,37 @@ end function util_rootbracketed interface util_search - subroutine util_search_double(arr,ind,n,val,k) + subroutine util_search_double(arr,ind,n,val,klo) use module_globals implicit none integer(I4B),intent(in) :: ind,n real(DP),dimension(:,:),intent(in) :: arr real(DP),intent(in) :: val - integer(I4B),intent(out) :: k + integer(I4B),intent(inout) :: klo end subroutine util_search_double - subroutine util_search_double_1(arr,ind,n,val,k) + subroutine util_search_double_1(arr,ind,n,val,klo) use module_globals implicit none integer(I4B),intent(in) :: ind,n real(DP),dimension(:),intent(in) :: arr real(DP),intent(in) :: val - integer(I4B),intent(out) :: k + integer(I4B),intent(inout) :: klo end subroutine util_search_double_1 - subroutine util_search_int(arr,ind,n,val,k) + subroutine util_search_int(arr,ind,n,val,klo) use module_globals implicit none integer(I4B),intent(in) :: ind,n integer(I4B),dimension(:,:),intent(in) :: arr integer(I4B),intent(in) :: val - integer(I4B),intent(out) :: k + integer(I4B),intent(inout) :: klo end subroutine util_search_int end interface util_search interface util_periodic - subroutine util_periodic(x,y,side) + pure subroutine util_periodic(x,y,side) use module_globals implicit none integer(I4B),intent(inout) :: x,y diff --git a/src/util/util_init_list.f90 b/src/util/util_init_list.f90 index 2159497d..672f9c11 100644 --- a/src/util/util_init_list.f90 +++ b/src/util/util_init_list.f90 @@ -54,7 +54,7 @@ ! layer. ! !********************************************************************************************************************************** -subroutine util_init_list(regolayer, initstat) +subroutine util_init_list(regolayer,initstat) use module_globals use module_util, EXCEPT_THIS_ONE => util_init_list implicit none @@ -74,11 +74,10 @@ subroutine util_init_list(regolayer, initstat) initstat = .true. nullify(regolayer%next) regolayer%regodata%thickness = VBIG ! This generates a buffer layer that the model should never reach if the run is structured properly - regolayer%regodata%comp = 0.0_DP - regolayer%regodata%meltfrac = 0.0_DP - regolayer%regodata%porosity = 0.07_DP ! This is also the initial bedrock porosity, Should be in the input file. - regolayer%regodata%depth = - 30000.0_DP ! The depth at the boundary of the crust. - ! This must be defined in the input file. But not in this version. + regolayer%regodata%comp = 0.0_DP + regolayer%regodata%meltfrac = 0.0_DP + regolayer%regodata%porosity = 0.0_DP + regolayer%regodata%age(:) = 0.0_SP else write(*,*) 'util_init_list: Initialization failed. Exhausted memory.' end if @@ -87,4 +86,5 @@ subroutine util_init_list(regolayer, initstat) end if return -end subroutine util_init_list \ No newline at end of file +end subroutine util_init_list + diff --git a/src/util/util_periodic.f90 b/src/util/util_periodic.f90 index 40387f64..c2a4ea44 100644 --- a/src/util/util_periodic.f90 +++ b/src/util/util_periodic.f90 @@ -18,7 +18,7 @@ ! Notes : ! !********************************************************************************************************************************** -subroutine util_periodic(x,y,side) +pure subroutine util_periodic(x,y,side) use module_globals use module_util, EXCEPT_THIS_ONE => util_periodic implicit none diff --git a/src/util/util_traverse_pop.f90 b/src/util/util_traverse_pop.f90 index 987e915d..cefa3d95 100755 --- a/src/util/util_traverse_pop.f90 +++ b/src/util/util_traverse_pop.f90 @@ -67,7 +67,8 @@ subroutine util_traverse_pop(regolayer,traverse_depth,poppedlist) ! Internal variables real(DP) :: z,depth,dz type(regodatatype) :: oldregodata - logical :: initstat + logical :: initstat + real(DP) :: recyratio depth = regolayer%regodata%thickness dz = 0._DP @@ -88,9 +89,12 @@ subroutine util_traverse_pop(regolayer,traverse_depth,poppedlist) if (z <= depth) then dz = depth - z + oldregodata = regolayer%regodata + oldregodata%thickness = z + oldregodata%age(:) = z / regolayer%regodata%thickness * regolayer%regodata%age(:) + recyratio = dz / regolayer%regodata%thickness + regolayer%regodata%age(:) = recyratio * regolayer%regodata%age(:) regolayer%regodata%thickness = dz - oldregodata = regolayer%regodata - oldregodata%thickness = z call util_push(poppedlist,oldregodata) exit else diff --git a/test/NPF.plt b/test/NPF.plt new file mode 100644 index 00000000..e1c747a3 --- /dev/null +++ b/test/NPF.plt @@ -0,0 +1,105 @@ +#gnuplot 5.0 script +# The Neukum production function +# Ivanov, Neukum, and Hartmann (2001) SSR v. 96 pp. 55-86 +# N1 is number of 1 km craters and larger per km^2 vs. time (T) +# N is number of craters per Gy vs. diameter (D) (Neukum et al. (2001), page 60: per km^2?) +# T is Gy +# D is km +# scale factor in time T is N1(T)/N(1.0) + +N1lunar(T) = 5.44e-14 * (exp(6.93*T) - 1) + 8.38e-4*T + +# Lunar crater SFD +aL00 = -3.0876 +aL01 = -3.557528 +aL02 = 0.781027 +aL03 = 1.021521 +aL04 = -0.156012 +aL05 = -0.444058 +aL06 = 0.019977 +aL07 = 0.086850 +aL08 = -0.005874 +aL09 = -0.006809 +aL10 = 8.25e-4 +aL11 = 5.54e-5 + +Nlunar(D) = D < 0.01 ? 1/0 : D > 1000 ? 1/0 : 10**( \ + aL00 \ + + aL01 * log10(D)**1 \ + + aL02 * log10(D)**2 \ + + aL03 * log10(D)**3 \ + + aL04 * log10(D)**4 \ + + aL05 * log10(D)**5 \ + + aL06 * log10(D)**6 \ + + aL07 * log10(D)**7 \ + + aL08 * log10(D)**8 \ + + aL09 * log10(D)**9 \ + + aL10 * log10(D)**10 \ + + aL11 * log10(D)**11 ) + +#Projectile SFD + +aP00 = 0.0 +aP01 = -1.375458 +aP02 = 1.272521e-1 +aP03 = -1.282166 +aP04 = -3.074558e-1 +aP05 = 4.149280e-1 +aP06 = 1.910668e-1 +aP07 = -4.260980e-2 +aP08 = -3.976305e-2 +aP09 = -3.180179e-3 +aP10 = 2.799369e-3 +aP11 = 6.892223e-4 +aP12 = 2.614385e-6 +aP13 = -1.416178e-5 +aP14 = -1.191124e-6 + +Rproj(D) = D < 1e-4 ? 1/0 : D > 300 ? 1/0 : 10**( \ + aP00 \ + + aP01 * log10(D)**1 \ + + aP02 * log10(D)**2 \ + + aP03 * log10(D)**3 \ + + aP04 * log10(D)**4 \ + + aP05 * log10(D)**5 \ + + aP06 * log10(D)**6 \ + + aP07 * log10(D)**7 \ + + aP08 * log10(D)**8 \ + + aP09 * log10(D)**9 \ + + aP10 * log10(D)**10 \ + + aP11 * log10(D)**11 \ + + aP12 * log10(D)**12 \ + + aP13 * log10(D)**13 \ + + aP14 * log10(D)**14 ) + + +# Mars crater SFD +# Ivanov (2001) SSR v. 96 pp. 87-104 +aM00 = -3.384 +aM01 = -3.197 +aM02 = 1.257 +aM03 = 0.7915 +aM04 = -0.4861 +aM05 = -0.3630 +aM06 = 0.1016 +aM07 = 6.756e-2 +aM08 = -1.181e-2 +aM09 = -4.753e-3 +aM10 = 6.233e-4 +aM11 = 5.805e-5 + +N1mars(T) = 2.68e-14 * (exp(6.93*T) - 1) + 4.13e-4*T + +Nmars(D) = D < 0.01 ? 1/0 : D > 1000 ? 1/0 : 10**( \ + aM00 \ + + aM01 * log10(D)**1 \ + + aM02 * log10(D)**2 \ + + aM03 * log10(D)**3 \ + + aM04 * log10(D)**4 \ + + aM05 * log10(D)**5 \ + + aM06 * log10(D)**6 \ + + aM07 * log10(D)**7 \ + + aM08 * log10(D)**8 \ + + aM09 * log10(D)**9 \ + + aM10 * log10(D)**10 \ + + aM11 * log10(D)**11 ) diff --git a/test/Plottingya b/test/Plottingya new file mode 100755 index 00000000..b6166e9b --- /dev/null +++ b/test/Plottingya @@ -0,0 +1,20 @@ +#!/bin/csh + +#http://hamelot.io/visualization/using-ffmpeg-to-convert-a-set-of-images-into-a-video/ +module load idl + +@ count = 1 +set cnt = 1 +foreach file (agetop0*) +@ cnt = $count +sed '2 i\ncount='`printf %d $count`'' tem.pro > tem1.pro +sed -e 's/INFILE/agetop'`printf %06d $cnt`'/' tem1.pro > tem2.pro +idl < tem.in +idl < run.in +rm tem1.pro tem2.pro +@ count++ +end + +cd agetop +module load ffmpeg +ffmpeg -f image2 -r 10 -i ./agetop%06d.jpg ./out.mp4 diff --git a/idl/Robbins2014-A15-FassettCounts-binned.dat b/test/Robbins2014-A15-FassettCounts-binned.dat similarity index 100% rename from idl/Robbins2014-A15-FassettCounts-binned.dat rename to test/Robbins2014-A15-FassettCounts-binned.dat diff --git a/test/agetop.dat b/test/agetop.dat new file mode 100644 index 00000000..404c1037 Binary files /dev/null and b/test/agetop.dat differ diff --git a/idl/cleanup b/test/cleanup similarity index 77% rename from idl/cleanup rename to test/cleanup index 0b9c6ea3..ba870cc9 100755 --- a/idl/cleanup +++ b/test/cleanup @@ -3,12 +3,7 @@ rm console/console*.jpg rm surf/surf*.jpg rm rego/rego*.jpg rm shaded/shaded*.jpg -rm dist/odist_*.dat -rm dist/tdist_*.dat -rm dist/pfunc_*.dat -rm dist/ocum_*.dat -rm dist/tcum_*.dat -rm dist/mass_*.dat +rm dist/*.dat rm misc/ctem_*.dat rm presentation/presentation*.jpg rm surface_*.dat @@ -25,3 +20,9 @@ rm frames/* rm impactmass.dat rm fracdone.dat rm regolithdepth.dat +rm agedepth* +rm *top*.dat +rm newsuper* +rm loc* +rm surface* +rm comphisto* diff --git a/test/comptop.dat b/test/comptop.dat new file mode 100644 index 00000000..404c1037 Binary files /dev/null and b/test/comptop.dat differ diff --git a/test/craterscale.dat b/test/craterscale.dat new file mode 100644 index 00000000..c5982cdf --- /dev/null +++ b/test/craterscale.dat @@ -0,0 +1,2690 @@ +#Dimp(m) Dcrat(m) + 1.0069363000E-06 1.4688822571E-03 + 1.0171073000E-06 1.4805065633E-03 + 1.0273811000E-06 1.4922229331E-03 + 1.0377587000E-06 1.5040320511E-03 + 1.0482411000E-06 1.5159345962E-03 + 1.0588294000E-06 1.5279313547E-03 + 1.0695247000E-06 1.5400231063E-03 + 1.0803280000E-06 1.5522105115E-03 + 1.0912404000E-06 1.5644943377E-03 + 1.1022630000E-06 1.5768753457E-03 + 1.1133970000E-06 1.5893544021E-03 + 1.1246434000E-06 1.6019321425E-03 + 1.1360034000E-06 1.6146094203E-03 + 1.1474782000E-06 1.6273870816E-03 + 1.1590689000E-06 1.6402658544E-03 + 1.1707767000E-06 1.6532465715E-03 + 1.1826027000E-06 1.6663299478E-03 + 1.1945482000E-06 1.6795169131E-03 + 1.2066143000E-06 1.6928081691E-03 + 1.2188023000E-06 1.7062046312E-03 + 1.2311135000E-06 1.7197072073E-03 + 1.2435490000E-06 1.7333165787E-03 + 1.2561101000E-06 1.7470336394E-03 + 1.2687980000E-06 1.7608591668E-03 + 1.2816142000E-06 1.7747942578E-03 + 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@@ + 107576 0 0.000000000000E+00 F 1.000000 0.000000000000E+00 + 7333915 + 4338981 + 16531264 + 8522107 + 3419218 + 8767644 + 3609462 + 8594175 + 439475588 + 1068313672 + 1099176122 + 1759235898 diff --git a/idl/ctem.in b/test/ctem.in similarity index 85% rename from idl/ctem.in rename to test/ctem.in index 1f391a23..51a2fb60 100644 --- a/idl/ctem.in +++ b/test/ctem.in @@ -1,8 +1,8 @@ ! CTEM Input file: Compatible with v. 1.1 ! IDL driver in uts -interval 1.00e7 ! Time interval between outputs (y) -numintervals 350 ! Total number of intervals +interval 3.0e9 ! Time interval between outputs (y) +numintervals 1 ! Total number of intervals restart F ! Restart a previous run impfile MintonLunarProduction.dat ! Impactor SFD rate file (col 1: Dimp (m), col 2: ! impactors > D (m**(-2) y**(-1)) popupconsole F ! Pop up console window every output interval @@ -13,15 +13,15 @@ savetruelist F ! Save the true cumulative crate sfdcompare Robbins2014-A15-FassettCounts-binned.dat ! File name for the SFD comparison file used in the console display !shadedminh -85.0 ! Minimum height for shaded relief map (m) (Default - automatic) !shadedmaxh 85.0 ! Maximum height for shaded relief map (m) (Default - automatic) -runtype single ! Run type: options are normal / statistical +runtype statistical ! Run type: options are normal / statistical ! single: craters accumulate in successive intervals ! statistical: surface is reset between intervals ! CTEM required inputs -seed 53972 ! Random number generator seed -gridsize 1000 ! Size of grid in pixels +seed 9234568 ! Random number generator seed +gridsize 100 ! Size of grid in pixels numlayers 10 ! Number of perched layers -pix 1.0 ! Pixel size (m) +pix 10.0 ! Pixel size (m) mat rock ! Material (rock or ice) ! Bedrock scaling parameters mu_b 0.55e0 ! Experimentally derived parameter for bedrock crater scaling law @@ -60,19 +60,20 @@ neff 5.0d-10 ! Impact energy seismic efficien ! Optional input. These have internally set default values that work reasonable well. Comment them out with deplimit 10d3 ! Depth limit for craters (m) - Default is to ignore. -maxcrat 1.00e0 ! Fraction of gridsize that maximum crater can be - Default 1.0 +maxcrat 1.0 ! Fraction of gridsize that maximum crater can be - Default 1.0 killatmaxcrater F ! Stop the run if a crater larger than the maximum is produced - Default F basinimp 35.0e3 ! Size of impactor to switch to lunar basin scaling law - Default is to ignore docollapse T ! Do slope collapse - Default T -dosoftening T ! Do ejecta softening - Default T +dosoftening F ! Do ejecta softening - Default T doangle T ! Vary the impact angle. Set to F to have only vertical impacts - Default T +doregotrack T ! Regolith layers track flag. Set to F for default. soften_factor 1.6 soften_slope 1.8 -discontinuous F +soften_size 200.0 ! Testing input. These are used to perform non-Monte Carlo tests. testflag F ! Set to T to create a single crater with user-defined impactor properties -testimp 20.0 ! Diameter of test impactor (m) +testimp 0.3 ! Diameter of test impactor (m) testvel 15.e3 ! Velocity of test crater (m/s) testang 90.0 ! Impact angle of test crater (deg) - Default 90.0 testxoffset 0.0e0 ! x-axis offset of crater center from grid center (m) - Default 0.0 @@ -80,3 +81,5 @@ testyoffset 0.0e0 ! y-axis offset of crater center tallyonly F ! Tally the craters without generating any craters testtally F ! Set to T to count all non-cookie cut craters, regardless of score +! Porosity input +porosityflg F ! Porosity on/off flg. Set to F to turn the model off. Default F. diff --git a/test/ctem1.dat b/test/ctem1.dat new file mode 100644 index 00000000..8bc50e17 --- /dev/null +++ b/test/ctem1.dat @@ -0,0 +1,13 @@ + 107576 0 0.000000000000E+00 F 1.000000 0.000000000000E+00 + 7333915 + 4338981 + 16531264 + 8522107 + 3419218 + 8767644 + 3609462 + 8594175 + 439475588 + 1068313672 + 1099176122 + 1759235898 diff --git a/examples/regolith-transport-run-example/ctem_driver.pro b/test/ctem_driver.pro similarity index 89% rename from examples/regolith-transport-run-example/ctem_driver.pro rename to test/ctem_driver.pro index bba1994b..071af0f7 100644 --- a/examples/regolith-transport-run-example/ctem_driver.pro +++ b/test/ctem_driver.pro @@ -28,7 +28,7 @@ restart = "F" fracdone = 1.0d0 masstot = 0.d0 -ctem_io_read_input,infilename,interval,numintervals,gridsize,pix,seed,numlayers,sfdfile,impfile,maxcrat,ph1,shadedmaxhdefault,shadedminhdefault,shadedminh,shadedmaxh,restart,runtype,popupconsole,saveshaded,saverego,savepres,savetruelist,tallycadence +ctem_io_read_input,infilename,interval,numintervals,gridsize,pix,seed,numlayers,sfdfile,impfile,maxcrat,ph1,shadedmaxhdefault,shadedminhdefault,shadedminh,shadedmaxh,restart,runtype,popupconsole,saveshaded,saverego,savepres,savetruelist seedarr(0) = seed area = (gridsize * pix)^2 @@ -63,7 +63,7 @@ tdist = dblarr(6,distl) pdist = dblarr(6,pdistl) pdisttotal = dblarr(6,pdistl) -datformat = "(I17,1X,I12,1X,E19.12,1X,A1,1X,I12,1X,F9.6,1X,E19.12)" +datformat = "(I17,1X,I12,1X,E19.12,1X,A1,1X,F9.6,1X,E19.12)" if strmatch(restart,'F',/fold_case) then begin ; Start with a clean slate @@ -76,7 +76,7 @@ if strmatch(restart,'F',/fold_case) then begin ; Start with a clean slate if strmatch(runtype,'statistical',/fold_case) then begin ncount = 1 openw,LUN,DATFILE,/GET_LUN - printf,LUN,totalimpacts,ncount,curyear,restart,tallycadence,fracdone,masstot,format=datformat + printf,LUN,totalimpacts,ncount,curyear,restart,fracdone,masstot,format=datformat for n=0,seedn-1 do begin printf,LUN,seedarr(n),format='(I12)' endfor @@ -97,7 +97,7 @@ endif else begin ; continue an old run ;read in constants file openr,LUN,DATFILE,/GET_LUN - readf,LUN,totalimpacts,ncount,curyear,restart,tallycadence,fracdone,masstot,format=datformat + readf,LUN,totalimpacts,ncount,curyear,restart,fracdone,masstot,format=datformat seedn = 0 while ~ eof(LUN) do begin readf,LUN,iseed @@ -141,7 +141,7 @@ while (ncount le numintervals) do begin ;read in constants file openr,LUN,DATFILE,/GET_LUN - readf,LUN,totalimpacts,ncount,curyear,restart,tallycadence,fracdone,masstot,format=datformat + readf,LUN,totalimpacts,ncount,curyear,restart,fracdone,masstot,format=datformat seedn = 0 while ~ eof(LUN) do begin readf,LUN,iseed @@ -221,7 +221,7 @@ while (ncount le numintervals) do begin endelse openw,LUN,DATFILE,/GET_LUN - printf,LUN,totalimpacts,ncount,curyear,restart,tallycadence,fracdone,masstot,format=datformat + printf,LUN,totalimpacts,ncount,curyear,restart,fracdone,masstot,format=datformat for n=0,seedn-1 do begin printf,LUN,seedarr(n),format='(I12)' endfor diff --git a/test/ctem_image_age.pro b/test/ctem_image_age.pro new file mode 100755 index 00000000..aca988ad --- /dev/null +++ b/test/ctem_image_age.pro @@ -0,0 +1,33 @@ +pro ctem_image_age,ncount,gridsize,pix,regolith,regolith_image +; Generates the regolith depth map image and saves it as a jpeg output image in the 'rego' directory +; outputs dregolith, which may be scaled to use as a console image +Compile_Opt DEFINT32 +thisDevice = !D.Name +Set_Plot, 'Z' +Erase +Device, Set_Resolution=[gridsize,gridsize],Set_Pixel_Depth=24, Decomposed=0 +loadct, 11;49;11;39 +TVLCT, red, green, blue, /GET + +minref = pix * 1.0d-4 +regolith_scaled = dblarr(gridsize,gridsize) +maxreg = 37.0 ;max(regolith) +minreg = 0.0 ;min(regolith) +if minreg lt minref then minreg = minref +if maxreg lt minref then maxreg = minref + 1.0d30 +regolith_scaled = regolith > minreg +regolith_scaled = 254.0d0 * (regolith_scaled - minreg)/(maxreg - minreg);((alog(regolith_scaled) - alog(minreg)) / (alog(maxreg) - alog(minreg))) + +; save regolith display +tv, regolith_scaled, 0, 0, xsize=gridsize, ysize=gridsize, /device +regolith_image = TVRD(True=1) +Set_Plot, thisDevice + +if (file_test('agetop',/DIRECTORY) eq 0) then begin + file_mkdir,'agetop' +endif +fnum = string(ncount,format='(I6.6)') +fname = 'agetop/agetop' + fnum + '.jpg' +write_jpeg, fname, regolith_image, true=1, quality=100 + +end diff --git a/examples/regolith-transport-run-example/ctem_image_dem.pro b/test/ctem_image_dem.pro similarity index 100% rename from examples/regolith-transport-run-example/ctem_image_dem.pro rename to test/ctem_image_dem.pro diff --git a/examples/regolith-transport-run-example/ctem_image_regolith.pro b/test/ctem_image_regolith.pro similarity index 100% rename from examples/regolith-transport-run-example/ctem_image_regolith.pro rename to test/ctem_image_regolith.pro diff --git a/examples/regolith-transport-run-example/ctem_image_shaded_relief.pro b/test/ctem_image_shaded_relief.pro similarity index 98% rename from examples/regolith-transport-run-example/ctem_image_shaded_relief.pro rename to test/ctem_image_shaded_relief.pro index 73986f84..d8cd85b8 100755 --- a/examples/regolith-transport-run-example/ctem_image_shaded_relief.pro +++ b/test/ctem_image_shaded_relief.pro @@ -7,7 +7,7 @@ thisDevice = !D.Name Set_Plot, 'Z' Erase Device, Set_Resolution=[gridsize,gridsize],Set_Pixel_Depth=24, Decomposed=0 -loadct, 33 +loadct, 61;72; 17 ;33 TVLCT, red, green, blue, /GET light=[[1,1,1],[0,0,0],[-1,-1,-1]] diff --git a/examples/regolith-transport-run-example/ctem_io_read_input.pro b/test/ctem_io_read_input.pro similarity index 96% rename from examples/regolith-transport-run-example/ctem_io_read_input.pro rename to test/ctem_io_read_input.pro index 080b5b01..ea135668 100644 --- a/examples/regolith-transport-run-example/ctem_io_read_input.pro +++ b/test/ctem_io_read_input.pro @@ -1,4 +1,4 @@ -pro ctem_io_read_input,infilename,interval,numintervals,gridsize,pix,seed,numlayers,sfdfile,impfile,maxcrat,ph1,shadedmaxhdefault,shadedminhdefault,shadedminh,shadedmaxh,restart,runtype,popupconsole,saveshaded,saverego,savepres,savetruelist,tallycadence +pro ctem_io_read_input,infilename,interval,numintervals,gridsize,pix,seed,numlayers,sfdfile,impfile,maxcrat,ph1,shadedmaxhdefault,shadedminhdefault,shadedminh,shadedmaxh,restart,runtype,popupconsole,saveshaded,saverego,savepres,savetruelist Compile_Opt DEFINT32 print, 'Reading input file' openr,infile,infilename, /GET_LUN @@ -14,7 +14,6 @@ shadedmaxhdefault = 1 shadedminhdefault = 1 shadedminh = 0.d0 shademaxnh = 0.d0 -tallycadence = long64(5000) ; Set required strings to unset value @@ -49,7 +48,6 @@ while (not EOF(infile)) do begin if strmatch(substrings(0),'savetruelist',/fold_case) then reads,substrings(1),savetruelist if strmatch(substrings(0),'runtype',/fold_case) then reads,substrings(1),runtype if strmatch(substrings(0),'restart',/fold_case) then reads,substrings(1),restart - if strmatch(substrings(0),'tallystart',/fold_case) then reads,substrings(1),tallycadence if strmatch(substrings(0),'shadedminh',/fold_case) then begin reads,substrings(1),shadedminh shadedminhdefault = 0 diff --git a/examples/regolith-transport-run-example/ctem_io_read_old.pro b/test/ctem_io_read_old.pro similarity index 100% rename from examples/regolith-transport-run-example/ctem_io_read_old.pro rename to test/ctem_io_read_old.pro diff --git a/examples/regolith-transport-run-example/ctem_window_display.pro b/test/ctem_window_display.pro similarity index 100% rename from examples/regolith-transport-run-example/ctem_window_display.pro rename to test/ctem_window_display.pro diff --git a/test/output b/test/output new file mode 100644 index 00000000..963ceeec --- /dev/null +++ b/test/output @@ -0,0 +1,422 @@ +Reading input file +Starting a new run +Beginning loops + 0 Displaying results +plotting + 0 time = 0.0000000 + 0 saving window + 1 Calling FORTRAN routine + *--------------------------------------------------------------------* + * ____________________ ___ * + * / ____/_ __/ ____/ |/ / * + * / / / / / __/ / /|_/ / * + * / /___ / / / /___/ / / / * + * \____/ /_/ /_____/_/ /_/ * + * Cratered Terrain Evolution Model * + *--------------------------------------------------------------------* + Version 1.3 DEVELOPMENT + Authors: James E. Richardson + David A. Minton + *--------------------------------------------------------------------* + OpenMP parameters: + ------------------ + Number of threads = 2 + + Initializing simulation domain and determining minimum impactor size + Generating random population of craters. 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2.78815608E-02 2.84695514E-02 2.74541136E-02 2.90491171E-02 1.16369799E-02 1.38259986E-02 0.168425232 1.69725195E-02 3.71922702E-02 0.105735205 1.56432018E-02 2.89331414E-02 4.43734452E-02 0.112401240 1.08219981 2.05171593E-02 1.98886544E-02 3.16998251E-02 4.31086197E-02 0.113023117 0.115549408 9.74969193E-02 4.33601514E-02 5.03914282E-02 0.292284101 0.102819540 2.39564516E-02 2.21565440E-02 1.27264140E-02 5.09675331E-02 2.68832520E-02 1.85363218E-02 1.09727597 1.58834159E-02 2.65894458E-02 5.59168434 7.96010792E-02 0.275471032 1.60755012E-02 1.56087521E-02 4.29027118E-02 1.41667193E-02 1.21851489E-02 0.120868474 1.15870815E-02 3.23197283E-02 1.30180323 1.40764592E-02 3.09631657E-02 2.60386188E-02 3.52522880E-02 3.42513621E-02 5.33220172E-02 0.200112417 2.13820916E-02 3.25064087 1.32830935E-02 + 66719706.786369562 219717.04834567782 15.2331324 3.79811287 0.00000000 3.86245549E-02 3.65496799E-02 2.77295019E-02 2.82901619E-02 2.73226742E-02 2.88960058E-02 1.15882279E-02 1.37680201E-02 0.167602569 1.69189516E-02 3.70990075E-02 0.105495505 1.56105012E-02 2.88790185E-02 4.43256572E-02 0.112109452 1.08044457 2.04811916E-02 1.76825430E-02 3.14791687E-02 4.30575870E-02 0.112777516 0.115361549 9.75109115E-02 4.33253497E-02 5.03500178E-02 0.292255670 0.102513693 2.39507183E-02 2.21469849E-02 1.27206296E-02 5.09375483E-02 2.68656909E-02 1.85268503E-02 1.09672391 1.58837605E-02 2.65833903E-02 5.58994102 7.96154365E-02 0.275397032 1.60719119E-02 1.56073356E-02 4.29077521E-02 1.41630284E-02 1.21812457E-02 0.120853916 1.15845427E-02 3.23481262E-02 1.30190253 1.40743721E-02 3.09703033E-02 2.60348115E-02 3.52531709E-02 3.42507362E-02 5.33171780E-02 0.200064063 2.13794485E-02 3.24954557 1.32799819E-02 + 58683318.018039346 219870.62544581926 15.2313051 3.79879069 0.00000000 3.96158807E-02 3.63101102E-02 2.75352448E-02 2.81081088E-02 2.71496195E-02 2.87063103E-02 1.15197729E-02 1.36861186E-02 0.166840613 1.68675762E-02 3.70019116E-02 0.105102599 1.55969197E-02 2.88081337E-02 4.42791358E-02 0.111942284 1.07924950 2.04784088E-02 1.76621135E-02 3.14459726E-02 4.30302694E-02 0.112699419 0.115310684 9.74674672E-02 4.32827100E-02 5.03252484E-02 0.292201430 0.102494620 2.39615198E-02 2.21649781E-02 1.27197346E-02 5.09596914E-02 2.68809423E-02 1.85288731E-02 1.09687543 1.58907212E-02 2.65889820E-02 5.59026003 7.96167627E-02 0.275379717 1.60648189E-02 1.56049374E-02 4.29141112E-02 1.41581371E-02 1.21827442E-02 0.120846167 1.15863178E-02 3.23479325E-02 1.30204594 1.40825156E-02 3.09839267E-02 2.60391068E-02 3.52607742E-02 3.42681743E-02 5.33227026E-02 0.200022802 2.13872753E-02 3.25035858 1.32815698E-02 + 50646929.249709129 220293.65246215119 15.2050495 3.79170251 0.00000000 4.63948399E-02 3.60453315E-02 2.73442473E-02 2.78732628E-02 2.69840155E-02 2.85462476E-02 1.14490977E-02 1.35898180E-02 0.165484354 1.67715829E-02 3.68548222E-02 0.101032697 1.55160986E-02 2.86999550E-02 4.41326611E-02 0.111620717 1.07608843 2.03580726E-02 1.76118575E-02 3.13210413E-02 4.29659560E-02 0.112597093 0.115112446 9.67734456E-02 4.23531458E-02 5.00984788E-02 0.291643769 0.102440208 2.38891542E-02 2.21126415E-02 1.27106495E-02 5.08619845E-02 2.68813726E-02 1.84872318E-02 1.09543586 1.58510096E-02 2.65543144E-02 5.58412504 7.93985054E-02 0.275001317 1.60421710E-02 1.55826705E-02 4.27970812E-02 1.41392145E-02 1.21665588E-02 0.120673396 1.15535306E-02 3.22840996E-02 1.29865336 1.40290558E-02 3.09336558E-02 2.60046460E-02 3.52169536E-02 3.41195725E-02 5.32186143E-02 0.199693307 2.13584695E-02 3.24431276 1.32556427E-02 + 42610540.481378913 220440.76795625643 15.2040730 3.79151130 3.75472242E-03 4.61327769E-02 3.57919000E-02 2.71657482E-02 2.77263597E-02 2.68365070E-02 2.84399502E-02 1.14069032E-02 1.35414032E-02 0.164903387 1.67350695E-02 3.67885754E-02 0.100663990 1.54866176E-02 2.86427122E-02 4.41064723E-02 0.111385718 1.07491791 2.03271024E-02 1.76044796E-02 3.12913433E-02 4.29635644E-02 0.112555236 0.115100324 9.67532992E-02 4.23288643E-02 5.00950329E-02 0.291782379 0.102483034 2.38875523E-02 2.21165456E-02 1.27084274E-02 5.08742742E-02 2.68799234E-02 1.84979308E-02 1.09514141 1.58578046E-02 2.65561193E-02 5.58396578 7.93995261E-02 0.275121927 1.60461012E-02 1.55861489E-02 4.27994207E-02 1.41391074E-02 1.21679055E-02 0.120697603 1.15557229E-02 3.22817676E-02 1.29848635 1.40284104E-02 3.09371706E-02 2.60028616E-02 3.52189280E-02 3.40951644E-02 5.32084480E-02 0.199611858 2.13558432E-02 3.24388337 1.32531757E-02 + 34574151.713048697 220607.23439810652 15.1997595 3.78993130 6.81064092E-03 4.57952321E-02 3.55839543E-02 2.67979503E-02 2.75663286E-02 2.67261993E-02 2.83229686E-02 1.13646835E-02 1.34995589E-02 0.164454982 1.66947655E-02 3.67306508E-02 0.100347251 1.54546378E-02 2.85565462E-02 4.40528654E-02 0.111257359 1.07363141 2.03100126E-02 1.75884888E-02 3.12764645E-02 4.29683663E-02 0.112472951 0.115013450 9.67123434E-02 4.22997996E-02 5.00819795E-02 0.291797340 0.102481931 2.38828473E-02 2.21096613E-02 1.27034243E-02 5.08612879E-02 2.68723499E-02 1.84991043E-02 1.09492350 1.58655457E-02 2.65513919E-02 5.58322382 7.93336928E-02 0.275016397 1.60451215E-02 1.55820521E-02 4.27905768E-02 1.41395619E-02 1.21689755E-02 0.120740019 1.15569346E-02 3.22768390E-02 1.29815888 1.40263215E-02 3.09340265E-02 2.60125566E-02 3.52207497E-02 3.40945646E-02 5.31789213E-02 0.199357435 2.13328730E-02 3.24239826 1.32504264E-02 + 26537762.944702215 220836.63097347875 15.1936979 3.78900194 9.33356956E-03 4.53182310E-02 3.52593847E-02 2.66230442E-02 2.74252724E-02 2.65394822E-02 2.81463582E-02 1.13144377E-02 1.34518323E-02 0.163766652 1.66477114E-02 3.66679132E-02 0.100181401 1.54057657E-02 2.85237730E-02 4.40054163E-02 0.111168370 1.07231140 2.03026608E-02 1.75648630E-02 3.12603936E-02 4.29007076E-02 0.112362459 0.114766210 9.64967161E-02 4.22586240E-02 5.00619598E-02 0.291178823 0.102255382 2.38351002E-02 2.20729001E-02 1.27036581E-02 5.07958755E-02 2.68536247E-02 1.84984114E-02 1.09416640 1.58435535E-02 2.65498981E-02 5.58129930 7.93415681E-02 0.275021940 1.60462987E-02 1.55871334E-02 4.27931845E-02 1.41373510E-02 1.21629965E-02 0.120739020 1.15570240E-02 3.22691090E-02 1.29828370 1.40217282E-02 3.09351943E-02 2.60107238E-02 3.52202803E-02 3.40974070E-02 5.31600453E-02 0.199352100 2.13318523E-02 3.24226236 1.32495975E-02 + 18501374.176353373 221182.27573836825 15.1713686 3.78405237 1.51532125E-02 4.49004732E-02 3.48310918E-02 2.63669323E-02 2.72546932E-02 2.64026765E-02 2.79817544E-02 1.12483259E-02 1.33888861E-02 0.163135096 1.65786725E-02 3.65007706E-02 9.97594073E-02 1.53596597E-02 2.83795968E-02 4.39603254E-02 0.110595852 1.06954408 2.02156547E-02 1.74876135E-02 3.10890172E-02 4.28149402E-02 0.112043731 0.114683501 9.64181945E-02 4.21828441E-02 5.00074290E-02 0.291003346 0.102131002 2.38001496E-02 2.19912156E-02 1.26815708E-02 5.07191233E-02 2.68160887E-02 1.84750352E-02 1.09066153 1.58230942E-02 2.65342053E-02 5.57465744 7.89914429E-02 0.274369568 1.60301682E-02 1.55634470E-02 4.26845029E-02 1.41218035E-02 1.21488292E-02 0.120430663 1.15361037E-02 3.22144628E-02 1.29505002 1.40167521E-02 3.08842752E-02 2.59768385E-02 3.52088585E-02 3.40690948E-02 5.26972413E-02 0.199082002 2.12508570E-02 3.23821950 1.32436575E-02 + 10464985.408011846 221350.12912598392 15.1694708 3.78392363 1.67503208E-02 4.46184985E-02 3.46086584E-02 2.61563305E-02 2.70894170E-02 2.62759179E-02 2.78280452E-02 1.11974031E-02 1.33376429E-02 0.162691861 1.65366624E-02 3.64528820E-02 9.96800512E-02 1.53534366E-02 2.83507407E-02 4.38626111E-02 0.110515878 1.06891549 2.01919470E-02 1.74767543E-02 3.10725477E-02 4.27805893E-02 0.112033695 0.114624150 9.63597745E-02 4.21516560E-02 4.99847606E-02 0.290758967 0.101970904 2.37829555E-02 2.19899546E-02 1.26800435E-02 5.06902449E-02 2.68127620E-02 1.84579529E-02 1.09007359 1.58168022E-02 2.65090261E-02 5.57462692 7.89758191E-02 0.274436891 1.60326995E-02 1.55586768E-02 4.27028798E-02 1.41189750E-02 1.21511500E-02 0.120486431 1.15408115E-02 3.22082154E-02 1.29537177 1.40204960E-02 3.08816526E-02 2.59752218E-02 3.52167860E-02 3.40619795E-02 5.26837558E-02 0.199086919 2.12587006E-02 3.23838830 1.32443123E-02 + 2428596.6396688623 221522.75562558573 15.1662416 3.78327727 1.86728593E-02 4.43610065E-02 3.44308764E-02 2.60327645E-02 2.69488394E-02 2.61382833E-02 2.77122911E-02 1.11544225E-02 1.32968361E-02 0.162153393 1.67122073E-02 3.64498384E-02 9.93243456E-02 1.53372400E-02 2.83075720E-02 4.38236594E-02 0.110368997 1.06789970 2.01619789E-02 1.74483620E-02 3.10716759E-02 4.27242666E-02 0.111957610 0.114601433 9.62010920E-02 4.21331562E-02 4.99595813E-02 0.290700614 0.101889454 2.37847324E-02 2.19527166E-02 1.26709091E-02 5.06554693E-02 2.67757382E-02 1.84489097E-02 1.08953857 1.58107150E-02 2.64992062E-02 5.57388878 7.89867565E-02 0.274406284 1.60335787E-02 1.55622205E-02 4.27089073E-02 1.41159622E-02 1.21522294E-02 0.120489880 1.15385577E-02 3.22059244E-02 1.29559195 1.40201924E-02 3.08879130E-02 2.59913579E-02 3.52170616E-02 3.40832137E-02 5.26987948E-02 0.199078009 2.12594569E-02 3.23797154 1.32421805E-02 + + Minimum impactor diameter = 2.2200212792338626E-002 + Maximum impactor diameter = 11.106882406088582 + Minimum crater diameter = 4.0000045451624269 d/D = 0.23233126621055267 r/D = 7.2331266210552664E-002 + Maximum crater diameter = 316.58747625558726 d/D = 0.20347746253469898 r/D = 4.3477462534698974E-002 + Tallying craters + Total craters generated: 1866510 + Surface-affecting craters generated: 167582 + Visible craters generated: 167582 + Craters killed during tally: 19321 + Writing surface files + Writing output files + Timing information + nthreads walltime + 2 78058.845182961784 + 1 Reading FORTRAN output + 1 Displaying results +plotting + 1 time = 3.0000000e+09 + 1 saving window diff --git a/test/pdistribution.dat b/test/pdistribution.dat new file mode 100644 index 00000000..e6fb926f --- /dev/null +++ b/test/pdistribution.dat @@ -0,0 +1,67 @@ +# Dlo(m) Dhi(m) Dmean(m) dN N>D R + 1.3486991523E-03 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00000000..244d79ed --- /dev/null +++ b/test/run.in @@ -0,0 +1 @@ +TEM2 diff --git a/test/runjob b/test/runjob new file mode 100644 index 00000000..156f5524 --- /dev/null +++ b/test/runjob @@ -0,0 +1,15 @@ +#!/bin/sh -l +# FILENAME: runjob + +#SBATCH -A daminton +#SBATCH --nodes=1 +#SBATCH --time=100:00:00 +#SBATCH --job-name test + + +source /etc/profile +module load intel +module load idl +cd $SLURM_SUBMIT_DIR + +idl < start.in diff --git a/test/runjob1 b/test/runjob1 new file mode 100644 index 00000000..36941762 --- /dev/null +++ b/test/runjob1 @@ -0,0 +1,9 @@ +#PBS -q daminton +#PBS -l walltime=720:00:00 +#PBS -l nodes=1:ppn=2,naccesspolicy=shared +#PBS -N SHFRAGv2_hs +source /etc/profile +module load gcc +module load idl +cd $PBS_O_WORKDIR +idl < start.in > output diff --git a/test/runjob2 b/test/runjob2 new file mode 100755 index 00000000..cdf2ed29 --- /dev/null +++ b/test/runjob2 @@ -0,0 +1,9 @@ +#PBS -q daminton +#PBS -l walltime=720:00:00 +#PBS -l nodes=1:ppn=2,naccesspolicy=shared +#PBS -N plotya +source /etc/profile +csh +module load idl +cd $PBS_O_WORKDIR +./Plottingya diff --git a/examples/morphology_test_cases/complex/savestate/start.in b/test/start.in old mode 100755 new mode 100644 similarity index 100% rename from examples/morphology_test_cases/complex/savestate/start.in rename to test/start.in