diff --git a/examples/helio_swifter_comparison/1pl_1tp_encounter/.idea/.gitignore b/examples/helio_swifter_comparison/.idea/.gitignore similarity index 100% rename from examples/helio_swifter_comparison/1pl_1tp_encounter/.idea/.gitignore rename to examples/helio_swifter_comparison/.idea/.gitignore diff --git a/examples/helio_swifter_comparison/1pl_1tp_encounter/cb.swiftest.in b/examples/helio_swifter_comparison/1pl_1tp_encounter/cb.swiftest.in deleted file mode 100644 index 2386b53c8..000000000 Binary files a/examples/helio_swifter_comparison/1pl_1tp_encounter/cb.swiftest.in and /dev/null differ diff --git a/examples/helio_swifter_comparison/1pl_1tp_encounter/check_init_cond.ipynb b/examples/helio_swifter_comparison/1pl_1tp_encounter/check_init_cond.ipynb deleted file mode 100644 index b8794b9f0..000000000 --- a/examples/helio_swifter_comparison/1pl_1tp_encounter/check_init_cond.ipynb +++ /dev/null @@ -1,929 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import swiftestio as swio\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading Swifter file param.swifter.in\n" - ] - } - ], - "source": [ - "inparfile = 'param.swifter.in'\n", - "paramgr = swio.read_swifter_param(inparfile)\n", - "swifterdat = swio.swifter2xr(paramgr)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[,\n", - " ]" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "swifterdat.plot.scatter(x='px', y='py', hue='id', hue_style=\"discrete\", marker='.')" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading Swiftest file param.swiftest.in\n" - ] - } - ], - "source": [ - "param_file_name = 'param.swiftest.in'\n", - "config = swio.read_swiftest_config(param_file_name)\n", - "swiftestdat = swio.swiftest2xr(config)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[,\n", - " ,\n", - " ]" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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-       "Dimensions:   (id: 2, time: 41)\n",
-       "Coordinates:\n",
-       "  * id        (id) int64 2 100\n",
-       "    time (y)  (time) float64 0.0 0.0006845 0.001369 ... 0.02601 0.02669 0.02738\n",
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-       "    delta x   (time, id) float64 0.0 0.0 0.0 0.0 ... -4.108e-15 0.0 -4.441e-15\n",
-       "    delta y   (time, id) float64 0.0 0.0 0.0 0.0 ... -3.886e-16 0.0 -3.886e-16\n",
-       "    pz        (time, id) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
-       "    vx        (time, id) float64 0.0 0.0 0.0 ... -2.984e-13 0.0 -3.062e-13\n",
-       "    vy        (time, id) float64 0.0 0.0 0.0 0.0 ... -3.553e-14 0.0 -3.73e-14\n",
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" - ], - "text/plain": [ - "\n", - "Dimensions: (id: 2, time: 41)\n", - "Coordinates:\n", - " * id (id) int64 2 100\n", - " time (y) (time) float64 0.0 0.0006845 0.001369 ... 0.02601 0.02669 0.02738\n", - "Dimensions without coordinates: time\n", - "Data variables:\n", - " Mass (time, id) float64 0.0 nan 0.0 nan 0.0 nan ... nan 0.0 nan 0.0 nan\n", - " Radius (time, id) float64 0.0 nan 0.0 nan 0.0 nan ... nan 0.0 nan 0.0 nan\n", - " delta x (time, id) float64 0.0 0.0 0.0 0.0 ... -4.108e-15 0.0 -4.441e-15\n", - " delta y (time, id) float64 0.0 0.0 0.0 0.0 ... -3.886e-16 0.0 -3.886e-16\n", - " pz (time, id) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n", - " vx (time, id) float64 0.0 0.0 0.0 ... -2.984e-13 0.0 -3.062e-13\n", - " vy (time, id) float64 0.0 0.0 0.0 0.0 ... -3.553e-14 0.0 -3.73e-14\n", - " vz (time, id) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "swiftdiff = swiftestdat - swifterdat\n", - "swiftdiff = swiftdiff.rename_vars({'time' : 'time (y)','px' : 'delta x','py' : 'delta y'})\n", - "swiftdiff" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[,\n", - " ]" - ] - }, - "execution_count": 23, - "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": [ - "swiftdiff.plot.scatter(x='delta x', y='delta y', hue='id', hue_style=\"discrete\", marker='.')" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.savefig('rmvsdiff.png')" - ] - }, - { - "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": "3.8.6" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/examples/helio_swifter_comparison/1pl_1tp_encounter/init_cond.py b/examples/helio_swifter_comparison/1pl_1tp_encounter/init_cond.py deleted file mode 100644 index 5b5f5e76e..000000000 --- a/examples/helio_swifter_comparison/1pl_1tp_encounter/init_cond.py +++ /dev/null @@ -1,228 +0,0 @@ -""" -For testing RMVS, the code generates clones of test particles based on one that is fated to impact Mercury. -To use the script, modify the variables just after the "if __name__ == '__main__':" line -""" -import numpy as np -from astroquery.jplhorizons import Horizons -import astropy.constants as const -import swiftestio as swio -from scipy.io import FortranFile -import sys - -#Values from JPL Horizons -AU2M = np.longdouble(const.au.value) -GMSunSI = np.longdouble(const.GM_sun.value) -Rsun = np.longdouble(const.R_sun.value) -GC = np.longdouble(const.G.value) -JD = 86400 -year = np.longdouble(365.25 * JD) -c = np.longdouble(299792458.0) -MSun_over_Mpl = np.array([6023600.0, - 408523.71, - 328900.56, - 3098708., - 1047.3486, - 3497.898, - 22902.98, - 19412.24, - 1.35e8], dtype=np.longdouble) - -MU2KG = np.longdouble(GMSunSI / GC) #Conversion from mass unit to kg -DU2M = np.longdouble(AU2M) #Conversion from radius unit to centimeters -TU2S = np.longdouble(year) #Conversion from time unit to seconds -GU = np.longdouble(GC / (DU2M**3 / (MU2KG * TU2S**2))) -GMSun = np.longdouble(GMSunSI / (DU2M**3 / TU2S**2)) - -# Solar oblatenes values: From Mecheri et al. (2004), using Corbard (b) 2002 values (Table II) -J2 = np.longdouble(2.198e-7) * (Rsun / DU2M)**2 -J4 = np.longdouble(-4.805e-9) * (Rsun / DU2M)**4 - -#Planet Msun/M ratio -MSun_over_Mpl = { - 'mercury' : np.longdouble(6023600.0), - 'venus' : np.longdouble(408523.71), - 'earthmoon' : np.longdouble(328900.56), - 'mars' : np.longdouble(3098708.), - 'jupiter' : np.longdouble(1047.3486), - 'saturn' : np.longdouble(3497.898), - 'uranus' : np.longdouble(22902.98), - 'neptune' : np.longdouble(19412.24), - 'plutocharon' : np.longdouble(1.35e8) -} - -#Planet radii in meters -Rpl = { - 'mercury' : np.longdouble(2439.4e3), - 'venus' : np.longdouble(6051.8e3), - 'earthmoon' : np.longdouble(6371.0084e3), # Earth only for radius - 'mars' : np.longdouble(3389.50e3), - 'jupiter' : np.longdouble(69911e3), - 'saturn' : np.longdouble(58232.0e3), - 'uranus' : np.longdouble(25362.e3), - 'neptune' : np.longdouble(24622.e3), - 'plutocharon' : np.longdouble(1188.3e3) -} - -THIRDLONG = np.longdouble(1.0) / np.longdouble(3.0) - -swifter_input = "param.swifter.in" -swifter_pl = "pl.swifter.in" -swifter_tp = "tp.swifter.in" -swifter_bin = "bin.swifter.dat" -swifter_enc = "enc.swifter.dat" - -swiftest_input = "param.swiftest.in" -swiftest_pl = "pl.swiftest.in" -swiftest_tp = "tp.swiftest.in" -swiftest_cb = "cb.swiftest.in" -swiftest_bin = "bin.swiftest.dat" -swiftest_enc = "enc.swiftest.dat" - -# Simple initial conditions of a circular planet with one test particle in a close encounter state -# Simulation start, stop, and output cadence times -t_0 = 0 # simulation start time -deltaT = 0.25 * JD / TU2S # simulation step size -end_sim = year / TU2S #10 * JD / TU2S # simulation end time -t_print = deltaT #output interval to print results - -iout = int(np.ceil(t_print / deltaT)) -rmin = Rsun / DU2M -rmax = 1000.0 - -npl = 1 -plid = 2 -tpid = 100 - -radius = np.double(Rpl['earthmoon'] / DU2M) -mass = np.double(GMSun * MSun_over_Mpl['earthmoon']**-1) -apl = np.longdouble(1.0) -atp = np.longdouble(1.01) -vpl = np.longdouble(2 * np.pi) -vtp = np.longdouble(2 * np.pi / np.sqrt(atp)) - -p_pl = np.array([apl, 0.0, 0.0], dtype=np.double) -v_pl = np.array([0.0, vpl, 0.0], dtype=np.double) - -p_tp = np.array([atp, 0.0, 0.0], dtype=np.double) -v_tp = np.array([0.0, vtp, 0.0], dtype=np.double) - -Rhill = apl * ((3 * MSun_over_Mpl['earthmoon'])**(-THIRDLONG)) - -#Make Swifter files -plfile = open(swifter_pl, 'w') -print(npl+1, f'! Planet input file generated using init_cond.py',file=plfile) -print(1,GMSun,file=plfile) -print('0.0 0.0 0.0',file=plfile) -print('0.0 0.0 0.0',file=plfile) -print(plid,"{:.23g}".format(mass),Rhill, file=plfile) -print(radius, file=plfile) -print(*p_pl, file=plfile) -print(*v_pl, file=plfile) -plfile.close() - -tpfile = open(swifter_tp, 'w') -print(1,file=tpfile) -print(tpid, file=tpfile) -print(*p_tp, file=tpfile) -print(*v_tp, file=tpfile) -tpfile.close() - -sys.stdout = open(swifter_input, "w") -print(f'! Swifter input file generated using init_cond.py') -print(f'T0 {t_0} ') -print(f'TSTOP {end_sim}') -print(f'DT {deltaT}') -print(f'PL_IN {swifter_pl}') -print(f'TP_IN {swifter_tp}') -print(f'IN_TYPE ASCII') -print(f'ISTEP_OUT {iout:d}') -print(f'ISTEP_DUMP {iout:d}') -print(f'BIN_OUT {swifter_bin}') -print(f'OUT_TYPE REAL8') -print(f'OUT_FORM XV') -print(f'OUT_STAT NEW') -print(f'J2 {J2}') -print(f'J4 {J4}') -print(f'CHK_CLOSE yes') -print(f'CHK_RMIN {rmin}') -print(f'CHK_RMAX {rmax}') -print(f'CHK_EJECT {rmax}') -print(f'CHK_QMIN {rmin}') -print(f'CHK_QMIN_COORD HELIO') -print(f'CHK_QMIN_RANGE {rmin} {rmax}') -print(f'ENC_OUT {swifter_enc}') -print(f'EXTRA_FORCE no') -print(f'BIG_DISCARD no') -print(f'RHILL_PRESENT yes') -sys.stdout = sys.__stdout__ - -#Now make Swiftest files -cbfile = FortranFile(swiftest_cb, 'w') -Msun = np.double(1.0) -cbfile.write_record(np.double(GMSun)) -cbfile.write_record(np.double(rmin)) -cbfile.write_record(np.double(J2)) -cbfile.write_record(np.double(J4)) -cbfile.close() - -plfile = FortranFile(swiftest_pl, 'w') -plfile.write_record(npl) - -plfile.write_record(plid) -plfile.write_record(p_pl[0]) -plfile.write_record(p_pl[1]) -plfile.write_record(p_pl[2]) -plfile.write_record(v_pl[0]) -plfile.write_record(v_pl[1]) -plfile.write_record(v_pl[2]) -plfile.write_record(mass) -plfile.write_record(radius) -plfile.close() -tpfile = FortranFile(swiftest_tp, 'w') -ntp = 1 -tpfile.write_record(ntp) -tpfile.write_record(tpid) -tpfile.write_record(p_tp[0]) -tpfile.write_record(p_tp[1]) -tpfile.write_record(p_tp[2]) -tpfile.write_record(v_tp[0]) -tpfile.write_record(v_tp[1]) -tpfile.write_record(v_tp[2]) - -tpfile.close() - -sys.stdout = open(swiftest_input, "w") -print(f'! Swiftest input file generated using init_cond.py') -print(f'T0 {t_0} ') -print(f'TSTOP {end_sim}') -print(f'DT {deltaT}') -print(f'CB_IN {swiftest_cb}') -print(f'PL_IN {swiftest_pl}') -print(f'TP_IN {swiftest_tp}') -print(f'IN_TYPE REAL8') -print(f'ISTEP_OUT {iout:d}') -print(f'ISTEP_DUMP {iout:d}') -print(f'BIN_OUT {swiftest_bin}') -print(f'OUT_TYPE REAL8') -print(f'OUT_FORM XV') -print(f'OUT_STAT REPLACE') -print(f'CHK_CLOSE yes') -print(f'CHK_RMIN {rmin}') -print(f'CHK_RMAX {rmax}') -print(f'CHK_EJECT {rmax}') -print(f'CHK_QMIN {rmin}') -print(f'CHK_QMIN_COORD HELIO') -print(f'CHK_QMIN_RANGE {rmin} {rmax}') -print(f'ENC_OUT {swiftest_enc}') -print(f'EXTRA_FORCE no') -print(f'BIG_DISCARD no') -print(f'ROTATION no') -print(f'GR no') -print(f'MU2KG {MU2KG}') -print(f'DU2M {DU2M}') -print(f'TU2S {TU2S}') - - - - - diff --git a/examples/helio_swifter_comparison/1pl_1tp_encounter/param.swifter.in b/examples/helio_swifter_comparison/1pl_1tp_encounter/param.swifter.in deleted file mode 100644 index 40cedba41..000000000 --- a/examples/helio_swifter_comparison/1pl_1tp_encounter/param.swifter.in +++ /dev/null @@ -1,26 +0,0 @@ -! Swifter input file generated using init_cond.py -T0 0 -TSTOP 0.2 -DT 0.00034223134839151266 -PL_IN pl.swifter.in -TP_IN tp.swifter.in -IN_TYPE ASCII -ISTEP_OUT 1 -ISTEP_DUMP 1 -BIN_OUT bin.swifter.dat -OUT_TYPE REAL8 -OUT_FORM XV -OUT_STAT UNKNOWN -J2 4.7535806948127355e-12 -J4 -2.2473967953572827e-18 -CHK_CLOSE yes -CHK_RMIN 0.004650467260962157 -CHK_RMAX 1000.0 -CHK_EJECT 1000.0 -CHK_QMIN 0.004650467260962157 -CHK_QMIN_COORD HELIO -CHK_QMIN_RANGE 0.004650467260962157 1000.0 -ENC_OUT enc.swifter.dat -EXTRA_FORCE no -BIG_DISCARD no -RHILL_PRESENT yes diff --git a/examples/helio_swifter_comparison/1pl_1tp_encounter/param.swiftest.in b/examples/helio_swifter_comparison/1pl_1tp_encounter/param.swiftest.in deleted file mode 100644 index 914af3324..000000000 --- a/examples/helio_swifter_comparison/1pl_1tp_encounter/param.swiftest.in +++ /dev/null @@ -1,29 +0,0 @@ -! Swiftest input file generated using init_cond.py -T0 0 -TSTOP 0.2 -DT 0.00034223134839151266 -CB_IN cb.swiftest.in -PL_IN pl.swiftest.in -TP_IN tp.swiftest.in -IN_TYPE REAL8 -ISTEP_OUT 1 -ISTEP_DUMP 1 -BIN_OUT bin.swiftest.dat -OUT_TYPE REAL8 -OUT_FORM XV -OUT_STAT REPLACE -CHK_CLOSE yes -CHK_RMIN 0.004650467260962157 -CHK_RMAX 1000.0 -CHK_EJECT 1000.0 -CHK_QMIN 0.004650467260962157 -CHK_QMIN_COORD HELIO -CHK_QMIN_RANGE 0.004650467260962157 1000.0 -ENC_OUT enc.swiftest.dat -EXTRA_FORCE no -BIG_DISCARD no -ROTATION no -GR no -MU2KG 1.988409870698051e+30 -DU2M 149597870700.0 -TU2S 31557600.0 diff --git a/examples/helio_swifter_comparison/1pl_1tp_encounter/pl.swifter.in b/examples/helio_swifter_comparison/1pl_1tp_encounter/pl.swifter.in deleted file mode 100644 index 6f91ef4c9..000000000 --- a/examples/helio_swifter_comparison/1pl_1tp_encounter/pl.swifter.in +++ /dev/null @@ -1,8 +0,0 @@ -2 ! Planet input file generated using init_cond.py -1 39.47692640889762629 -0.0 0.0 0.0 -0.0 0.0 0.0 -2 0.00012002693582795246295385 0.010044724833237895015 -4.25875607065041e-05 -1.0 0.0 0.0 -0.0 6.283185307179586 0.0 diff --git a/examples/helio_swifter_comparison/1pl_1tp_encounter/pl.swiftest.in b/examples/helio_swifter_comparison/1pl_1tp_encounter/pl.swiftest.in deleted file mode 100644 index d3786c3df..000000000 Binary files a/examples/helio_swifter_comparison/1pl_1tp_encounter/pl.swiftest.in and /dev/null differ diff --git a/examples/helio_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb b/examples/helio_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb deleted file mode 100644 index 7c8fb177a..000000000 --- a/examples/helio_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb +++ /dev/null @@ -1,145 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import swiftest\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading Swifter file param.swifter.in\n", - "Reading in time 2.002e-01\n", - "Creating Dataset\n", - "Successfully converted 586 output frames.\n", - "Swifter simulation data stored as xarray DataSet .ds\n" - ] - } - ], - "source": [ - "swiftersim = swiftest.Simulation(param_file=\"param.swifter.in\", codename=\"Swifter\")\n", - "swiftersim.bin2xr()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading Swiftest file param.swiftest.in\n", - "Reading in time 2.002e-01\n", - "Creating Dataset\n", - "Successfully converted 586 output frames.\n", - "Swiftest simulation data stored as xarray DataSet .ds\n" - ] - } - ], - "source": [ - "swiftestsim = swiftest.Simulation(param_file=\"param.swiftest.in\")\n", - "swiftestsim.bin2xr()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "swiftdiff = swiftestsim.ds - swiftersim.ds" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "swiftdiff = swiftdiff.rename({'time' : 'time (y)'})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[,\n", - " ]" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "swiftdiff['px'].plot.line(x=\"time (y)\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "swiftestOOF", - "language": "python", - "name": "swiftestoof" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.10" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/examples/helio_swifter_comparison/1pl_1tp_encounter/tp.swifter.in b/examples/helio_swifter_comparison/1pl_1tp_encounter/tp.swifter.in deleted file mode 100644 index 9c026369e..000000000 --- a/examples/helio_swifter_comparison/1pl_1tp_encounter/tp.swifter.in +++ /dev/null @@ -1,4 +0,0 @@ -1 -100 -1.01 0.0 0.0 -0.0 6.252003053624663 0.0 diff --git a/examples/helio_swifter_comparison/1pl_1tp_encounter/tp.swiftest.in b/examples/helio_swifter_comparison/1pl_1tp_encounter/tp.swiftest.in deleted file mode 100644 index e1506974a..000000000 Binary files a/examples/helio_swifter_comparison/1pl_1tp_encounter/tp.swiftest.in and /dev/null differ diff --git a/examples/helio_swifter_comparison/9pl_18tp_encounters/.idea/.gitignore b/examples/helio_swifter_comparison/9pl_18tp_encounters/.idea/.gitignore deleted file mode 100644 index 26d33521a..000000000 --- a/examples/helio_swifter_comparison/9pl_18tp_encounters/.idea/.gitignore +++ /dev/null @@ -1,3 +0,0 @@ -# Default ignored files -/shelf/ -/workspace.xml diff --git a/examples/helio_swifter_comparison/9pl_18tp_encounters/init_cond.py b/examples/helio_swifter_comparison/9pl_18tp_encounters/init_cond.py deleted file mode 100644 index 314e59420..000000000 --- a/examples/helio_swifter_comparison/9pl_18tp_encounters/init_cond.py +++ /dev/null @@ -1,184 +0,0 @@ -import numpy as np -import swiftest.io as swio -import astropy.constants as const -import sys -import xarray as xr - -# Both codes use the same tp input file -tpin = "tp.in" - -swifter_input = "param.swifter.in" -swifter_pl = "pl.swifter.in" -swifter_bin = "bin.swifter.dat" -swifter_enc = "enc.swifter.dat" - -swiftest_input = "param.swiftest.in" -swiftest_pl = "pl.swiftest.in" -swiftest_cb = "cb.swiftest.in" -swiftest_bin = "bin.swiftest.dat" -swiftest_enc = "enc.swiftest.dat" - -#Values from JPL Horizons -AU2M = np.longdouble(const.au.value) -GMSunSI = np.longdouble(const.GM_sun.value) -Rsun = np.longdouble(const.R_sun.value) -GC = np.longdouble(const.G.value) -JD = 86400 -year = np.longdouble(365.25 * JD) -c = np.longdouble(299792458.0) - -MU2KG = np.longdouble(GMSunSI / GC) #Conversion from mass unit to kg -DU2M = np.longdouble(AU2M) #Conversion from radius unit to centimeters -TU2S = np.longdouble(JD) #Conversion from time unit to seconds -GU = np.longdouble(GC / (DU2M**3 / (MU2KG * TU2S**2))) -GMSun = np.longdouble(GMSunSI / (DU2M**3 / TU2S**2)) - -t_0 = 0 # simulation start time -deltaT = 1.00 * JD / TU2S # simulation step size -end_sim = year / TU2S # simulation end time -t_print = deltaT #output interval to print results - -iout = int(np.ceil(t_print / deltaT)) -rmin = Rsun / DU2M -rmax = 1000.0 - -sys.stdout = open(swiftest_input, "w") -print(f'! VERSION Swiftest input file generated using init_cond.py') -print(f'T0 {t_0} ') -print(f'TSTOP {end_sim}') -print(f'DT {deltaT}') -print(f'CB_IN {swiftest_cb}') -print(f'PL_IN {swiftest_pl}') -print(f'TP_IN {tpin}') -print(f'IN_TYPE ASCII') -print(f'ISTEP_OUT {iout:d}') -print(f'ISTEP_DUMP {iout:d}') -print(f'BIN_OUT {swiftest_bin}') -print(f'OUT_TYPE REAL8') -print(f'OUT_FORM XV') -print(f'OUT_STAT REPLACE') -print(f'CHK_CLOSE yes') -print(f'CHK_RMIN {rmin}') -print(f'CHK_RMAX {rmax}') -print(f'CHK_EJECT {rmax}') -print(f'CHK_QMIN {rmin}') -print(f'CHK_QMIN_COORD HELIO') -print(f'CHK_QMIN_RANGE {rmin} {rmax}') -print(f'ENC_OUT {swiftest_enc}') -print(f'EXTRA_FORCE no') -print(f'BIG_DISCARD no') -print(f'ROTATION no') -print(f'GR no') -print(f'MU2KG {MU2KG}') -print(f'DU2M {DU2M}') -print(f'TU2S {TU2S}') -sys.stdout = sys.__stdout__ -param = swio.read_swiftest_param(swiftest_input) - -# Dates to fetch planet ephemerides from JPL Horizons -tstart = '2021-06-15' -ds = swio.solar_system_pl(param, tstart) -cb = ds.sel(id=0) -pl = ds.where(ds.id > 0, drop=True) -npl = pl.id.size - -ntp = 18 -dims = ['time', 'id', 'vec'] -tp = [] -t = np.array([0.0]) -clab, plab, tlab = swio.make_swiftest_labels(param) - -# For each planet, we will initialize a pair of test particles. One on its way in, and one on its way out. We will also initialize two additional particles that don't encounter anything -tpnames = np.arange(101, 101 + ntp) -tpxv1 = np.empty((6)) -tpxv2 = np.empty((6)) - -p1 = [] -p2 = [] -p3 = [] -p4 = [] -p5 = [] -p6 = [] - -for i in pl.id: - pli = pl.sel(id=i) - rstart = 2 * np.double(pli['Radius']) # Start the test particles at a multiple of the planet radius away - vstart = 1.5 * np.sqrt(2 * np.double(pli['Mass']) / rstart) # Start the test particle velocities at a multiple of the escape speed - xvstart = np.array([rstart / np.sqrt(2.0), rstart / np.sqrt(2.0), 0.0, vstart, 0.0, 0.0]) - # The positions and velocities of each pair of test particles will be in reference to a planet - plvec = np.array([np.double(pli['px']), - np.double(pli['py']), - np.double(pli['pz']), - np.double(pli['vx']), - np.double(pli['vy']), - np.double(pli['vz'])]) - tpxv1 = plvec + xvstart - tpxv2 = plvec - xvstart - p1.append(tpxv1[0]) - p1.append(tpxv2[0]) - p2.append(tpxv1[1]) - p2.append(tpxv2[1]) - p3.append(tpxv1[2]) - p3.append(tpxv2[2]) - p4.append(tpxv1[3]) - p4.append(tpxv2[3]) - p5.append(tpxv1[4]) - p5.append(tpxv2[4]) - p6.append(tpxv1[5]) - p6.append(tpxv2[5]) - -tvec = np.vstack([p1, p2, p3, p4, p5, p6]) -tpframe = np.expand_dims(tvec.T, axis=0) -tpxr = xr.DataArray(tpframe, dims = dims, coords = {'time' : t, 'id' : tpnames, 'vec' : tlab}) - -tp = [tpxr] -tpda = xr.concat(tp,dim='time') -tpds = tpda.to_dataset(dim = 'vec') - -ds = xr.combine_by_coords([ds, tpds]) -swio.swiftest_xr2infile(ds, param) - -# Swifter PL file -plfile = open(swifter_pl, 'w') -print(npl + 1, file=plfile) -print(0,GMSun,file=plfile) -print('0.0 0.0 0.0',file=plfile) -print('0.0 0.0 0.0',file=plfile) -for i in pl.id: - pli = pl.sel(id=i) - print(f"{int(i)} {pli['Mass'].values[0]} {pli['Rhill'].values[0]}", file=plfile) - print(f"{pli['Radius'].values[0]}", file=plfile) - print(f"{pli['px'].values[0]} {pli['py'].values[0]} {pli['pz'].values[0]}", file=plfile) - print(f"{pli['vx'].values[0]} {pli['vy'].values[0]} {pli['vz'].values[0]}", file=plfile) -plfile.close() - -# Swifter parameter file -sys.stdout = open(swifter_input, "w") -print(f"! VERSION Swifter input file generated using init_cond.py") -print(f"T0 {t_0} ") -print(f"TSTOP {end_sim}") -print(f"DT {deltaT}") -print(f"PL_IN {swifter_pl}") -print(f"TP_IN {tpin}") -print(f"IN_TYPE ASCII") -print(f"ISTEP_OUT {iout:d}") -print(f"ISTEP_DUMP {iout:d}") -print(f"BIN_OUT {swifter_bin}") -print(f"OUT_TYPE REAL8") -print(f"OUT_FORM XV") -print(f"OUT_STAT UNKNOWN") -print(f"J2 {param['J2']}") -print(f"J4 {param['J4']}") -print(f"CHK_CLOSE yes") -print(f"CHK_RMIN {rmin}") -print(f"CHK_RMAX {rmax}") -print(f"CHK_EJECT {rmax}") -print(f"CHK_QMIN {rmin}") -print(f"CHK_QMIN_COORD HELIO") -print(f"CHK_QMIN_RANGE {rmin} {rmax}") -print(f"ENC_OUT {swifter_enc}") -print(f"EXTRA_FORCE no") -print(f"BIG_DISCARD no") -print(f"RHILL_PRESENT yes") -sys.stdout = sys.__stdout__ - diff --git a/examples/helio_swifter_comparison/9pl_18tp_encounters/param.swifter.in b/examples/helio_swifter_comparison/9pl_18tp_encounters/param.swifter.in deleted file mode 100644 index ec31caa63..000000000 --- a/examples/helio_swifter_comparison/9pl_18tp_encounters/param.swifter.in +++ /dev/null @@ -1,26 +0,0 @@ -! Swifter input file generated using init_cond.py -T0 0 -TSTOP 365.25 -DT 1.0 -PL_IN pl.swifter.in -TP_IN tp.in -IN_TYPE ASCII -ISTEP_OUT 1 -ISTEP_DUMP 1 -BIN_OUT bin.swifter.dat -OUT_TYPE REAL8 -OUT_FORM XV -OUT_STAT UNKNOWN -J2 4.7535806948127355e-12 -J4 -2.2473967953572827e-18 -CHK_CLOSE yes -CHK_RMIN 0.004650467260962157 -CHK_RMAX 1000.0 -CHK_EJECT 1000.0 -CHK_QMIN 0.004650467260962157 -CHK_QMIN_COORD HELIO -CHK_QMIN_RANGE 0.004650467260962157 1000.0 -ENC_OUT enc.swifter.dat -EXTRA_FORCE no -BIG_DISCARD no -RHILL_PRESENT yes diff --git a/examples/helio_swifter_comparison/9pl_18tp_encounters/param.swiftest.in b/examples/helio_swifter_comparison/9pl_18tp_encounters/param.swiftest.in deleted file mode 100644 index fff05bacf..000000000 --- a/examples/helio_swifter_comparison/9pl_18tp_encounters/param.swiftest.in +++ /dev/null @@ -1,29 +0,0 @@ -! VERSION Swiftest input file generated using init_cond.py -T0 0 -TSTOP 365.25 -DT 1.0 -CB_IN cb.swiftest.in -PL_IN pl.swiftest.in -TP_IN tp.in -IN_TYPE ASCII -ISTEP_OUT 1 -ISTEP_DUMP 1 -BIN_OUT bin.swiftest.dat -OUT_TYPE REAL8 -OUT_FORM XV -OUT_STAT REPLACE -CHK_CLOSE yes -CHK_RMIN 0.004650467260962157 -CHK_RMAX 1000.0 -CHK_EJECT 1000.0 -CHK_QMIN 0.004650467260962157 -CHK_QMIN_COORD HELIO -CHK_QMIN_RANGE 0.004650467260962157 1000.0 -ENC_OUT enc.swiftest.dat -EXTRA_FORCE no -BIG_DISCARD no -ROTATION no -GR no -MU2KG 1.988409870698051e+30 -DU2M 149597870700.0 -TU2S 86400.0 diff --git a/examples/helio_swifter_comparison/9pl_18tp_encounters/pl.swifter.in b/examples/helio_swifter_comparison/9pl_18tp_encounters/pl.swifter.in deleted file mode 100644 index f02f6bc6f..000000000 --- a/examples/helio_swifter_comparison/9pl_18tp_encounters/pl.swifter.in +++ /dev/null @@ -1,40 +0,0 @@ -10 -0 0.00029591220819207776388 -0.0 0.0 0.0 -0.0 0.0 0.0 -1 4.9125474498983625e-11 0.0014751258227142052 -1.6306381826061646e-05 -0.008059842448018334 -0.4616051037329109 -0.03846017738329229 -0.02248719132054853 0.001934639213990692 -0.001904656977422976 -2 7.243452483873647e-10 0.006759134232034941 -4.0453784346544176e-05 --0.5115875215389065 0.5030818749037324 0.03642547299277956 --0.01425515725454357 -0.01452868630179309 0.0006232072038298823 -3 8.997011382166019e-10 0.010044625087011915 -4.25875607065041e-05 --0.1090020607540907 -1.009893805009766 4.823302918632528e-05 -0.01682491922568941 -0.001910549762056979 3.992660742687128e-08 -4 9.549535102761465e-11 0.0072467897902424765 -2.2657408050928896e-05 --1.342897929331636 0.9778655112682739 0.05343398538723887 --0.007712315645393206 -0.01011917844182223 -2.287744801261131e-05 -5 2.825345908631355e-07 0.3552720805286442 -0.0004673261703049093 -3.923184193414315 -3.168419770483168 -0.0746147877972047 -0.004655552638985802 0.006232623300954468 -0.0001300429201057457 -6 8.459715183006416e-08 0.4376460836930155 -0.00038925687730393614 -6.185794462795267 -7.804174837804826 -0.110498432926239 -0.004066833203985018 0.003458637040736611 -0.0002219310939327014 -7 1.2920249163736674e-08 0.46946272948265794 -0.00016953449859497232 -14.9290976575471 12.92949673572929 -0.1454099139559955 --0.002599557960646664 0.002795888198858545 4.391864857782088e-05 -8 1.5243589003230834e-08 0.78119478483336 -0.00016458790412449367 -29.54416169025338 -4.716921603714237 -0.5838030174427992 -0.0004792636209523189 0.00312573757291745 -7.53264045199501e-05 -9 2.1919422829042796e-12 0.05379680851617536 -7.943294877391593e-06 -14.54448346259197 -31.05223519593471 -0.8828000265625595 -0.002923077617691739 0.0006625916902153526 -0.0009142553677224461 diff --git a/examples/helio_swifter_comparison/9pl_18tp_encounters/pl.swiftest.in b/examples/helio_swifter_comparison/9pl_18tp_encounters/pl.swiftest.in deleted file mode 100644 index 0920f9b2e..000000000 --- a/examples/helio_swifter_comparison/9pl_18tp_encounters/pl.swiftest.in +++ /dev/null @@ -1,37 +0,0 @@ -9 -1 4.9125474498983625056e-11 -1.6306381826061645943e-05 -0.008059842448018333591 -0.46160510373291091524 -0.038460177383292291908 -0.02248719132054852949 0.0019346392139906921279 -0.0019046569774229759606 -2 7.243452483873647106e-10 -4.0453784346544178454e-05 --0.51158752153890652004 0.5030818749037323512 0.036425472992779560355 --0.01425515725454356988 -0.014528686301793089943 0.00062320720382988232425 -3 8.997011382166018993e-10 -4.25875607065040958e-05 --0.109002060754090704386 -1.0098938050097661101 4.8233029186325282966e-05 -0.016824919225689409317 -0.0019105497620569790936 3.9926607426871282392e-08 -4 9.549535102761465872e-11 -2.265740805092889601e-05 --1.3428979293316360977 0.97786551126827392366 0.053433985387238869258 --0.007712315645393206092 -0.0101191784418222296525 -2.2877448012611311785e-05 -5 2.8253459086313549713e-07 -0.00046732617030490929307 -3.923184193414314791 -3.1684197704831680298 -0.07461478779720470689 -0.0046555526389858022113 0.006232623300954467766 -0.00013004292010574569365 -6 8.45971518300641563e-08 -0.00038925687730393611812 -6.1857944627952665684 -7.804174837804826126 -0.11049843292623899582 -0.0040668332039850179674 0.0034586370407366113193 -0.00022193109393270141328 -7 1.2920249163736673984e-08 -0.00016953449859497231466 -14.929097657547099942 12.9294967357292893695 -0.14540991395599550673 --0.0025995579606466640267 0.0027958881988585450113 4.391864857782088156e-05 -8 1.5243589003230834746e-08 -0.000164587904124493665 -29.544161690253378794 -4.7169216037142369657 -0.58380301744279916587 -0.00047926362095231893815 0.00312573757291745008 -7.532640451995010825e-05 -9 2.1919422829042797324e-12 -7.943294877391593783e-06 -14.544483462591969669 -31.052235195934709822 -0.88280002656255951443 -0.0029230776176917390448 0.0006625916902153525834 -0.0009142553677224461557 diff --git a/examples/helio_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb b/examples/helio_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb deleted file mode 100644 index 0a95cb75e..000000000 --- a/examples/helio_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb +++ /dev/null @@ -1,697 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import xarray as xr\n", - "import swiftest\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading Swifter file param.swifter.in\n", - "Reading in time 3.660e+02\n", - "Creating Dataset\n", - "Successfully converted 367 output frames.\n", - "Swifter simulation data stored as xarray DataSet .ds\n" - ] - } - ], - "source": [ - "inparfile = 'param.swifter.in'\n", - "swiftersim = swiftest.Simulation(param_file=inparfile, codename=\"Swifter\")\n", - "swiftersim.bin2xr()\n", - "swifterdat = swiftersim.ds" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading Swiftest file param.swiftest.in\n", - "Reading in time 3.660e+02\n", - "Creating Dataset\n", - "Successfully converted 367 output frames.\n", - "Swiftest simulation data stored as xarray DataSet .ds\n" - ] - } - ], - "source": [ - "inparfile = 'param.swiftest.in'\n", - "swiftestsim = swiftest.Simulation(param_file=inparfile)\n", - "swiftestsim.bin2xr()\n", - "swiftestdat = swiftestsim.ds" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "swiftdiff = swiftestdat - swifterdat" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "swiftdiff = swiftdiff.rename({'time' : 'time (d)'})" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "swiftdiff['rmag'] = np.sqrt(swiftdiff['px']**2 + swiftdiff['py']**2 + swiftdiff['pz']**2)\n", - "swiftdiff['vmag'] = np.sqrt(swiftdiff['vx']**2 + swiftdiff['vy']**2 + swiftdiff['vz']**2)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "plidx = swiftdiff.id.values[swiftdiff.id.values < 10]\n", - "tpidx = swiftdiff.id.values[swiftdiff.id.values > 10]" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "swiftdiff['rmag'].sel(id=plidx).plot.line(ax=ax, x=\"time (d)\")\n", - "ax.set_ylabel(\"$|\\mathbf{r}_{swiftest} - \\mathbf{r}_{swifter}|$\")\n", - "ax.set_title(\"Heliocentric position differences \\n Planets only\")\n", - "fig.savefig(\"rmvs_swifter_comparison-mars_ejecta-planets-rmag.png\", facecolor='white', transparent=False, dpi=300)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "swiftdiff['vmag'].sel(id=plidx).plot.line(ax=ax, x=\"time (d)\")\n", - "ax.set_ylabel(\"$|\\mathbf{v}_{swiftest} - \\mathbf{v}_{swifter}|$\")\n", - "ax.set_title(\"Heliocentric velocity differences \\n Planets only\")\n", - "fig.savefig(\"rmvs_swifter_comparison-mars_ejecta-planets-vmag.png\", facecolor='white', transparent=False, dpi=300)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No handles with labels found to put in legend.\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "swiftdiff['rmag'].sel(id=tpidx).plot.line(ax=ax, x=\"time (d)\")\n", - "ax.set_ylabel(\"$|\\mathbf{r}_{swiftest} - \\mathbf{r}_{swifter}|$\")\n", - "ax.set_title(\"Heliocentric position differences \\n Test Particles only\")\n", - "legend = ax.legend()\n", - "legend.remove()\n", - "fig.savefig(\"rmvs_swifter_comparison-mars_ejecta-testparticles-rmag.png\", facecolor='white', transparent=False, dpi=300)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No handles with labels found to put in legend.\n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "swiftdiff['vmag'].sel(id=tpidx).plot.line(ax=ax, x=\"time (d)\")\n", - "ax.set_ylabel(\"$|\\mathbf{v}_{swiftest} - \\mathbf{v}_{swifter}|$\")\n", - "ax.set_title(\"Heliocentric velocity differences \\n Test Particles only\")\n", - "legend = ax.legend()\n", - "legend.remove()\n", - "fig.savefig(\"rmvs_swifter_comparison-mars_ejecta-testparticles-vmag.png\", facecolor='white', transparent=False, dpi=300)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "swiftestOOF", - "language": "python", - "name": "swiftestoof" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.10" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/examples/helio_swifter_comparison/9pl_18tp_encounters/tp.in b/examples/helio_swifter_comparison/9pl_18tp_encounters/tp.in deleted file mode 100644 index 6ae12da23..000000000 --- a/examples/helio_swifter_comparison/9pl_18tp_encounters/tp.in +++ /dev/null @@ -1,55 +0,0 @@ -18 -101 -0.0080829031543499848395 -0.46158204302657929174 -0.038460177383292291908 -0.025090740792557679473 0.00193463921399069207 -0.0019046569774229759036 -102 -0.008036781741686682343 -0.46162816443924253873 -0.038460177383292291908 -0.01988364184853937816 0.00193463921399069207 -0.0019046569774229759036 -103 --0.51153031124843428845 0.50313908519420458276 0.036425472992779560355 --0.007907923549198175514 -0.014528686301793089508 0.0006232072038298823056 -104 --0.5116447318293787516 0.5030246646132601196 0.036425472992779560355 --0.020602390959888965127 -0.014528686301793089508 0.0006232072038298823056 -105 --0.10894183284815117663 -1.0098335771038264852 4.8233029186325282966e-05 -0.023719359459963285097 -0.0019105497620569790364 3.9926607426871281197e-08 -106 --0.109062288660030232146 -1.009954032915705735 4.8233029186325282966e-05 -0.00993047899141553253 -0.0019105497620569790364 3.9926607426871281197e-08 -107 --1.3428658869178822233 0.97789755368202779806 0.053433985387238869258 --0.0046328365471693128824 -0.01011917844182222935 -2.28774480126113111e-05 -108 --1.3429299717453899721 0.97783346885452004926 0.053433985387238869258 --0.0107917947436170988396 -0.01011917844182222935 -2.28774480126113111e-05 -109 -3.9238450924224119731 -3.1677588714750708476 -0.07461478779720470689 -0.041537769840633231855 0.0062326233009544675795 -0.00013004292010574568976 -110 -3.9225232944062176088 -3.169080669491265212 -0.07461478779720470689 --0.03222666456266162771 0.0062326233009544675795 -0.00013004292010574568976 -111 -6.1863449551503970625 -7.8036243454496956318 -0.11049843292623899582 -0.026180002087518607773 0.0034586370407366112158 -0.00022193109393270140663 -112 -6.1852439704401360743 -7.80472533015995662 -0.11049843292623899582 --0.018046335679548570347 0.0034586370407366112158 -0.00022193109393270140663 -113 -14.92933741553430238 12.9297364937164918075 -0.14540991395599550673 -0.010495205578015229936 0.0027958881988585449277 4.3918648577820880246e-05 -114 -14.928857899559897504 12.9292569777420869315 -0.14540991395599550673 --0.015694321499308556966 0.0027958881988585449277 4.3918648577820880246e-05 -115 -29.544394452699595632 -4.7166888412680219034 -0.58380301744279916587 -0.014914899434230450767 0.0031257375729174499863 -7.532640451995010599e-05 -116 -29.543928927807161955 -4.717154366160452028 -0.58380301744279916587 --0.013956372192325811402 0.0031257375729174499863 -7.532640451995010599e-05 -117 -14.544494696107316045 -31.052223962419365222 -0.88280002656255951443 -0.0037110399802695879026 0.00066259169021535256356 -0.0009142553677224461283 -118 -14.544472229076623293 -31.052246429450054421 -0.88280002656255951443 -0.002135115255113890012 0.00066259169021535256356 -0.0009142553677224461283 diff --git a/examples/helio_swifter_comparison/9pl_18tp_encounters/cb.swiftest.in b/examples/helio_swifter_comparison/cb.swiftest.in similarity index 75% rename from examples/helio_swifter_comparison/9pl_18tp_encounters/cb.swiftest.in rename to examples/helio_swifter_comparison/cb.swiftest.in index 689d47628..058975b81 100644 --- a/examples/helio_swifter_comparison/9pl_18tp_encounters/cb.swiftest.in +++ b/examples/helio_swifter_comparison/cb.swiftest.in @@ -1,4 +1,4 @@ -0.0002959122081920778 +39.476926408897626 0.004650467260962157 4.7535806948127355e-12 -2.2473967953572827e-18 diff --git a/examples/helio_swifter_comparison/init_cond.py b/examples/helio_swifter_comparison/init_cond.py new file mode 100644 index 000000000..7e45bb4bb --- /dev/null +++ b/examples/helio_swifter_comparison/init_cond.py @@ -0,0 +1,59 @@ +import swiftest +import numpy as np +import sys +from astroquery.jplhorizons import Horizons +import astropy.constants as const +from scipy.io import FortranFile + +sim = swiftest.Simulation() + +sim.param['MU2KG'] = swiftest.MSun +sim.param['TU2S'] = swiftest.YR2S +sim.param['DU2M'] = swiftest.AU2M +sim.param['T0'] = 0.0 +sim.param['TSTOP'] = 1.0 +sim.param['DT'] = 0.25 * swiftest.JD2S / swiftest.YR2S +sim.param['CHK_QMIN_COORD'] = "HELIO" +sim.param['CHK_QMIN'] = swiftest.RSun / swiftest.AU2M +sim.param['CHK_QMIN_RANGE'] = f"{swiftest.RSun / swiftest.AU2M} 1000.0" +sim.param['CHK_RMIN'] = swiftest.RSun / swiftest.AU2M +sim.param['CHK_RMAX'] = 1000.0 +sim.param['CHK_EJECT'] = 1000.0 +sim.param['ISTEP_OUT'] = 1 +sim.param['ISTEP_DUMP'] = 1 +sim.param['OUT_FORM'] = "XV" +sim.param['OUT_STAT'] = "UNKNOWN" +sim.param['GR'] = 'NO' + +bodyid = { + "Sun": 0, + "Mercury": 1, + "Venus": 2, + "Earth": 3, + "Mars": 4, + "Jupiter": 5, + "Saturn": 6, + "Uranus": 7, + "Neptune": 8, + "Ceres": 101, + "Pallas": 102, + "Juno": 103, + "Vesta": 104 +} + +for name, id in bodyid.items(): + sim.add(name, idval=id) + +sim.param['PL_IN'] = "pl.swiftest.in" +sim.param['TP_IN'] = "tp.swiftest.in" +sim.param['CB_IN'] = "cb.swiftest.in" +sim.param['BIN_OUT'] = "bin.swiftest.dat" +sim.param['ENC_OUT'] = "enc.swiftest.dat" +sim.save("param.swiftest.in") +sim.param['PL_IN'] = "pl.swifter.in" +sim.param['TP_IN'] = "tp.swifter.in" +sim.param['BIN_OUT'] = "bin.swifter.dat" +sim.param['ENC_OUT'] = "enc.swifter.dat" +sim.save("param.swifter.in", codename="Swifter") + + diff --git a/examples/helio_swifter_comparison/mars_ejecta/.idea/.gitignore b/examples/helio_swifter_comparison/mars_ejecta/.idea/.gitignore deleted file mode 100644 index 26d33521a..000000000 --- a/examples/helio_swifter_comparison/mars_ejecta/.idea/.gitignore +++ /dev/null @@ -1,3 +0,0 @@ -# Default ignored files -/shelf/ -/workspace.xml diff --git a/examples/helio_swifter_comparison/mars_ejecta/cb.swiftest.in b/examples/helio_swifter_comparison/mars_ejecta/cb.swiftest.in deleted file mode 100644 index 2aafc8408..000000000 --- a/examples/helio_swifter_comparison/mars_ejecta/cb.swiftest.in +++ /dev/null @@ -1,4 +0,0 @@ -0.00029591220828563 -0.004650467260962157 -0.0 -0.0 diff --git a/examples/helio_swifter_comparison/mars_ejecta/config.swiftest.in b/examples/helio_swifter_comparison/mars_ejecta/config.swiftest.in deleted file mode 100644 index 3f459514f..000000000 --- a/examples/helio_swifter_comparison/mars_ejecta/config.swiftest.in +++ /dev/null @@ -1,33 +0,0 @@ -! -! Parameter file for the CHO run of the 4 giant planets and Pluto. -! -!NPLMAX -1 ! not used -!NTPMAX -1 ! not used -T0 0.0e0 -TSTOP 6000.000 ! simulation length in days -DT 1e0 ! stepsize in days -ISTEP_OUT 1 ! output cadence -ISTEP_DUMP 1 ! system dump cadence -CB_IN cb.swiftest.in -PL_IN pl.swiftest.in -TP_IN tp.in -IN_TYPE ASCII -BIN_OUT bin.swiftest.dat -OUT_TYPE REAL8 ! double precision real output -OUT_FORM XV ! osculating element output -OUT_STAT REPLACE -CHK_CLOSE yes ! check for planetary close encounters -CHK_RMIN 0.005e0 ! check for close solar encounters -CHK_RMAX 10000.0e0 ! discard outside of -CHK_EJECT -1.0 ! ignore this check -CHK_QMIN -1.0 ! ignore this check -!CHK_QMIN_COORD HELIO ! commented out here -!CHK_QMIN_RANGE 1.0 1000.0 ! commented out here -ENC_OUT enc.swiftest.dat -EXTRA_FORCE no ! no extra user-defined forces -BIG_DISCARD yes ! output all planets if anything discarded -ROTATION no -GR no -MU2KG 1.988409870698051e+30 -DU2M 149597870700.0 -TU2S 86400.0000 diff --git a/examples/helio_swifter_comparison/mars_ejecta/param.swifter.in b/examples/helio_swifter_comparison/mars_ejecta/param.swifter.in deleted file mode 100644 index f4035c4c0..000000000 --- a/examples/helio_swifter_comparison/mars_ejecta/param.swifter.in +++ /dev/null @@ -1,30 +0,0 @@ -! -! Parameter file for the CHO run of the 4 giant planets and Pluto. -! -!NPLMAX -1 ! not used -!NTPMAX -1 ! not used -T0 0.0e0 -TSTOP 6000.000 ! simulation length in days -DT 1e0 ! stepsize in days -ISTEP_OUT 1 ! output cadence -ISTEP_DUMP 1 ! system dump cadence -PL_IN pl.swifter.in -TP_IN tp.in -IN_TYPE ASCII -BIN_OUT bin.swifter.dat -OUT_TYPE REAL8 ! double precision real output -OUT_FORM XV ! osculating element output -OUT_STAT NEW -J2 0.0 ! no J2 term -J4 0.0 ! no J4 term -CHK_CLOSE yes ! check for planetary close encounters -CHK_RMIN 0.005 ! check for close solar encounters -CHK_RMAX 10000.0 ! discard outside of -CHK_EJECT -1.0 ! ignore this check -CHK_QMIN -1.0 ! ignore this check -!CHK_QMIN_COORD HELIO ! commented out here -!CHK_QMIN_RANGE 1.0 1000.0 ! commented out here -ENC_OUT enc.swifter.dat -EXTRA_FORCE no ! no extra user-defined forces -BIG_DISCARD yes ! output all planets if anything discarded -RHILL_PRESENT yes ! Hill's sphere radii in input file diff --git a/examples/helio_swifter_comparison/mars_ejecta/pl.swifter.in b/examples/helio_swifter_comparison/mars_ejecta/pl.swifter.in deleted file mode 100644 index ab7f6ec08..000000000 --- a/examples/helio_swifter_comparison/mars_ejecta/pl.swifter.in +++ /dev/null @@ -1,36 +0,0 @@ - 9 ! Solar system. Taken from JPL Horizons on 10-31-2012 00:00 (JD 2456231.5) - 1 2.9591220828563E-04 - .0 .0 .0 - .0 .0 .0 - 2 4.912576812862670E-11 1.475E-03 ! Mercury / Mass (Msun) / Rhill (AU) - 1.63104E-05 ! Radius (AU) - 3.347381871776144E-01 -2.106110537919978E-01 -4.792146121659843E-02 - 9.457239437449661E-03 2.510612575783642E-02 1.183593414707043E-03 - 3 7.243495778974390E-10 6.758E-03 ! Venus - 4.04538E-05 - -4.641166544325086E-01 5.473160240817795E-01 3.428518329144122E-02 - -1.549753193570599E-02 -1.319081534035637E-02 7.136685719563098E-04 - 4 8.997065158526820E-10 1.004E-02 ! Earth + Moon - 4.2587571E-05 - 7.844742229036105E-01 6.083466458892074E-01 -1.996912082982283E-05 - -1.081828010368904E-02 1.352675083743791E-02 2.330162751015549E-07 - 5 9.549592181631700E-11 7.246E-03 ! Mars - 2.26601E-05 - 3.248808297463504E-01 -1.392041319192106E+00 -3.714224198825128E-02 - 1.415678377567019E-02 4.380992498628390E-03 -2.558013868476858E-04 - 6 2.825362796108150E-07 0.3553 ! Jupiter - 4.67326E-04 - 1.873343037544675E+00 4.683322528183729E+00 -6.137078942429344E-02 - -7.104028854569467E-03 3.164193073442964E-03 1.458211211387848E-04 - 7 8.459765747874750E-08 0.4356 ! Saturn - 3.89257E-04 - -8.251865479985982E+00 -5.225008639958182E+00 4.193935221241906E-01 - 2.677374423933877E-03 -4.723961471952217E-03 -2.458643348128228E-05 - 8 1.292032638982330E-08 0.4686 ! Uranus - 1.69534E-04 - 1.992234896320000E+01 2.342619564376139E+00 -2.493547557095487E-01 - -4.936420700174518E-04 3.724868172847281E-03 2.027439791557233E-05 - 9 1.524368011623570E-08 0.7757 ! Neptune - 1.64601E-04 - 2.647158936403647E+01 -1.409652133490650E+01 -3.196444184043846E-01 - 1.449117851099529E-03 2.791630281764020E-03 -9.063088654405710E-05 diff --git a/examples/helio_swifter_comparison/mars_ejecta/pl.swiftest.in b/examples/helio_swifter_comparison/mars_ejecta/pl.swiftest.in deleted file mode 100644 index e1931fc7f..000000000 --- a/examples/helio_swifter_comparison/mars_ejecta/pl.swiftest.in +++ /dev/null @@ -1,33 +0,0 @@ -8 -2 4.91257681286267e-11 -1.63104e-05 -0.3347381871776144 -0.2106110537919978 -0.04792146121659843 -0.00945723943744966 0.02510612575783642 0.001183593414707043 -3 7.24349577897439e-10 -4.04538e-05 --0.4641166544325086 0.5473160240817795 0.03428518329144122 --0.01549753193570599 -0.01319081534035637 0.0007136685719563098 -4 8.99706515852682e-10 -4.2587571e-05 -0.7844742229036105 0.6083466458892074 -1.996912082982283e-05 --0.01081828010368904 0.01352675083743791 2.330162751015549e-07 -5 9.5495921816317e-11 -2.26601e-05 -0.3248808297463504 -1.392041319192106 -0.03714224198825128 -0.01415678377567019 0.00438099249862839 -0.0002558013868476858 -6 2.82536279610815e-07 -0.000467326 -1.873343037544675 4.683322528183729 -0.06137078942429344 --0.007104028854569467 0.003164193073442964 0.0001458211211387848 -7 8.45976574787475e-08 -0.000389257 --8.251865479985982 -5.225008639958182 0.4193935221241906 -0.002677374423933877 -0.004723961471952217 -2.458643348128228e-05 -8 1.29203263898233e-08 -0.000169534 -19.9223489632 2.342619564376139 -0.2493547557095487 --0.0004936420700174518 0.003724868172847281 2.027439791557233e-05 -9 1.52436801162357e-08 -0.000164601 -26.47158936403647 -14.0965213349065 -0.3196444184043846 -0.001449117851099529 0.00279163028176402 -9.06308865440571e-05 diff --git a/examples/helio_swifter_comparison/mars_ejecta/profmaker.sh b/examples/helio_swifter_comparison/mars_ejecta/profmaker.sh deleted file mode 100755 index 9b1adcd8c..000000000 --- a/examples/helio_swifter_comparison/mars_ejecta/profmaker.sh +++ /dev/null @@ -1,2 +0,0 @@ -#!/bin/bash -gprof ./swiftest_driver | /home/daminton/git/gprof2dot/gprof2dot.py | dot -Tpng -o swiftest_profile.png diff --git a/examples/helio_swifter_comparison/mars_ejecta/profswifter.sh b/examples/helio_swifter_comparison/mars_ejecta/profswifter.sh deleted file mode 100755 index a03493f54..000000000 --- a/examples/helio_swifter_comparison/mars_ejecta/profswifter.sh +++ /dev/null @@ -1,2 +0,0 @@ -#!/bin/bash -gprof ./swifter_rmvs | /home/daminton/git/gprof2dot/gprof2dot.py | dot -Tpng -o swifter_profile.png diff --git a/examples/helio_swifter_comparison/mars_ejecta/start.in b/examples/helio_swifter_comparison/mars_ejecta/start.in deleted file mode 100644 index d6d7c3850..000000000 --- a/examples/helio_swifter_comparison/mars_ejecta/start.in +++ /dev/null @@ -1 +0,0 @@ -param.in diff --git a/examples/helio_swifter_comparison/mars_ejecta/swiftest_rmvs_vs_swifter_rmvs.ipynb b/examples/helio_swifter_comparison/mars_ejecta/swiftest_rmvs_vs_swifter_rmvs.ipynb deleted file mode 100644 index 2ef9e28a5..000000000 --- a/examples/helio_swifter_comparison/mars_ejecta/swiftest_rmvs_vs_swifter_rmvs.ipynb +++ /dev/null @@ -1,241 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import swiftestio as swio\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading Swifter file param.swifter.in\n" - ] - } - ], - "source": [ - "inparfile = 'param.swifter.in'\n", - "param = swio.read_swifter_param(inparfile)\n", - "swifterdat = swio.swifter2xr(param)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading Swiftest file param.swiftest.in\n" - ] - } - ], - "source": [ - "param_file_name = 'param.swiftest.in'\n", - "config = swio.read_swiftest_config(param_file_name)\n", - "swiftestdat = swio.swiftest2xr(config)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "swiftdiff = swiftestdat - swifterdat" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "swiftdiff = swiftdiff.rename({'time' : 'time (d)'})" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "swiftdiff['rmag'] = np.sqrt(swiftdiff['px']**2 + swiftdiff['py']**2 + swiftdiff['pz']**2)\n", - "swiftdiff['vmag'] = np.sqrt(swiftdiff['vx']**2 + swiftdiff['vy']**2 + swiftdiff['vz']**2)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "plidx = swiftdiff.id.values[swiftdiff.id.values < 10]\n", - "tpidx = swiftdiff.id.values[swiftdiff.id.values > 10]" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "swiftdiff['rmag'].sel(id=plidx).plot.line(ax=ax, x=\"time (d)\")\n", - "ax.set_ylabel(\"$|\\mathbf{r}_{swiftest} - \\mathbf{r}_{swifter}|$\")\n", - "ax.set_title(\"Heliocentric position differences \\n Planets only\")\n", - "fig.savefig(\"rmvs_swifter_comparison-mars_ejecta-planets-rmag.png\", facecolor='white', transparent=False, dpi=300)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "swiftdiff['vmag'].sel(id=plidx).plot.line(ax=ax, x=\"time (d)\")\n", - "ax.set_ylabel(\"$|\\mathbf{v}_{swiftest} - \\mathbf{v}_{swifter}|$\")\n", - "ax.set_title(\"Heliocentric velocity differences \\n Planets only\")\n", - "fig.savefig(\"rmvs_swifter_comparison-mars_ejecta-planets-vmag.png\", facecolor='white', transparent=False, dpi=300)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No handles with labels found to put in legend.\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "swiftdiff['rmag'].sel(id=tpidx).plot.line(ax=ax, x=\"time (d)\")\n", - "ax.set_ylabel(\"$|\\mathbf{r}_{swiftest} - \\mathbf{r}_{swifter}|$\")\n", - "ax.set_title(\"Heliocentric position differences \\n Test Particles only\")\n", - "legend = ax.legend()\n", - "legend.remove()\n", - "fig.savefig(\"rmvs_swifter_comparison-mars_ejecta-testparticles-rmag.png\", facecolor='white', transparent=False, dpi=300)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No handles with labels found to put in legend.\n" - ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "swiftdiff['vmag'].sel(id=tpidx).plot.line(ax=ax, x=\"time (d)\")\n", - "ax.set_ylabel(\"$|\\mathbf{v}_{swiftest} - \\mathbf{v}_{swifter}|$\")\n", - "ax.set_title(\"Heliocentric velocity differences \\n Test Particles only\")\n", - "legend = ax.legend()\n", - "legend.remove()\n", - "fig.savefig(\"rmvs_swifter_comparison-mars_ejecta-testparticles-vmag.png\", facecolor='white', transparent=False, dpi=300)" - ] - }, - { - "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": "3.8.6" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/examples/helio_swifter_comparison/mars_ejecta/tp.in b/examples/helio_swifter_comparison/mars_ejecta/tp.in deleted file mode 100644 index d5eb0e3f8..000000000 --- a/examples/helio_swifter_comparison/mars_ejecta/tp.in +++ /dev/null @@ -1,601 +0,0 @@ - 200 - 6000200 - 0.321794727714005 -1.39371227734394 -3.555372224179648E-002 - 1.263074812292130E-002 3.554726326213714E-003 5.297001107625803E-004 - 6000201 - 0.327226184487893 -1.39016803345029 -3.472777857996821E-002 - 1.531652992677778E-002 5.307306923696688E-003 9.381180638637231E-004 - 6000202 - 0.327531202012097 -1.39478453402311 -3.768059236489047E-002 - 1.546735696093592E-002 3.024509922426058E-003 -5.220083559665117E-004 - 6000203 - 0.322202594471783 -1.39306474804903 -3.456946701305916E-002 - 1.283243270995610E-002 3.874920791552106E-003 1.016400989319078E-003 - 6000204 - 0.323275102327213 -1.39231827262319 -4.063286630727199E-002 - 1.336277331700188E-002 4.244042778378470E-003 -1.981867830972686E-003 - 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6000394 - 0.323831937101924 -1.38978966102672 -4.008662335125708E-002 - 1.363812057058993E-002 5.494406961976909E-003 -1.711758088260099E-003 - 6000395 - 0.323291350089045 -1.39111881770597 -4.052780949033966E-002 - 1.337080761514683E-002 4.837156987941165E-003 -1.929918658028077E-003 - 6000396 - 0.322050969058998 -1.39140096523577 -3.967628168503533E-002 - 1.275745599714884E-002 4.697638856237326E-003 -1.508849692523487E-003 - 6000397 - 0.322065436123730 -1.39461505964254 -3.660470991700977E-002 - 1.276460976469764E-002 3.108312708032919E-003 1.000094133619592E-005 - 6000398 - 0.325123972979440 -1.39448560316462 -4.010971214210824E-002 - 1.427701481097967E-002 3.172327182835760E-003 -1.723175182590891E-003 - 6000399 - 0.327666613656848 -1.39046306711613 -3.928421544112214E-002 - 1.553431618507078E-002 5.161416772263869E-003 -1.314978245571975E-003 diff --git a/examples/helio_swifter_comparison/param.swifter.in b/examples/helio_swifter_comparison/param.swifter.in new file mode 100644 index 000000000..5cf0cb8b9 --- /dev/null +++ b/examples/helio_swifter_comparison/param.swifter.in @@ -0,0 +1,26 @@ +! VERSION Swifter parameter file converted from Swiftest +T0 0.0 +TSTOP 1.0 +DT 0.0006844626967830253 +ISTEP_OUT 1 +ISTEP_DUMP 1 +OUT_FORM XV +OUT_TYPE REAL8 +OUT_STAT UNKNOWN +IN_TYPE ASCII +PL_IN pl.swifter.in +TP_IN tp.swifter.in +BIN_OUT bin.swifter.dat +ENC_OUT enc.swifter.dat +CHK_QMIN 0.004650467260962157 +CHK_RMIN 0.004650467260962157 +CHK_RMAX 1000.0 +CHK_EJECT 1000.0 +CHK_QMIN_COORD HELIO +CHK_QMIN_RANGE 0.004650467260962157 1000.0 +EXTRA_FORCE NO +BIG_DISCARD NO +CHK_CLOSE YES +J2 4.7535806948127355e-12 +J4 -2.2473967953572827e-18 +RHILL_PRESENT YES diff --git a/examples/helio_swifter_comparison/param.swiftest.in b/examples/helio_swifter_comparison/param.swiftest.in new file mode 100644 index 000000000..73818e198 --- /dev/null +++ b/examples/helio_swifter_comparison/param.swiftest.in @@ -0,0 +1,35 @@ +! VERSION Swiftest parameter input +T0 0.0 +TSTOP 1.0 +DT 0.0006844626967830253 +ISTEP_OUT 1 +ISTEP_DUMP 1 +OUT_FORM XV +OUT_TYPE REAL8 +OUT_STAT UNKNOWN +IN_TYPE ASCII +PL_IN pl.swiftest.in +TP_IN tp.swiftest.in +CB_IN cb.swiftest.in +BIN_OUT bin.swiftest.dat +ENC_OUT enc.swiftest.dat +CHK_QMIN 0.004650467260962157 +CHK_RMIN 0.004650467260962157 +CHK_RMAX 1000.0 +CHK_EJECT 1000.0 +CHK_QMIN_COORD HELIO +CHK_QMIN_RANGE 0.004650467260962157 1000.0 +MU2KG 1.988409870698051e+30 +TU2S 31557600.0 +DU2M 149597870700.0 +EXTRA_FORCE NO +BIG_DISCARD NO +CHK_CLOSE YES +FRAGMENTATION NO +ROTATION NO +TIDES NO +ENERGY NO +GR NO +YARKOVSKY NO +YORP NO +MTINY 0.0 diff --git a/examples/helio_swifter_comparison/pl.swifter.in b/examples/helio_swifter_comparison/pl.swifter.in new file mode 100644 index 000000000..aba56d467 --- /dev/null +++ b/examples/helio_swifter_comparison/pl.swifter.in @@ -0,0 +1,36 @@ +9 +0 39.476926408897625196 +0.0 0.0 0.0 +0.0 0.0 0.0 +1 6.5537098095653139645e-06 0.0014751254963649625977 +1.6306381826061645943e-05 +0.359124056979876094 -0.1001978128323056938 -0.041130148620746292965 +0.7664364270424182397 10.3592906410849091145 0.7762248217818495593 +2 9.663313399581537916e-05 0.0067591139064765566703 +4.0453784346544178454e-05 +-0.709853246614207567 0.109615461427968005625 0.042466530791895232277 +-1.166834223638398553 -7.334297883841826485 -0.033323414543104576783 +3 0.000120026935827952453094 0.010044751446422198828 +4.25875607065040958e-05 +0.26014404284638581455 -0.9828537227999029069 4.5807148740206238052e-05 +5.9724418390973225248 1.5843954077771575533 -9.4205748659356694786e-05 +4 1.2739802010675941456e-05 0.0072467561525263839036 +2.265740805092889601e-05 +-1.4908630412685239808 0.7412277078494349247 0.052104480532706012874 +-2.084278892390818102 -4.1405652065758745757 -0.035644761583621103612 +5 0.037692251088985676735 0.35527141892920671874 +0.00046732617030490929307 +4.0233930071159198505 -3.029555621945668964 -0.077433472926114965684 +1.626590141045528945 2.3340622087669935288 -0.046085347207395002237 +6 0.011285899820091272997 0.43765136932522125042 +0.00038925687730393611812 +6.274810893232299236 -7.7275164380757708216 -0.115372736553069593635 +1.4703000143673246375 1.2821134193800077011 -0.08078666716402813097 +7 0.0017236589478267730203 0.469520070575212966 +0.00016953449859497231466 +14.871766666738729157 12.9908875920566391216 -0.14444232402201501175 +-0.9541590491729433116 1.0172543087941671172 0.016087073469786578863 +8 0.0020336100526728302319 0.78126715446178621345 +0.000164587904124493665 +29.554624389819270647 -4.648140925388063671 -0.5854586034520335991 +0.1723572655485145611 1.1421549698170996955 -0.027459964210413734165 diff --git a/examples/helio_swifter_comparison/pl.swiftest.in b/examples/helio_swifter_comparison/pl.swiftest.in new file mode 100644 index 000000000..27814f389 --- /dev/null +++ b/examples/helio_swifter_comparison/pl.swiftest.in @@ -0,0 +1,33 @@ +8 +1 6.5537098095653139645e-06 +1.6306381826061645943e-05 +0.359124056979876094 -0.1001978128323056938 -0.041130148620746292965 +0.7664364270424182397 10.3592906410849091145 0.7762248217818495593 +2 9.663313399581537916e-05 +4.0453784346544178454e-05 +-0.709853246614207567 0.109615461427968005625 0.042466530791895232277 +-1.166834223638398553 -7.334297883841826485 -0.033323414543104576783 +3 0.000120026935827952453094 +4.25875607065040958e-05 +0.26014404284638581455 -0.9828537227999029069 4.5807148740206238052e-05 +5.9724418390973225248 1.5843954077771575533 -9.4205748659356694786e-05 +4 1.2739802010675941456e-05 +2.265740805092889601e-05 +-1.4908630412685239808 0.7412277078494349247 0.052104480532706012874 +-2.084278892390818102 -4.1405652065758745757 -0.035644761583621103612 +5 0.037692251088985676735 +0.00046732617030490929307 +4.0233930071159198505 -3.029555621945668964 -0.077433472926114965684 +1.626590141045528945 2.3340622087669935288 -0.046085347207395002237 +6 0.011285899820091272997 +0.00038925687730393611812 +6.274810893232299236 -7.7275164380757708216 -0.115372736553069593635 +1.4703000143673246375 1.2821134193800077011 -0.08078666716402813097 +7 0.0017236589478267730203 +0.00016953449859497231466 +14.871766666738729157 12.9908875920566391216 -0.14444232402201501175 +-0.9541590491729433116 1.0172543087941671172 0.016087073469786578863 +8 0.0020336100526728302319 +0.000164587904124493665 +29.554624389819270647 -4.648140925388063671 -0.5854586034520335991 +0.1723572655485145611 1.1421549698170996955 -0.027459964210413734165 diff --git a/examples/helio_swifter_comparison/swiftest_vs_swifter.ipynb b/examples/helio_swifter_comparison/swiftest_vs_swifter.ipynb new file mode 100644 index 000000000..9a487a59c --- /dev/null +++ b/examples/helio_swifter_comparison/swiftest_vs_swifter.ipynb @@ -0,0 +1,230 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import swiftest" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reading Swifter file param.swifter.in\n", + "Reading in time 1.000e+00\n", + "Creating Dataset\n", + "Successfully converted 1462 output frames.\n", + "Swifter simulation data stored as xarray DataSet .ds\n" + ] + } + ], + "source": [ + "swiftersim = swiftest.Simulation(param_file=\"param.swifter.in\", codename=\"Swifter\")\n", + "swiftersim.bin2xr()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reading Swiftest file param.swiftest.in\n", + "Reading in time 1.001e+00\n", + "Creating Dataset\n", + "Successfully converted 1463 output frames.\n", + "Swiftest simulation data stored as xarray DataSet .ds\n" + ] + } + ], + "source": [ + "swiftestsim = swiftest.Simulation(param_file=\"param.swiftest.in\")\n", + "swiftestsim.bin2xr()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "swiftdiff = swiftestsim.ds - swiftersim.ds" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "swiftdiff = swiftdiff.rename({'time' : 'time (y)'})" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "swiftdiff['dr'] = np.sqrt(swiftdiff['px']**2 + swiftdiff['py']**2 + swiftdiff['pz']**2)\n", + "swiftdiff['dv'] = np.sqrt(swiftdiff['vx']**2 + swiftdiff['vy']**2 + swiftdiff['vz']**2)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "plidx = swiftdiff.id.values[swiftdiff.id.values < 10]\n", + "tpidx = swiftdiff.id.values[swiftdiff.id.values > 10]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "swiftdiff['dr'].sel(id=plidx).plot.line(x=\"time (y)\", ax=ax)\n", + "ax.set_ylabel(\"$|\\mathbf{r}_{swiftest} - \\mathbf{r}_{swifter}|$\")\n", + "ax.set_title(\"Helio integrator \\n Planets only\")\n", + "#legend = ax.legend()\n", + "fig.savefig(\"helio_swifter_comparison-pl-rmag.png\", facecolor='white', transparent=False, dpi=300)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "swiftdiff['dr'].sel(id=tpidx).plot.line(x=\"time (y)\", ax=ax)\n", + "ax.set_ylabel(\"$|\\mathbf{r}_{swiftest} - \\mathbf{r}_{swifter}|$\")\n", + "ax.set_title(\"Helio integrator \\n Test Particles only\")\n", + "fig.savefig(\"helio_swifter_comparison-tp-rmag.png\", facecolor='white', transparent=False, dpi=300)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "swiftdiff['dv'].sel(id=plidx).plot.line(x=\"time (y)\", ax=ax)\n", + "ax.set_ylabel(\"$|\\mathbf{r}_{swiftest} - \\mathbf{r}_{swifter}|$\")\n", + "ax.set_title(\"Helio integrator \\n Planets only\")\n", + "fig.savefig(\"helio_swifter_comparison-pl-vmag.png\", facecolor='white', transparent=False, dpi=300)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "swiftdiff['dv'].sel(id=tpidx).plot.line(x=\"time (y)\", ax=ax)\n", + "ax.set_ylabel(\"$|\\mathbf{r}_{swiftest} - \\mathbf{r}_{swifter}|$\")\n", + "ax.set_title(\"Helio integrator \\n Test Particles only\")\n", + "fig.savefig(\"helio_swifter_comparison-tp-vmag.png\", facecolor='white', transparent=False, dpi=300)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "swiftestOOF", + "language": "python", + "name": "swiftestoof" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/helio_swifter_comparison/tp.swifter.in b/examples/helio_swifter_comparison/tp.swifter.in new file mode 100644 index 000000000..62acd79fc --- /dev/null +++ b/examples/helio_swifter_comparison/tp.swifter.in @@ -0,0 +1,13 @@ +4 +101 +2.3133253483335658451 1.6360857008750779862 -0.37450983998533471375 +-2.2458876465769251093 2.8378699270656317882 0.50346273267874514076 +102 +3.009555158239280992 -1.1130165423439479788 0.51172110509120705135 +0.70453633545041942506 2.5148434686651768256 -1.80152331908826862 +103 +-0.5218824163555056961 -3.1396467647675119217 0.7342355813480357929 +3.0582031698647593751 -0.12050283730110719834 -0.096945705299882042706 +104 +-2.075368356279947868 -0.76569201199778380573 0.27541025252901979448 +1.7615515330387480359 -3.9484151677488075983 -0.096278788580453326945 diff --git a/examples/helio_swifter_comparison/tp.swiftest.in b/examples/helio_swifter_comparison/tp.swiftest.in new file mode 100644 index 000000000..62acd79fc --- /dev/null +++ b/examples/helio_swifter_comparison/tp.swiftest.in @@ -0,0 +1,13 @@ +4 +101 +2.3133253483335658451 1.6360857008750779862 -0.37450983998533471375 +-2.2458876465769251093 2.8378699270656317882 0.50346273267874514076 +102 +3.009555158239280992 -1.1130165423439479788 0.51172110509120705135 +0.70453633545041942506 2.5148434686651768256 -1.80152331908826862 +103 +-0.5218824163555056961 -3.1396467647675119217 0.7342355813480357929 +3.0582031698647593751 -0.12050283730110719834 -0.096945705299882042706 +104 +-2.075368356279947868 -0.76569201199778380573 0.27541025252901979448 +1.7615515330387480359 -3.9484151677488075983 -0.096278788580453326945 diff --git a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/init_cond.py b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/init_cond.py old mode 100644 new mode 100755 index 5b5f5e76e..4c4ecb7da --- a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/init_cond.py +++ b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/init_cond.py @@ -1,3 +1,4 @@ +#!/usr/bin/env python3 """ For testing RMVS, the code generates clones of test particles based on one that is fated to impact Mercury. To use the script, modify the variables just after the "if __name__ == '__main__':" line @@ -5,7 +6,7 @@ import numpy as np from astroquery.jplhorizons import Horizons import astropy.constants as const -import swiftestio as swio +import swiftest.io as swio from scipy.io import FortranFile import sys @@ -140,7 +141,7 @@ print(f'BIN_OUT {swifter_bin}') print(f'OUT_TYPE REAL8') print(f'OUT_FORM XV') -print(f'OUT_STAT NEW') +print(f'OUT_STAT UNKNOWN') print(f'J2 {J2}') print(f'J4 {J4}') print(f'CHK_CLOSE yes') diff --git a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/param.swifter.in b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/param.swifter.in index 40cedba41..9174b181a 100644 --- a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/param.swifter.in +++ b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/param.swifter.in @@ -1,7 +1,7 @@ ! Swifter input file generated using init_cond.py T0 0 -TSTOP 0.2 -DT 0.00034223134839151266 +TSTOP 1.0 +DT 0.0006844626967830253 PL_IN pl.swifter.in TP_IN tp.swifter.in IN_TYPE ASCII diff --git a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/param.swiftest.in b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/param.swiftest.in index 914af3324..d43b46d64 100644 --- a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/param.swiftest.in +++ b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/param.swiftest.in @@ -1,7 +1,7 @@ ! Swiftest input file generated using init_cond.py T0 0 -TSTOP 0.2 -DT 0.00034223134839151266 +TSTOP 1.0 +DT 0.0006844626967830253 CB_IN cb.swiftest.in PL_IN pl.swiftest.in TP_IN tp.swiftest.in diff --git a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/pl.swifter.in b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/pl.swifter.in index 6f91ef4c9..a964c7824 100644 --- a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/pl.swifter.in +++ b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/pl.swifter.in @@ -1,8 +1,8 @@ 2 ! Planet input file generated using init_cond.py -1 39.47692640889762629 +1 39.476926408897625193 0.0 0.0 0.0 0.0 0.0 0.0 -2 0.00012002693582795246295385 0.010044724833237895015 +2 0.00012002693582795244940133 0.0100447248332378922085 4.25875607065041e-05 1.0 0.0 0.0 0.0 6.283185307179586 0.0 diff --git a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/pl.swiftest.in b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/pl.swiftest.in index d3786c3df..6f4bc1337 100644 Binary files a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/pl.swiftest.in and b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/pl.swiftest.in differ diff --git a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb index 8232207e5..c6d739ace 100644 --- a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb +++ b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb @@ -23,7 +23,7 @@ "Reading Swifter file param.swifter.in\n", "Reading in time 1.355e-01\n", "Creating Dataset\n", - "Successfully converted 397 output frames.\n", + "Successfully converted 199 output frames.\n", "Swifter simulation data stored as xarray DataSet .ds\n" ] } @@ -43,9 +43,9 @@ "output_type": "stream", "text": [ "Reading Swiftest file param.swiftest.in\n", - "Reading in time 2.002e-01\n", + "Reading in time 1.001e+00\n", "Creating Dataset\n", - "Successfully converted 586 output frames.\n", + "Successfully converted 1463 output frames.\n", "Swiftest simulation data stored as xarray DataSet .ds\n" ] } @@ -81,8 +81,8 @@ { "data": { "text/plain": [ - "[,\n", - " ]" + "[,\n", + " ]" ] }, "execution_count": 6, @@ -91,7 +91,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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"text/plain": [ "
" ] diff --git a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb index 0a95cb75e..f57828160 100644 --- a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb +++ b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb @@ -482,7 +482,7 @@ " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])\n", "Coordinates:\n", " id int64 4\n", - " * time (d) (time (d)) float64 0.0 1.0 2.0 3.0 4.0 ... 363.0 364.0 365.0 366.0
    • id
      ()
      int64
      4
      array(4)
    • time (d)
      (time (d))
      float64
      0.0 1.0 2.0 ... 364.0 365.0 366.0
      array([  0.,   1.,   2., ..., 364., 365., 366.])
    • " ], "text/plain": [ "\n", @@ -550,7 +550,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", + "image/png": 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\n", 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oO0ZhGAyxZtcisMdB3pQjz427BFCw9uWYi9Uh7F+lTVJjLzz8uMMF/Y+BnSYVeHcipgpDROaKyGYR2SYiv2rivIjIvdb5NSIyKeRcuoi8IiKbRGSjiBwTS9kNhqixezHkTQZn/JHnsgZDn2mw6nn9dt7d2fiWHuAedvqR5wYeDyWboaow9nIZIiJmCkNE7MD9wOnAKOAyERnVqNjpwFBruQ4Idda+B3hPKTUCGA9s7HChDYZo4/dA4VrtFdUc4y+F4o26XHdn41valTYp68hzA47V6z1fxlYmQ8TEsocxDdimlNqhlPICLwDzGpWZBzytNEuAdBHpJSKpwGzgMQCllFcpVR5D2Q2G6HBgPQR9kDep+TKjz9Mzv9e+FDu5OoLizVCyBUae0/T5HmO0q+2+VTEVyxA5sVQYeUB+yH6BdSycMoOAYuAJEVkpIo+KSFJHCmswdAj7Vuh17xYURmImDDkF1v4PgoHYyNURbHxLr0ec2fR5Rxz0GA37VsZOJkO7iKXCkCaONTbSNlfGAUwCHlRKTQRqgCPGQABE5DoRWSYiy4qLi9sjr8EQffatgsSswz2GmmLcRVC1D3Z/EVazwaDi+a/3cOnDX3Lhg4t5cMF23L5OVjYb39ID+6m9my/Te6K+J0fDeM03gFgqjAKgb8h+H6Cx72BzZQqAAqXUV9bxV9AK5AiUUg8rpaYopabk5ORERXCDIWoUbdBv1dLUu1EIw04HVzKsad0s5fUHuf6Z5fz61bWU1fjwBxV/e28T5z+wmKJKd5QEbyPle7SH1MizWy6XNwk8FToQo6HLE0uFsRQYKiIDRcQFXAq82ajMm8AVlrfUDKBCKbVfKVUI5IvIcKvcScCGmEluMESDYBCKNkHu6NbLuhL1w3bDm+Br+aH/+9fX8eGGA/zhrFG89+NZvH7TsTz23SnsOljDlU8spdrjj9IHaAMb39br1hRG74l6bcxS3YKYKQyllB+4GXgf7eH0klJqvYjcICI3WMXmAzuAbcAjwPdDmvgB8KyIrAEmAH+JlewGQ1Qo3w2+GsgdGV75sRfpt++tHzRb5L11+3lxWT43zRnM944biFg9l5NG9uCBb01iU2Elf3qrE96tNr0NuaO0m3BL5IwAR7xRGN2EmObDUErNRyuF0GMPhWwr4KZm6q4CWvBFNBi6OEXWg7tHGD0M0PMUknvCqmd17KVGuH0B/vT2Rkb1SuXHJw874vwJw3O5/vjBPLhgO6eN6cGJI3q0R/rwqS7Wc02O/0XrZe1OHVPLKIxugZnpbTDEinqFkTO85XL12B0w6Tuw5X09JtCIZ5bsZm95Hb87cyROe9M/5R+fPJThPVL41f/Wxs40tdGKxNuaOaqeXhNg/2ptsjN0aYzCMBhixYENOrhgXEr4dSZ9Vw+Qr3j6sMOVbh/3fbqNWUOzmTkku9nqcQ47f7twHEVVHh74dFukkreNDa9D1hA9zyIceo4FbzWU7+pIqWKLtxbWv6aXVsaguhNGYRi6FuV74JkL4O+D4ZWroepAZ0sUPYo2art+W0jvC0NP1Qoj4Gs4/MLXeyiv9fGL00a02sSEvumcPzGPRxftJL+0tq1St43qYh0ra/R5rXuC1VOvWA6s7zi5YsneFXDfVHj5Sr08ehK4KzpbqqhgFIah6+Ct0coifykMPlH78T9+GlTu72zJ2o/fCwe3Qo82KgyAKVfrbHzr/gfoORfPfbWHqQMyGNsnLawmfj53ODaBv723qe3Xbwsb3wQVhFHnhl8ndySIDQrXdZhYMePAenjqbB15+Io34KKnoHgTzP95Z0sWFYzCMHQdlj6qQ0lc/BRc8AhcNV8nFHrpisPerrslB7dC0N/2HgbA0FP0W/hn/4BggC+2l7DrYC3fntE/7CZ6pSVw3axBvL1mP2sKytsuQ7isfw2yhoY/sA/ahThzMBzo5gqj5iA8f6meP3PVezqk++hz4Zib9Hya4i2dLWG7MQrD0DXwe+GLe3W+58Fz9LE+U+Cce6Hga/jins6Vr70csAa8I1EYIjD7Z1rpbHidZ5bsJjPJxdwxPdvUzLWzB5GZ5OLOdzehOmJmdfkebY4ac0H45qh6eo7p3sEWlYJXr9Em1Eufg7SQqEczfwh2l34h6uYYhWHoGuxYALUlh2dlA/3wGXm2frsu290pokWFog06oGDWkMjqj5wH2cPxf/JXFm7cx0VT+hDnsLepiZR4Jz84cQiLtx/ks60lkcnREqueBxRMuLztdXuM1vNU3JVRFysmLHtcZw887Q7oM/nwc0nZupe48c1u7wlmFIaha7DhdYhL02MXjZl7p35jfe/XMRcrahRtgOxhOnFQJNhscMrtOEq38j15m29NC98cFcrl0/vRNzOBO9/dRDAYxV5GMAirntFzRzIikK3HWL0u6oYBHEp3wge/1yaoxi889Yw+D6r2695yN8YoDEPno5SeazDsNB3BtDFpfWD2z2HzO1Z6025I0YbwZ3g3g3/IqXwiM/ix6zX6EZkjQJzDzs9OHc7G/ZW8uTqKaWB3fa5NUpOuiKx+T8tTqruZpYJBeONmPWh/zn3Nm+KGnAQI7FgYU/GijVEYhs6neLM2Rw2c3XyZ6TdAUi588ufYyRUtPFX6YRrJ+EUIH28q4ld130HsLnj5u+Cpjqids8f1ZlSvVP7xwWY8/ihFtF36CMSnw4izIqufmqfrd7eB75VPw+5F2hSV3rf5cgkZer7Jrs9jJ1sHYBSGofOp/xENOK75Mq5EmPVTXba75YEuslxZ26kwnlmyG3taL2wXPqbdN1+9NiLvMZtN+NXpIygoq+PZJUfOIG8zxVt0sMFp1zaddjYcRLQnWDtda2s8firdMfKoqzkIH90K/WaG17MacBwULNVZF7spRmEYOp89X0JKb8gY0HK5yVdBSi9Y+PeYiBU1iqwJae0wSe0+WMPnW0u4dGo/7CPmwty/web58PS5erJcG5k1NJtjh2Txf59sbf8DdvE9OoDg9BtaL9sSPcdo010bB4aVUry3bj9n/98iRv/xfcbd+gFz7/6MjzZ08KTPj/6oB+nP/Gd4XmH9jgG/u/uZ3UIwCsPQ+exbqT1LWvvROeNhxo26l7F/dWxkiwZFG8GZpMOCRMhzX+3BbhMunWaZPaZfB+c9DHuXwf1TtRIt2xV2IiIR4VdzR1JW6+ORz9qRi6J8D6x+Uce8Smo+RElY9BgDvloo2xl2laIqN5c/8hU3PLOCWq+fn54yjF/MHU5QKa55ehkPf7a9fTI1R/7XsPK/+vsY7mTM3hP0ev+qjpEpBsQ0Wq3BcARuK3lOuK6Yk76rH45f3g/nP9yxskWLA+shd4T2dIoAty/AS8vyOWVkD3qkhph8xl+i3VE/+RN8eodeErP1g9sRr2dco7QSUUrHsMoZBv2Pg2GnMrZPBmeP782jn+/kOzP6k5sagTnp/d9qd+GZP4zosx1G6MB3a2HRgVX55Vz39DIq3T7uOG8Ml0zpi8MKwnj1cQO55aXV/GX+JvplJjJ3TK/2y1dPwA9v/1T3ik9oMvFn06T1hYTMbp3D3PQwDJ3L/jV63WtCeOUT0mHid3SYjIq9HSVVdIkkhlQI760rpKzW1/TM7p5j4PIX4eZl2jQy4gztvpvcQ6dGTeurezaZA7Unz8a34bXr4K6h8NqN/HoK+INB7nw3gpAh2z7Scwtm/6zlAd9wyRmhZQxj4HvxthIuf2QJcU4br990LN+a3r9BWYD2BvvXxRMY1yeNX7+6loPVURw3WPY4HFgLc//StkCSItBrvOlhGAwRU29a6jU+/DozboCv/wNfPwyn3NYxckWL6iLtAdYOhfHMkt0MzE5i5uCs5gtlD9VLawSD2gS45gVY+Qy917zAy33O46qVp7BoUh+OGxqmWcldAe/coicizvxBeHVaw5mgw4q0EoTwww0HuOm5FQzMSuK/V09rtmfkctj4x0XjOf2ez7n3463cNi/M6LktUVcOC/4KA2a1LV5WPb3Gw5f3aWcFu7P98sQY08MwdC5FG7W7bHJu+HUyBujZ38ufOMy11OsPUlHn65iwF5HSkDQpMoWxqbCSZbvLuHxaP2y2NobbaAqbTY8XnXEX/HgdTL2G8UWv81n8Lax86Q7q6sIIxR3ww6vXQXk+zLu/6bkzkdKzZU+pt1bv44ZnljOyVyovXj+jVTPasB4pXDq1L89+tYe95XXtl2/Rv6GuFE79c9vDn4DOhRL06/GmbohRGIbOpXhT+AmFQpnxff2Wu+5/7Cyp4dqnlzHqD+8x/rYPmPHXj/nXB5up9XZCLuvGtCeGFPDskj24HDYunNwnikJZJGXBGXchNy4m0GsSP/A9Tu0902BL8ylh8dXB/74HW96D0/8G/WZEV6YeY6Bij36Tb8Qrywv40Qsrmdw/g2evmU56Yniz5r8/R4djeXxR+IPpTVKeD0sehHGXHBrAbivZVmbEku4ZiNAoDEPnoZSetBeJu2nf6ZAzkpovH+Wc/1vEkh0HuXLmAH5zxgjG5qVz7yfbOPmfC1m8rQNiJrWFog16ILotPSiLao+f11bu5ayxvchIijCkSDjkjiD9urd4ot+dVNZ64LmL4LHTYPULULlP/528NToS7X9mw4Y34NQ79LyLaNNMboznvtrDz19ZzczB2Tx11TSS48K3puelJ3DWuF68uDSfOm87JirWTxo98XeRt1FvNuymCsOMYRg6j4oC8FZF1sMQoXzU5aQv/D0zEvdy6/WXkZeeAMB1s2HZrlJ+9eparnj8a/507hgum9YvysKHSTtCgvxveQHVHj/fnTkgujI1hQgXXn4N5947mDO87/Hjqk+wv3a9PudM1D0LlA5D/p3Xmo75FQ16hiiMAccC8OQXO7n1rQ2cOCKXB741iXhn24IuAlw6rR+vr9rHe+v3c97ECHprRZtgzYtw7A8hvR3fpfg0nae9ZGvkbXQiRmEYOo/izXqd0/YHqlKKX2wdxb3KyT8HryQ1/XuHnZ8yIJPXvj+Tm59bya9fXUutN8DVxw2MhtThEwxok9SU77VetnHVoOKpxbuY2C+d8X3Toy9bE6TEO7n78umc/6CfNb0u5rHzBEfhKj3XIi4V+k6FAbN1rvEOE6KXdj09sJZgUHHXB5t5cMF2Thvdg/+7bBIuR2RGkekDM+mXmcjLywoiUxif/R1cSXDsjyO6/mFkD+22PQxjkjJ0HqXWhLEIQn6/v76QD3Z42Js3l9QtrzUZVykl3slj353C6WN68qe3N/DMkhiHRz+4Hfx1h96a28BnW4vZUVLDlbHoXYQwtk8af5o3hoVbD3L7qiSYfr2Ok3TCL3WvoiOVBeiB5J5jCO5fxw9fWMmDC7Zz+fR+3H955MpCNytcOLkPi7cfbHua2qJNsO5VmHYdJGZGLEMD2cO0wuhKzhlhElOFISJzRWSziGwTkSNmvIjmXuv8GhGZFHJul4isFZFVIrIslnIbOoiyXeBIaLN9PxhU/PvDrQzOSWLAqTdps9b6V5ss67DbuOfSiZw0Ipffvb6OV1cUREHwMCm05pj0HNvmqk8u3kVuShynR3PCWZhcOq0f188exNNf7ubej2NvOqlMG4Fv/3rmr9nLr04fwR3njjlsjkWkXDC5DyLw2so2zt/57C5tljvm5nbLAGiF4a7Q2SS7GTFTGCJiB+4HTgdGAZeJSGPXkdOBodZyHfBgo/NzlFITlFJTOlpeQwwo26VdZNvonvjJpiI2H6jihycNxd5/hp7wteLpZsu7HDbu/9YkZg7O4hevrIndQHjhWrA5IbttYzQ7iqtZsLmYb8/o36636vbwy7kjOH9SHv/6cAv3fLQ1Zq7K763bz19XuYjDw9Nnp3PD8YORSNxXmyAvPYHJ/TJ4d11h+JWKN+tJotOu1V5l0aB+4LveJNuNiOW3cRqwTSm1QynlBV4A5jUqMw94WmmWAOkiEvtXLENsKNupZyC3kScX76JXWjxnjO2llc34y3QU0IPNxw2Kd9p56DuTGZidxA3PLGdbUVV7JA+PwrU6JEgbkyY9umgnLrut8wbq0RFt77pwPBdM6sO/P9rCL/+3Bq+/47LFFVW6uem5FdzwzAoq0nWP7LiEXVG/ztwxPdm4v5I9B8M0Sy26W08ojNbkRDjk5NENxzFiqTDygPyQ/QLrWLhlFPCBiCwXkes6TEpDbFDqUA+jDeSX1rJoWwmXT+uHs95MMe4SHVJi9fMt1k2Nd/L4lVNxOexc9eRSSqIZLqIpDqw7lEkuTAor3LyyrICLpvQhJyWKE+IiwG4T7rpwHD88aSgvLSvgwocWR13R1nr9PPzZdk7650I+3HCAn54yjLtvulBnX9y7PKrXAjhttM6D/v76MHoZVYWw9mWY+O32B1YMJaW3DkZpFEaLNNWvbNzPbanMsUqpSWiz1U0i0mS2HRG5TkSWiciy4uLuZyP8xlBTrCOTtlFh1GeJO29SyLtGai+dHnP1i62Gxu6bmchj351CcZWHa59ehtsXpQRCjak6ANUH2jx+8cjnOwgoxQ3Htx58LxbYbMJPTxnGQ9+eRH5pLWfcu4i/v7eJirr2hUQ/WO3hoYXbmfW3T/nL/E1M6p/B+z+ezQ9PGorL6YC8iR2iMPpmJjKyV2p4CuPrh/Ws7Bk3RlcImw2yBh1y+uhGxFJhFAChEcr6AI1zRDZbRilVvy4CXkObuI5AKfWwUmqKUmpKTk5OlEQ3RJ1Sa9ZtRvgmKaUUr6/cy9QBGfTJSDz85PjL9Qzh3V+02s74vuncfclEVuWX85MXV0U3t3U9B6ycB21QGCXVHp77ag/zJvSmb2Zi6xViyNwxvXj/J7M5fUxPHliwneP+9gm3vrmedXsrwh7fKKn28MaqvVz/32VM/8vH3PnuJkb1TuV/Nx7DU9+bxsDspEOF86bouRjeNno0hfNZRvdk+Z4yiqpaCIPirYGlj8HIsyBzUNRlIGPgod9ANyKW8zCWAkNFZCCwF7gUaBzT+k3gZhF5AZgOVCil9otIEmBTSlVZ26cCt8dQdkO0qY+l04Yexsb9VWwtquZP5zbhpjriTHAl69nJA2e12tbcMT357Rkj+fM7G/nruxv57Znty4Z3BPVBFdvgUnvfJ9vwBoLcNKftbsaxIDclnnsunci1swbxyOc7ePar3Ty5eBc9UuOY2DeDoT2SyUpykZHkwh9Q1PoCHKz2sL24hi2FVWw+oM1ZWUkurjp2ABdN6cuwHs1Ee82bDCqgPc2iHH7k5FG5/PujLSzcXMxFU5qJsrvqOXCXR88zqjGZA2Hzu3qujq3tExE7i5gpDKWUX0RuBt4H7MDjSqn1InKDdf4hYD5wBrANqAWusqr3AF6zvCUcwHNKqfdiJbuhAyjbBUibZs2+sXovDptw5tgm/CBciTp66IbX4QxrklUrXH3cQPJLa3nk8530yUiM7ozqvSv0rOiEjLCK7z5Yw7Nf7eaSqX0ZnJMcPTk6gDF5adxz6UT+ePZoPtlUxMItxazbW8H7GwqPmFogAn0zEhmck8Q5E3pz3JBsxuSlYW8tkGLeZL3euzzqCmNUr1RyU+JYsKUZhREMwJIHdC+n7/SoXruBjIEQ9EHl3vbNHI8xMZ3prZSaj1YKocceCtlWwE1N1NsBtCH+taHLU7ZT52toQw7oD9cfYOaQbDKbi6s04TJY9QxsegfGXdxqeyLCH84ezd5yN7e9tZ7e6QmcMqpH2PI0i1JQsAwGNjnM1iR3vb8Zh83Gj08KI0R5FyEzycWFk/s0BEYMBBXltV7Kan047UKCy05qvDOiUB6k9NC5PAqiP+VKRDh+WA7vry/EHwgeOcdj87t6fOGiP0QWkTYc6s1cpTu7lcIwM70NnUMbPaR2FFezo6SGk0e2MMmv30xI69eqt1Qodpvwf5dNZGxeGj94fgWr88vDrtsslfuguhD6hDdd6IttJby9Zj/XzR4UWda7LoLdJmQlxzEkN5n+WUnkpsRHpizq6TtN53vvgDkgxw/PodLtZ3VB+ZEnv7xPf49GnB316zZQ707ehnS0XQGjMAydQxsVxiebigCYM7wFhWGzwfhLYccC/dAOkwSXnUe/O5WclDi+9+TS9ruO7rXeiuvNKi3g8Qf4/evr6J+VyI0ndA3PqC7DgOOgan+HeBPNGpKDTWDB5kaelAXLtZKacWPHhkFJzdOTOruZp5RRGIbY46vTD4I2KoxhPZJb9x4af6nOZb3mpTaJlJMSx1NXTUNE+NajX7H7YE2b6h/G3uX6YRCGh9R9n2xjR0kNt88b07638aOR/sfp9a5FUW86LdHJpH4ZLNzSSGF8eZ8OtDjpO1G/5mHY7Pr73808pYzCMMSeMisIYJgutZVuH1/vLOXEEWGML2QN1gOVq55rsyljUE4yz14zHY8/yOWPfBV5hraC5VpZtJKJ7uudpdz/6TYumNSH44cZF/AjyB6qszF2gMIAOGF4DmsKKg5N4CzP17k+Jn+3bbm6IyVzoDFJGQyt0kaX2i+2luAPKk4cEWaQwgmXQ8lm2LeizaIN75nCf783nUq3j4seXMz24iOj4LZIMKBzZrcyflFW4+UnL66ib2Yit80b3WY5vxGI6JwYuxZ1zDjGMP19+qy+l/H1f/R62vVRv1aTZAyE0l3dKmqtURiG2FP/VhWmwli0rYQkl52J/dLDa3/0eeCIh5XPRiTe2D5pPH/tDLyBIBc99CXr9laEX/nAOvDVQJ+pzRbx+ANc/9/lFFd7uOfSiW3KHveNY8BxULWvQ2z9o3unkp0cp8cxPNWw/GkYdQ6kNzM3I9pkDtSRlms6OStkGzAKwxB7ynbpSXZhxuf5cvtBpg/KOhQ7qjXi02Dk2bDuFfC1MJu3BcbkpfHS9ceQ4LRz8X++ZP7a/eFVrDef9D+2ydOBoOIXr6zh612l3HXhOCbEKDlSt2WANQlz52dRb9pmE2YPy+bzrcUEVz4DngqYcYRXf8dR71rbjcxSRmEYYk8bwprvr6hjR0kNMwe3MbT0hMt1zoHN81sv2wyDcpJ59fszGd4zhe8/u4K/zt+IP9BKxNadn+sHQVrjuJrgCwT58YureGPVPn5+2nDmTTiyjKER2cP0fIwt73dI88cPy6Gi1oPviwd0r7Bv8z3DqFM/hteNBr6NwjDEntKd4Y9fbDsIwMzBbYwWOvB4SO2jB7/bQY/UeF64bgbfntGP/3y2gwseXMymwsqmCwcDsHvxobfiEIoq3Xz70a94a/U+fn36iC4b/qPLIQLD5mpXaV+ETggtMGtoDifbVxBXtRtmfD/q7bdIRn9AupVrrVEYhtgSDEL57rAVxuLtJWQmuRjRs41eKza7drHd/jFUhmlOaoY4h50/nzuW+y6fSEFZHWfeu4jfvLaW/RWNHmCFa7VZI0RhBIKKF77ew+n3fM6aggr+fcl4ru8ikWi7DcPn6lS3OxZGvenMJBc/SPiQYlsujDwn6u23iCMO0vp0K5OUGW0zxJbqA+B3h6UwlFIs3naQYwZlYWst9lBTTLgcPv8HrHkBjvtJ2+s34qxxvZk5OJt7PtrCc1/v4cWl+Zw4Ipe5o3sybWAmeTs/wwb4+s1k894KPttazMvLCthZUsPk/hn89fyxzQfbMzTPgFl6zGvLu1p5RJP8rxnrX8sd/m9xs0eRFusgwd1sLkarCkNEwg10Uq6UaqavbjBYlIUf1nxnSQ2FlW5mDokwNWbWYOg7Q5uljv1xVOICZSa5uG3eGK6ZNYhnv9rDK8sL+HDDAQAed73KQOnFiX9b1eApOW1AJj87dThnjO0ZtVSj3zgccTB4jh7HUCq68Z0W/h1/XAbPuk9iwrYSzhwX4wSf9VFruwnh9DCeQicxaumvpIAngeYTKxsMcGgORhipWb/YHuH4RSgTvwVv/gD2LIH+x0TeTiP6Zibyq9NH8IvThrOxsJK1uwqZ9dEGVmWfzQ+GDmVIbjKT+qUfmbfDEBkjzoaNb+mwHf1nRqfNfSth24fInN/h+DSZhVuKOkFhDNLJxDxVsZks2E5aVRhKqTmNj4lIT6VUGzKpGwwW9WHN01r3dV+8rYTeafEMyGrHQ3fMBfD+72DpI1FVGPXYbMLo3mmMrvoSgh6mnvYtpg4eFvXrfOMZeRa8kwyrno2ewvjsHxCfhn369cwq2MbCLcUopWLbEwz1lOo1LnbXjZBIB72viKoUhm8OpTv1QJ+jmRDlFsGg4ssdB5k5JLt9P2BXks7JvOENnaO5o9g8H1wph+IfGaKLKwlGnwvrX9fZ8NpL4TrY9DZMvxHiUzl+WA4HKj0NSZ5iRjeLWhupwpgnIjeLyPCoSmM4+gkzSu2G/ZWU1/raPv+iKaZerXMzL3+q/W01RTCo7etDTmpVERrawYRvgbcaNrzZ/rY++ZMOMjhdhwGZbcXy+qxxMMKOpqGH0T1cayNVGOejs+KdJyKPRlEew9FOmApj8XYdLqFd4xf1ZA2GISfDssch4Gt/e43Zv1Lnvxh+evTbNhyi3zH6Abv8ifbFX9qxELa8B7N+ComZAPRMi2dEz5Qjo9d2NPGpkJjdbTylIlIYSqkDSqn3lFJ3KqWuibZQhqMUTzXUFIWpMA4yKCeJnmlRSig09Vr9UN/0dnTaC2X962BzwNBTo9+24RAienJd/lew+4vI2ggG4IPf6gRJ02887NTxw3L4emcp1R5/FIRtA90oam1ECkNE7heRJ61t8ysxhEe5Fda8FQ8prz/I1ztLOTYavYt6hp6iFdXi+6IbHTTghzUvamVhva0aOpBJ39Ehzz/7R2T1v35YT7A8+Y9HpAc+aWQPfAHFwsZJlTqa+qi13YBITVJeoN7odmKUZDEc7YQZ1nxNQTm13gDHRjr/oilsdpj5Q50Nb2cUZwzv+FRPRpxwefTaNDSPMwFm3qzve/7XbatbugM+ug2Gnqa95xoxuX8GmUkuPtgQYwfQzEFQkQ9+T2yvGwGRKoxaIE1EnED3yWBu6FxKw5u098W2g4jA9IFRVBigB02Te0b+dtoUq56DhEz9EDLEhinf03/Ht38a/phUwAevfx/sTjjr301O/rPbhJNG5PLJpiJ8rQWZjCaZAwEF5Xtid80IiVRhlALbgfuBCI2Jhm8cZbsgLg0SMlos9sW2Esb0TiMjKcoeR854mPkD2PW5DhLYXmoOwqZ3YOxFxjsqlsSlwFn/ggNrYdHd4dV595d60t+Z/2oyknA9p47uSZXbz1c7SqMjazh0o6i1bVIYIpIuIk8A9f25p4GWU4sdXn+uiGwWkW0i8qsmzouI3GudXyMikxqdt4vIShHpgJFLQ4dTtktH6GxhXkWNx8/K/DKOHRLF8YtQplwFKb3gg9+3fyzj64ch4NFvvIbYMuJMbVZa+DfY1co766K7Ydlj2iQ57qIWix43JJt4py22ZqnM7uNa2yaFoZQqB+4EbgO+AoYCr4ZTV0Ts6B7J6cAo4DIRGdWo2OlWm0OB64AHG53/EbCxLTIbuhBlrYc1/3pXKb6Aiu74RSiuJDjxd3osY/1rkbfjqYavHoIRZ0HuiOjJZwifM/+pH7bPX6rzkDQm4If3fwsf/VFnYTz51labTHDZmT00hw83HEDFKnVqUo4OrtgNPKUiMUldDQxSSi1XSj2hlHorzHrTgG1KqR1KKS/wAjCvUZl5wNNKswRIF5FeACLSBzgTMPM+uiPBgLbRtqIwvthagsthY+qADvQ4Gn8Z9BijHySRzhpe8RS4y6MSBdcQIQkZ8J3XIKUnPH0OvPMzPRBeshXWvASPzIEv79Mu1Rc8ph0fwuCUUT3YX+Fm3d4YxVIVsTyljk6FUQbcICJ3i8hVIjIxzHp5QH7IfoF1LNwydwO/AGI4GmWIGlX7IeBt1aV20bYSpvTPIN4Z3o87Imx2OP3vWoF9fHvb69eW6oHzgbOhT9gWWUNHkNYHrvkYJl+pJ/Q9dgrcNwVevRY8lXDh43DGXWErC9DutTaBd9e1L49Km8gccHT2MJRSfwWuBW4FdgKzw6zalOG6cZ+vyTIichZQpJRa3upFRK4TkWUisqy4OMb+1IbmafCQGtBskZJqD5sKqzpu/CKUAcfCtOu1Wak+D3e4fPgH/TCae2fHyGZoG/Gp2vPpli1wybNw3sNaifxghR7naGMssswkF8cOyeatNftiZ5bKHKTH+IKB2FwvQtqsMETkdrTp6BRgr1LqnjCrFgChIUr7APvCLHMscI6I7EKbsk4UkWeauohS6mGl1BSl1JScnJwwRTN0OPUDei241C62wpkfFwuFAXryVuYgePkqKM9vvTxoW/nK/8IxN0GP0R0rn6FtJGXpqLbjL9E9vzb0Khozb0Ie+aV1rMwvj558LZExUPfAKxs/ErsWkfQw/gB4rLoXiMgjYVZdCgwVkYEi4gIuBRpHEXsTuMLylpoBVCil9iulfq2U6qOUGmDV+0Qp9e22ym7oREq3g90F6c1P2/liawmp8Q7G5KXFRiZXElz6vM4A+Pyl4K5ouXxFAfzvasgcDMf/MjYyGjqF00b3wOWw8eaqGD3Au0nU2kjnYTwOjASygAfCqaCU8gM3A++jPZ1eUkqtF5EbROQGq9h89AzybcAjQIyzshs6jIPb9VtUM299SikWbSvhmMFZ2CNJxxopuSPgoieheBM8dlrzk6fKdsHT88BXB5c8o5WN4aglJd7JSSNyeXvNPvyxmMSXOUivu/jAd6QK44fo5EsOIFyTFEqp+UqpYUqpwUqpO6xjDymlHrK2lVLqJuv8WKXUsibaWKCUOitCuQ2dxcFtkDWk2dPbi6vZW17HcUM7wYw45CT49v+0OeA/x8PXj4Db8pDxVMPSR/XxmmL41svQo7E3uOFoZN6EPEqqvbGJYJuaBzZnl5+LEanC2A7EA28opcId9DZ8UwkG9JtT1qBmi3yyqQiAE0fkxkqqwxl0Alz7MeSMgPk/g78NgLuGwt/6wzu3QO5IuPZT6Dejc+QzxJyTRuaSnRzH81+HOb7VHmx2Pam1i5ukwsnp3RTr0e6vV4vIXUqpqVGUyXC0UVGgZ0S30MP4ZFMRw3ukkJeeEEPBGpE9FK6aDwVLYdtHOkNfUo7ugfQ7ps3eNobujdNu48LJfXjk8x0UVrijF2q/ObrBXIxIFcZg9HyMh621wdA8pdv1uhmFUen2sWxXGdfObr4HEjNEoO80vRi+8Vw6tS8PLdzOy8vy+cFJQzv2YpmDYM8SHbKmi76cRGqSyldKvYkenDahOgwtc9BSGJmDmzz9+ZYS/EHVeeYog6EZBmQnceyQLJ7/ek/HR7DNHAjeKqg92LHXaQeRKoy5VqiOh4B/R1Eew9HIwe3gTNIhHJrgk01FpCU4mdg3PbZyGQxhcNXMgeyrcDN/bQfP/O4GUWsjVRjpwC/RoTq6ftYPQ+dycJse8G6imx0MKhZuKeL4YTk47JF+HQ2GjuPEEbkMyknikc93dOzM73rX2i488B3pL/R2tIfUZqBrz2U3dD6l25sdv1izt4KSaq8xRxm6LDabcO2sQazbW8mX2zvQXJTRH8QOJVs67hrtJGyFISLj67eVUgVKqY+s7SPyWhgMDfg9ULa7WYXx8cYD2ASOH2bCuBi6LudNzCMnJY67P9racb0MRxxkDYaiyIeFlVIUVbrZVlQVRcEO0RYvqZUisg54BnheKRUD52RDt6dkK6iAnt/QCKUU76zdz/SBWdHPrmcwRJF4p50fnjiE37+xngVbipkzvIN6xLmjoHBNm6ut21vBf7/czcItxRRWuslJiWPpb0+OunhtMUn9E0hCJ1DaKSKfiohJNWZomfq3pdwjZ0dvOVDNjuIazhjXK8ZCGQxt55Kp/eibmcBd720mGOygXkbuKD3oHWaelq0Hqvju419z1v8t4u01+5jcP4Nbzx7FX84b2yHihd3DUEr9HPi5lTb1OnSI81nouFIGQ9MUbwSbo0mT1Py1+xGBuaOb9p4yGLoSLoeNW04Zzo9fXMXLy/O5ZGrzgTQjJnckoKB4M+RNaraY1x/kno+38NDCHSS57Pzq9BFcPr0fqfHO6MsUQtgKQ0SygPOAC4E56NwVzURqMxgsijZqZeE40uQ0f+1+pg3IJCclrhMEMxjazrwJvXnu6z38Zf4mThrZg+zkKH9360PmF21sVmFsK6rixy+uYt3eSi6c3IffnDGSzBiZdNtikioE/gNMAZ4AZiulWk6fZjAUbWxy/GJzYRVbi6o505ijDN0IEeEv542h1uvnT29viP4FMgaAIx6KjmxbKcXTX+7izHsXsbesjoe+PZl/XDQ+ZsoC2jbo/Rp6wPtdpZSvg+QxHE14a3VY8PGXHXHq1RUFOGzCmWONwjB0L4bkpnDznKH8+6MtzB6awwWT+0SvcZsdcoYfoTCKKt38/JU1LNxSzPHDcrjrwnHkpnZwbKsmaMsYxsUdKYjhKKRkM6B0zokQ/IEgr63cywnDc8mKdpfeYIgBN584hC93lPC719cxrk8aQ3ukRK/x3NGw49OG3ffW7efXr66l1hvg9nmj+c6M/kgnxZoyU2sNHUczHlKLtpVQVOXhwsl5nSCUwdB+7DbhnksnkhRn58onllJY4Y5e47kjoWo/5SWF/OiFldzwzAryMhJ454ezuOKYAZ2mLCCynN5nd4QghqOQoo06LWujPN7/W7GX9EQnc8zsbkM3pkdqPE9cOY3yWi9XPP4VxVVRipLUaxwAv33gWd5Zs58fnTSUV288liG5ydFpvx1E0sO4I+pSGI5OCtdqe6z9kOWzpNrD++sKOXdCHnGOptO1GgzdhbF90njkiinkl9Zx3gNfsK2oul3t7Syp4YcL9fZU1y7euPlYfnLKMFyOrmEMikSKrhmo3dC1UAr2rYTeEw87/OLSfLyBIN+e0b+TBDMYosvMIdm8cN0M3L4A8+5bxDNLdrc5fEh+aS23vrmeU/+9kI93uilP6McV/Q8yundaB0kdGZEkUOrAcI2Go4by3eAuP0xh+ANBnl2ym2OHZHWJ7rXBEC3G903nzZuP4xevrOF3r6/j+a/3cNOcIZw0MrfZnrTXH2Tx9hJeXl7Au2v3YxPhwsl9+Ompw0j/YDrsXhzjT9E6kWbcMxhaZt9KvQ5RGB9vKmJfhZs/nD26k4QyGDqO3ukJ/Pfqaby6Yi/3fbqN7z+7guQ4BzMGZTIkN4X0RCdKQVGVmy0Hqli1p5wab4CUeAfXzhrEd2cOoHd9iuLek2Dty1B1AFJ6dO4HC8EoDEPHsG8l2JwNHlJKKR5auJ289AROHmkGuw1HJyLCBZP7MG9Cbz7fWsL76wtZvruMBZuL8VvxpxJddgZkJXHepDzmDM/luKHZR/ZC6l+09q2A4afH+FM0TyQK40DUpTAcfexbpcMcOPQ8iyU7Slm5p5w/nTvGJEoyHPU47DbmjMht8AQMBBVef5CgUiS67K27xvYaB2LTL15dSGG0+ZerlDol0ouJyFwR2Swi20TkiDwaornXOr/GCnSIiMSLyNcislpE1ovIbZHKYIgBSmmFEWKOemDBNrKT47gomrNiDYZugt0mJLjsJMU5wptH4UqCnJGwd3nHC9cGYvaqJyJ24H7gdGAUcJmINI55fTow1FquAx60jnuAE5VS44EJ6JziM2IhtyECSneApwJ6TwBg+e5SPt9awjWzBhLvNK60BkNY9J0G+V9DsOskNY2lbWAasE0ptUMp5QVeAOY1KjMPeFpplgDpItLL2q93cHZai/HW6qrUvxX1noRSir/M30RuShxXHGNcaQ2GsBlwHHgqI0qo1FFEpDBE5Kch28PDrJYHhGbpK7COhVVGROwisgooAj5USn3VjGzXicgyEVlWXFwcpmiGqLL7C4hLgx6jeX/9AZbvLuMnpwwj0WV8LAyGsOl/rF7vWtS5coTQJoUhIuki8gRwkYh8X0SOA8LN6d2U4a5xL6HZMkqpgFJqAtAHmCYiY5q6iFLqYaXUFKXUlJwckye6U9i9GPrNwB2Av767kcE5SWbswmBoK6m9dC6ZXV90tiQNtElhKKXKlVJXAbcCX6HHGl4Ns3oB0Ddkvw+wr61llFLlwAJgbpjXNcSS6iIo2QL9Z3LfJ9vYfbCW2+cZzyiDISL6H6tfwLrIOEakv2KfUmo58B4wP8w6S4GhIjJQRFzApcCbjcq8CVxheUvNACqUUvtFJEdE0gFEJAE4GdgUoezdA6Vg6WPwytXw5QPgi2I0zI7Emp26J2UC//lsO+dPyuPYIdmdLJTB0E0ZMEs7kBSu7WxJgMgn7s0VkS1or6fdwA9bq6CU8ovIzcD7gB14XCm1XkRusM4/hFY+ZwDbgFrgKqt6L+Apy9PKBryklHo7Qtm7B2//BJY/Ack9Yd0rsP41+PYrEN+1Ysscwe7FKGci3/9UkRLv5HdnNnaEMxgMYTPAGsfYubDB67AziVRhpAO/BH4BXBNuJaXUfBr1SCxFUb+tgJuaqLcGmNj4+FHLto+0sjjmZjj1z7DhDfjf1fDK9+Dyl8HWhc07uxezI3406wpreeLKqTFNH2kwHHWk9oYeY2DL+3DsjzpbmohNUrcDryulNgNdw7h2NLHwLkjvDyf9AURg9Lkw985DiqSrUnUADqzl1dKBXHXsAJPvwmCIBsNPhz1LoLa0syWJWGH8GviOtf1pSwUNbWT/ashfAtNvaAirAcDUa2Dg8fDhH6A8v/n6nciur14HoLjX8fz69JGdK4zBcLQw7HRQAdj6YWdLErHC8AI7rO05UZLFALD2FR20b8Llhx8XgXPu1YPh7/6yc2RrgXV7K9i66H8USxa/vvKiLpPwxWDo9vSeCMk9YMu7nS1JxAqjFkgTESfQL4ryfLNRCja9DQNnQ0L6keczBsCsn8Dmd7pUrPzV+eV895FFzGQNCaNPJyM5rvVKBoMhPGw2GHYabP0I/N7OFSXCen8EtqO9pJ6NnjjfcEq26jhMI85ovsyMmyClF3zwe61gLDz+AHXeAP5AMAaCHuK9dfu55OEvOc61lSTqSB57VkyvbzB8Ixh5DnirYOsHnSpGpF5SP1RK/QvaFBrE0Bq7PtPrwSc2X8aVCHN+C2/eTOnSl3igaCyfby1ha1EVQQU2gQFZSYzrk8bxw3OYNTSH7A5443f7Atz57iaeXLyLSf3SubPPXlgdp3tHBoMhugyao81Sq5+HkZ33UtYmhWFNnnsQ6C8ibmA12q32qpbqGcJk1xeQ0hsyBrZYTI2/jPJP7qb6nd/xrO+fTB3Sk1NH9yA5zkGV28/Woio+31rC66v2IQKT+2Vw2uienDa6J/2yEtslolKKjzYWccc7G9h1sJarjh3AL08dSvz/XQVDTtZhmQ0GQ3SxO2DsRfDVf6DmICRldYoYbVIYSqlyESkAPkOHBhlP+KFBDC2hlB6XGDhLD3C3wD8+2sb60vN50vV3vjxlF+lzzjmiTDCoWLevgk82FfHB+gPcMX8jd8zfyKheqZw2uidzx/RkWI/k8GLzA3XeAB9sKOSxRTtZU1DB4Jwknrl6OscNzYbtn0D1ARh/SUQf3WAwhMGEy+HL+/RE3unXd4oIkZikDgI3AMPRPYyCqEr0TaV8D1QXQr+W03w8s2Q393+6ncumnoWq/or0r/8NM644YpDcZhPG9UlnXJ90fnzyMPYcrOWDDYW8t66Quz/ewr8/2kJeegIT+qUzvk8a/TKT6JkWT1qCk0AwiMcfpLDCzbaiapbuKuOLbSXU+QIMyk7ijvPGcPGUvjjr40OteUlHpx16WgfdHIPBQI/R0HMcLH8Kpl3X6otlR9BmhaGUulNEPgG2oJMZzQJWRlmubx77Vuh170nNFtlUWMntb21gzvAc/nzeOOTAn+A/s2HRv+GUlpMQ9stK5JpZg7hm1iCKqtx8uOEAi7cdZNWect5Zs7/FugOzkzh/Uh5nju3FjEFZ2GwhX1RvLWx8C0afB874sD+uwWCIgOk3wBvfh+0faxNwjGmzwhCR29GxoFYBq5RSC6Is0zeTfSvB7tJvEU2glOLXr64lNcHBPy4aj90m0Gs8jLsEljyoJ/al922ybmNyU+L51vT+fGu6TmhUWuNlX3kdhRVuKt0+HHYbTpuQmxrPwOyklsN7bHgdvNVaDoPB0LGMvQg++RN8cW/3UBhKqT+ISA90bKcLRGSwUura6Iv2DWPvCq0sHE17NL2//gAr95TztwvGkhXq9XTi72D96/DpHXDeQ03WbY3MJBeZSS7G5LUxsKFSWlnljNDZwQwGQ8ficMGMG3XEh30r9aS+GBLpPIzrgZVKqTuNsogCSunwxT3HNXnaHwjy9/c3MSQ3mQsmNUpElN4PZtwAq1/QYUViye7FOn3kjBs7xZ5qMHwjmXwlxKfDR7ceNhcrFkSqMB4HbhSRu0RkQhTl+WZSUwzucshtOv7SG6v2saO4hp+fNrzpRETH/RQSM+GdWyAYw4l7Sx6AhExjjjIYYkl8Gsz5DexYAJtjGy4kUoXxQ7Q5ywHcGz1xvqEUW7mgcpqeA/n0l7sYkpvMqaN6NF0/IR1O+wsULIVlj3WMjI0pXAub3oEp3wNnQmyuaTAYNFO+B9nD4YPfgq8uZpeNVGFsB+KBN5RSZmpveynerNc5I444tTq/nNUFFXxnRv+W50yMu0RHs/34dqhs2espKnx0G8SnwsybO/5aBoPhcOxOOOPvOpTQ+7+N2WUjVRjrgU+Aq0VkaRTl+WZSvBlcKTpGVCOeWbKbRJed8ybltdyGCJz1bwh44d2fd6xtc9ci2PahNoUlZHTcdQwGQ/MMOgFm/kBbFTa8EZNLRqowBqPNUQ9jwoK0n+JN2hzVqAdR6fbx5up9nDsxj9R4Z+vtZA2GE36t50Ws/G/HyOr3wPyfQ2pep802NRgMFif+AfImw6vXxySCdaQKI18p9SY69/bGKMrzzaR4c5PmqA/XH8DjD3Lh5D5NVGqGmT/Qpqn5v4CiDvjTfPYPKNqgezNm7MJg6FwcLrjsRT0H69mLYednHXq5SBXGXBHpAzwE/DuK8nzzqC2FmqImB7zfXrOPvPQEJvZND789mx3OfwTikuH5y6CmJHqyFiyDRf+CcZfq+PwGg6HzSc6BK96A1F7w9Dz47C4I+DrkUpEqjHTgl8AvAE/UpPkmUrJFrxv1MMprvXy+tYSzxvUKO0BgAyk94NLnoHKfVhre2vbLWbEXXrhcm6Lm/rX97RkMhuiR2huu/QRGnQuf/BkePDY6v/tGhK0wRGR8yO7taA+pzUAg6lJ9k2hwqR122OH31hXiDyrOGtc7snb7ToPzH9auts9dDJ7qyGWsLYXnLwFvDVz+op7zYTAYuhZxKXDh43Dp8zDqHJ07J8q0pYexUkTWiMgvAFFKfQSglPpVuA2IyFwR2Swi20TkiHqiudc6v0ZEJlnH+4rIpyKyUUTWi8iP2iB316Z4MzgSIO3wTLfvriukf1YiY/JSI2979LlaaexeDE+fo3scbaWqEJ48E4q3wEVPNTu50GAwdAFEdMbOE3/XIc23RWH8E0gC7gR2Wg/w74VbWUTs6JSupwOjgMtEZFSjYqcDQ63lOnSyJgA/cItSaiQwA7ipibrdk+JNundhO/SncPsCLNlxkDnDc9tujmrMuIvhkv9qxfTQLNg0P3yX260f6Tplu+FbL8HQ2Ac7MxgMXYewFYZS6udKqcHAFOBRYDbarTZcpgHblFI7lFJe4AVgXqMy84CnlWYJkC4ivZRS+5VSKyw5qtCeWa1MTOgmFG85Yvxi6a5SPP4gxw/Lic41RpwJ136qUzy+cBk8c74OK9BUGBGldCDEF74Fz14ASdlwzYfa59tgMHyjCTtarYhkAecBFwJzAAH2tOFaeUB+yH4BMD2MMnlAw9RlERmAjpT7VTNyXofundCvX7+minQd3JVQWXCEh9TnW0tw2W1MHxTFsYKcYXD9Qlj6KCz8m/amSOmlxzrS+uqZoxV7oeBrKNsFcalwwm/g2B8a91mDwQC0Lbx5IbpHUgY8ATyjlFrUhvpN2VYa20ZaLCMiycD/gB8rpSqbuohS6mGsns+UKVNiG8qxrZRs1evswxXGZ1uKmTIgg0RXJAkRW8Du1JFlJ18FG9/Ugcv2LoetH+oJeal50GMUHPcTGDXPzOI2GAyH0ZYn0mvAM8C7SqlInHwLgNAMP32AxqOwzZYRESdaWTyrlDo68og3eEgdMkkVVbrZVFjFr04/ciJf1HDG67GNcRd33DUMBsNRR6sKQ0Tq7To/s9a9mhmILW/urd9iKTBURAYCe4FLgcsblXkTuFlEXkCbqyqUUvtFX/AxYKNS6l+tydxtKN6ks+xlDGg49NlWPdFu1tDsThLKYDAYmiacHsZTHDILNeeyo4Angaeba0Qp5ReRm4H30SleH1dKrReRG6zzDwHzgTPQIUdqORSn6ljgO8BaEVllHfuNUmp+GPJ3XUq2QNZQsB/6M3y2pZjs5DhG9myHO63BYDB0AK0qDKXUnGhdzHrAz2907KGQbQXc1ES9RTSvrLovxZsOS7EYDCoWbSvhhGE52GxH38c1GAzdm0hDgxjai7dWz28IGb9Yv6+S0hovs4YZc5TBYOh6GIXRWRzcCqjDXGo/21oMwHFDojT/wmAwGKKIURidRfGRQQc/21LMqF6p5KTEdZJQBoPB0DxGYXQWxZtA7JA5GIBqj58Ve8qYHa3Z3QaDwRBljMLoLIo3QeYgnQAFWLL9IL6AYrZxpzUYDF0UozA6i+LNR4xfJDjtTB5gZlcbDIauiVEYnYHfA6U7DlMYn28t4ZjBWcQ57J0omMFgMDSPURidwcFtoAKQqyO055fWsrOkxszuNhgMXRqjMDqDoo16bSUjqnenNQPeBoOhK2MURmdQtAFsDh0WBO1Om5eewKDspE4WzGAwGJrHKIzOoGijdqd1uPAHgizedpDZw7Lbn13PYDAYOhCjMDqDoo0N5qhV+eVUefzMHmrMUQaDoWtjFEas8dbojHbWgPdnW4qxCcwcbAa8DQZD18YojFhTvBlQIQPeJUzom05aorNz5TIYDIZWMAoj1oR4SJXXellTUM4sY44yGAzdAKMwYk3xRrDHQcZAFm0rIahgtglnbjAYugFGYcSawnWQMwzsDj7dVEx6opMJfU04EIPB0PUxCiOWKAX7V0GvCQSDioVbipg9NAe7ya5nMBi6AUZhxJLyPVBXBr0nsG5fBSXVXuaMMOMXBoMhenjz86mcP7/1ghHQak5vQxTZv0qve03k003FiGDmXxgMhqgQrK2l5JFHKH3scWxJSSTPmYMtISGq1zA9jFiyb5UOCdJjNJ9uLmJC33Sykk12PYPBEDlKKSreeYftZ5zJwQcfIuW00xj4+mtRVxZgehixZf8qyBnJQY+wuqCcn5w8rLMlMhi6JEoplCdAsNpH0O0n6A6gPPXrgD7m0dvKH4SAQgWCKL+CQBAVUPq4auVCNhC7DbEL2G2IQxC7DeyCOKzjDhvisGFz2RCX3Vr0ti1kP3Rb7LF5F3dv2kThn/9M3bLlxI0aSd6//knipEkddr2YKgwRmQvcA9iBR5VSdzY6L9b5M4Ba4Eql1Arr3OPAWUCRUmpMLOWOCkrpHsaIM1i4pRilYM7w3M6WymCIOUGPn0C5B3+5h0D9UuEhWOMjUO0jWO0jUOMFfytPe4dgc9n1A73hAW8D66EvdoFWHEpUQKF8QYJ1wUOKJqDAH2xQQPX7bcJhwxZvx5bgQOIdejvegcTptS3ejiQ4Dm3HN962t6h0/GVlFN97L+UvvoQ9LY2et99G+gUXIPaOzacTM4UhInbgfuAUoABYKiJvKqU2hBQ7HRhqLdOBB601wJPAfcDTsZI5qlTkQ10p9J7Ip5uLyU6OY3Tv1M6WymDoEIJ1fnzFtfhL6vAX1+l1SR3+cg+qzn94YRvYU1zYkl3Yk504eyQ2bNuSnNgSrAdoXMgDNc6OOGJnUVdB3WNRngDKG9BKpn7bG0R5AwRDtz1+lNvqCdXpbV+5R/eQ3H6Ur3UFJC47tgRL6YQoF2/+DmqXLiZYU0HaxT8h7azTcGSn4i9x63uV4ECcHaM4YtnDmAZsU0rtABCRF4B5QKjCmAc8rZRSwBIRSReRXkqp/Uqpz0RkQAzljS77VgLgyx3PgneKmDu6JzbjTmvo5ihfAN+BWnz7a/Dtr8G7vwZ/cS3Bat+hQjZwZMTjyE7A1T8Ve3ocjow47Onx2NPjsKe4kC7+WxCbIC47uKLzIFaBYIPyCFqK5bDtOmu7zt+weAtKCZRWAi5cA08DIOiGsld2HdG+LdVF799MP+J4e4mlwsgD8kP2CzjUe2ipTB6wP9yLiMh1wHUA/fr1i0hQgIAvQMDna/KcSBNvNs183xtClm//EmxpfF6eg8ddyKnDs/F7mm7fEEW69nOoWxH0BvDtq8FbUI13fzW+/dUES9yHCjgFR48kHEPTcGYn4siOx5mTiCMjvsXeQDAQhEAMPkBXw2VDXC7sqdpG3xyebVsp+tf91HzxBc68PHJ+8lOS50xHeYO699KgVHwE67TC6ajvfSwVRlMfobGRMpwyLaKUehh4GGDKlCltqltPbXk1d999N178rRcOm3jge/Dak1weD1+8upwvoti6wdApxDfaL7EWQ3TJ6wUXX6i3v/5SLy2QgItfnvSbqIsRS4VRAPQN2e8D7IugTIdTWVSGFz9DU/rRI6fRwHQbVJC2rAFBH+z8HDIHsqQslfREFyN6pkRPYEMzRPS+8M1EQdBzuAmEoHX/bHLYGIIt3oE4Wn+FVV349rurq6g6WIzX7cbudJKcnklyRiZ0gSRmKhDAv38/vn37UMEgzh49cfbNQxzhR7R2uVwdIlssFcZSYKiIDAT2ApcClzcq8yZwszW+MR2oUEqFbY6KFn6v7lmMGj2KiXNntL/Bze/BnsdZN/VZHntbeOjiSZwyplf72zUYIkT5g3j3VuPZUYFnZwXeXZUor7YLObITiBuehqt/Kq5+KTiyE7r8GEO4KKX47NknWLvoVZKzsuk7cgwl+bvY+fWn9B4+ink/+y2JqWmdIluwro6y557j4KOPEigvJ/nkk8j9xS3EDRzYpnaUUlR4KjpExpgpDKWUX0RuBt5Hm+weV0qtF5EbrPMPAfPRLrXb0G61V9XXF5HngROAbBEpAP6olHqsI2StVxgOZ5Ruz+5FYHfxYmFPEl0lHD/MuNMaYotSCn9RLe4t5bi3luHZWQGWp05RUjnbs/ayLbWA0txaMrNzGJM9hmN6H0NSQmInSx5dFr/0DMveepXxp5zBCVdcg8PlQinFpkUL+ODh+3jx1l9x0e/v0L2NGBH0eCh/6WVK/vMfAiUlJM2aRc4Pf0DC2LFtbssb8PKHxX9gw8ENvHDmCyQ6o/v3i+k8DKXUfLRSCD32UMi2Am5qpu5lHSvdIfxeLxBNhbGYYO9JvL7uIHPH9CQhSp4WBkNLBGp8eLaV4d5SjmdrGYFK/b0uT65hcepKlsdvYHPyLrKzepAZn4lNbJS6S1m4bRHPbXoOm9iY0mMKpw88nTMHnUmCI/ozh2PJugUfseTVFxl74qmcdPWNDQ4pIsLIWXNIzsrmtTtv4+Xbf8Nlf/oH8cnJHSpPoKqK8hdf5OBTTxEoLiFx6lRy7rmbxMmTI2qvuLaYnyz4CauLV/OjST/qkL+XmendBPU9DKcrClnw6sph3yq2D7uWKrefCyb1aX+bBkMTKH8Q755K3Ft1L8K3txoUSIIDGZjA587VPFbzHOXx1Zw56EyuHPB9pvSYgtN++Pc8EAywpWwLH+/5mPd3vc9tX97G3Svu5qJhF3Hp8EvpkdSjkz5h5BwsyOfjRx+g35jxnHT19w95L4bQd9RYzv/Vrbz859/x5j/v4ILf3o69DeMG4eIvLqb06acpe/4FgtXVJM08hqy77iJx+vQm5QqH1cWr+cmnP6HaV80/jv8Hpw04LcpSa4zCaAK/3zJJRUNhbPsIVICXKkbRKy2eGYOy2t+mwYBlZjroxrOlTJuZtlfocQgbuPqmknpyf1xD0nil6i3uW3MfHp+HS8ddyrXjriUzvnmTi91mZ2TWSEZmjeSmCTexomgF/93wXx5b+xhPrnuSswafxffGfI+BaW2zrXcWAb+P+ff9A0d8PGf84GfYHc0/9vqMGsNpN/6Id+/7Jx8+fD+n3fijiB/ijalbt56y556j8u23UT4fKaedRtY115AwZnTEbQaCAZ5Y/wQPrHiAfq5+3DrmVhJLEvly/5ccc8wxUZE7FKMwmsDv0wrDHg2T1KZ3CCZm8+SeLK6ZnWdyXxjaRbDOj3ubNjG5t5YRKPMAYM+MJ3FSLvFD04kbnI4t3kF+ZT6/++KHrChawXF5x/HLqb9kQNqANl1PRJjcYzKTe0wmvyqf/274L69ufZU3tr3BqQNO5Zqx1zAic0QHfNLoseR/L1C0czvn/PQ3JKW3nqxs1Kw5lO3fx5L/PU96j57MuODSiK8d9HqpevddSp97DvfqNUhCAmnnnUfWVVfiGjAg7HaUUtTU1FBWVkZ5eTllZWUUFBewevdqArUBzg6cjSjhk82fAJCYmGgURqzwe/WEunb3MPxe2PYRG9Pn4CsVLppszFGGtqECCm9BFe4tZXi2luHNr9Jmpjg7cYPTSTm+D/FDM3BkHbJXB1WQ5zc9z7+X/xuHOPjTsX9i3uB57X5T7pvSl99M/w3Xj7ueZzY+wwubXuD9Xe8zK28W1467lom5E9v7caPOvi2b+Oq1lxl9/EkMnT4z7HozL7qciqJCvnjpGdJyezBy1pw2Xde9eQsVr79OxRtvECgtxTVgAD1+82vSzj0Xe2rTIYHcbvdhCiF0XV5ejq/RRGKP3YPH6WFA3gDG9B1DRkYGmZmZZGRkkNrMNdqLURhNUG+Scsa1U2Hs/gI8lTxxcCSzh+UwKKdjB9EMRwf+g3UN4xCe7eUodwAEXH1SSJnTl/hhGbj6pjQZnK6wppDff/F7luxfwrF5x3LrMbfSM6lnVOXLSsjiR5N+xFVjruKFTS/wzIZnuOLdK5jcYzLXjr2Wmb1nRs2M0x687jrevf+fpGRnM+fK69pUV0Q47YYfUn2whPcevEe74I5q2WvJf/AglW+/Tfnrb+DZuBEcDpJPOJ6Myy4jccYM3B4PRRUVVOzbR0VFBRUVFYcphbq6usPac7lcZGRkkJWVxeDBg0lPT2ePfw8v57/MVvdWThx4Ir+a+quo/31bwiiMJvD7LH/09k5+2fQOAXs8b1cP54GZ/aMgmeFoJOj249le3qAkAgd1uA17ehyJ43KIG5JO/JB0bInNv8AopXhn5zv8Zclf8Cs/v5/xey4adlGHPrhTXalcN+46vj3y27y69VWeWP8EN3x0AyMzR3LN2Gs4sd+JOGyd94j55In/UH6gkIv/8BfiEpPaXN/ucHLOLb/l+T/8nDf+8Wcuu/0fZPXpe1gZf1kZ1R9/TNn7H1CyejW1cXH4hg3D//0b8fTuTWVdHRUrV1KxYMERPQS73U56ejrp6enk5eWRnp5ORkZGwzohIQERIaiCLNq7iP9b/X+sKVnDoLRB3DvrXmb3md2u+xMJRmE0gd+v/7DOuHbcHp8bte4VvnJMJTczw8y9MDRQb2bS4xDlePMrIaijk8YNTiPl2DzihqbrCXNhPPDL3eX8acmf+GD3B4zPGc9fjvsL/VIjj6PWVhKdiXx71Le5ePjFvL3jbR5b+xi3LLyF3MRczh1yLucPPZ+85LyYyQOw8YuFrF/wETPOv6TVnkFLxCcnc94v/8izf/wlz915GzMuvwpfbR0lGzZQmp9PldtNbUICdb17QV7vQxVLS0nyeEhLSyMnJ4chQ4aQlpZ22JKUlNTi39cb8PLOjnd4av1TbK/YTo/EHtw28zbOGXxOpyliozCaoMFLKr4dPYxNbyN1ZTzgPY6rzxpoBru/waigwldYo2dV76jAs+OQmcnZJ4WUE/oSPyQDV7+UNoXsru9V3LX0Liq9lfxo0o+4cvSVnfYwcdldnD/0fM4ZfA4L8hfwytZXeGTNIzyy5hGO6X0MZw06i+P7Hk+qq2PD+lcUFfLRI/fTa9gIjrmwcTCJw/H7/VRVVVFZWUllZWXDduNjwZ7aI+ydDz4EwBYIkGSzkZbbg959+5DZvz9paWmkp6eTlpZGamoqTmdkJu1NpZt4Y9sbvLPjHco8ZQzNGMpfjvsLcwfMPcIFOtYYhdEEAb9lkmrHGIZa8TTF9h5sT5rMo1P7tl7BcNSggnpWtWd7Oe4dFXh3VhCstTzvsuJJHJtDnOXNZE+K7Du2q2IXf/7qz3y1/yvGZo/lP8f8p8t4KzlsDk7ufzIn9z+ZfdX7eG3ba7y+7XV+s+g3OGwOjul1DKf0P4XZfWaTlRBdN3Of282b//wriHDStT+kuKSkRYVQW1t7RBtOp5Pk+HgS/X5yysvpnZ9PfEUlEvSzIzsFO0HO+vY1DDj51KiY/JRSbCnbwid7PuHDPR+ytWwrTpuTOX3ncMHQCzim9zFdYkwIjMJokkAggCjB7ohwRnbpDmTnQp72XcSNZw0lvoOSmRi6Bg0KYuehHkSwxlIQmfHEj8wibnAacYPScKQ3Du/aNg7WHeTRtY/y4uYXibfH87vpv+PCYRdit3XN71jv5N7cNOEmbhx/I2tL1vLhrg/5cPeHfL73cwCGZwznmN7HMKPXDCbmTmw1lEUwGKS2tpbq6mqqqqqorq4+bHv3po3U2ROwDRrDg48/fkT9xMREUlNTSUlJIS8vT28nJxNfVYVz23Zsa9fiX7qUYGkpAI6ePUmedRxJs2aRNHMmFZUVvHbnrbzx5IOc7LAxZs4pEd2XotoilhYuZWnhUpbsX8Le6r0IwoTcCfx2+m85feDppMV1TkyrljAKown8fj/2dgSUDyy+nyAOPk8+jRenmN7F0UbQ48e7pwrv7ko8uyvx7qlCeXSv1J4eR/zwTOIGpWsFkdk+BVFPlbeK/274L0+tfwp3wM25Q87lBxN/QHZCdlTa72hsYmN8znjG54znlim3sKF0A4v3LubL/V/yzMZneHrt0yQFkxicMJjBiYPp7exNBhk4fA5qa2obFEN1dfWhKNAhxMXFYQv48VZV0rNvX/oNG0FqamqDcqhf2+12/IWF1K1ZS92a1bjXrKVu/XpUbS1+wNm7NymzZpE4bRqJ06bi7NPnsLf7zORkLv/Lv3j77r/x/kP3sH/rZo7/zvdwtRBzq9ZXy6bSTWw4uIGNpRtZXbya3ZW7AUhxpjCl5xSuG3cdx/c5Puo9rmhjFEYT+AN+7BLhG1vlPtSKp3nZP4ubLpplehfdHKUUgVI33vwqPLsq8e6uxFdYoyOnCzh7JJE4IQdX/1Ti+qdiz4yPqvmgoKqAZzc+y6tbX6XWX8sp/U/h5ok3MyhtUNSu0REopfB6vdTU1FBTU0N1dXXDdv3irHEyqXoSQ6uG4vF4Dqu/j33sZS8eu4egK4gz3klSRhI9+vcgKz2LXpm96J3Zm/TUdJKTklj0/JOsfPctjjnnAmZdfiUigvL78e7ejWf9etybt7B/82bq1q8jUKwTdojTSdzIkaSffz4J48aSMGkyrj6tD84nJKdwwa9vY9ELT7P0rVfZtWYFJ1xzA/GDelFQXcDuyt3srtzNrspd7KrYxd7qvSgr1H52QjZjssZw0bCLmNpzKsMzhnfZ3mFTGIXRBIFAADuR5QuufvdWXIEgq/t/jztHdb+YO99klFIEyj14C6rx7a3Cu7cab0F1Qw5qcdlx9Ush5cR+xFmhv23x0f8J+QI+Pt/7OW9se4MFBQuwYWPuwLlcMeoKRmaNjPr1wiUQCBzx0G9pqXceaUxcXBxJSUkkJSWRk5PDoEGDSE5ObliSkpMop5xdtbvYWbWTHRU72FS+iT2VewjUBKAG2Kt7LT3icpm6IonMXX7sfRIp3raAz74/n9Q9pcTtKUKsqA3KbsPWvy+OKROIHzsa59hROIcNxR4XjyAgQmXQh696P96gF2/A27Cu8lZR5a2i0lvZsF3uKacot4i6k20M+nI/b/71dvb0qGX58DIqkv0kOBIYkDqAMdljOGfwOYzKGsWorFHkJObE8C8WfYzCaIJAMIC9qTSsreDZ9hnJG1/kcTmHH1x4cpcZqDIciQoq/KVu/IU1ePdVNyiJ+rEHbIKzVxKJY7Nx5iXj6puCs2dSh+WF8AV8LDuwjE/2fMJ7u96j3FNOVnwWV46+kstHXB71gH/1PYDa2trDlrq6usP2QxVA44ll9dhsNpKSkvTD3lIC9QqhqcXRQiynevLIYzSHYiypYBB3USH7Nq+gbOt66nZux72rgB11AaqdfobvP8ig1dsRoCwJNuUKeybB7hwbe3KFvVngd+xFp+JZABvQSwQkOBJIdaWSm5hLzqABOEdkEbemkv5LttPv8yQGzpjBzHMupuegoZFdoAtjFEYT+AOBNpukAtUHqXnhGgqDuQy6+Hb6ZBxdeQS6M4FqL77CGnyFtda6Bv+BWpSVDwKbNi3Fj8zC1ScZV56lHJyR9TLDQSnFrspdLD+wnCX7l/DF3i+o9lUTZ49jTt85nD34bGb2nhmWi6xSCp/Pd8TDvyVFUFtbSyDQdCJtESEhIYHExESSkpLIzc1tUQHEx7ffDKeCQfwlJfj27sW3d5+1Dln27UNZaQcSgdKcdDb2ykJcdmYPHsXQi6fhGjgQZ//++FIT6O8po9pbTZ2/DnfATZ3PWvvr8Af9KKVQKIIqiEKhlMJhc+Cyu3DanLjsLlw2F3H2OFJcKQ1Lqiu1adfW46D22xV8/fpLrPnofZ798kvyRoxm9AknMXTaTOKTjo4oD9LUANLRwpQpU9SyZcvaXO+pvz9MpaeaH/z+p2GV99VVsvveM+hbu4k3Jj7Cxeee1+ZrGtqHCmpzkr+4Fl9xHf4SvfgKawhWH5pha0ty4uyVhLNHIs6eSdaSiHTwWFOFp4KNpRvZXLqZ1cWrWX5gOaVu7YmTnZDN8X2OZ3bebCZlTwIf1NXVUVdXh9vtbnK7fql/+Ddn/gEaHv7NLY3Px8fHY7NFR1kqpQhWVuIvKsJXVIS/qBh/UVHD4is6oI8VF0Ojz2DPzMSZl2ctvXHm5VHqEL78ehFF+bvpM3IMp934Y9J7xC40Rji4a6pZ98kHrP7oXcoL92N3OBg4cQqDp8yg/7gJpGR2bUcFEVmulJrS5DmjMI7k8TsfpNZTy9zzZzJw5NQWwyFvXrUY11vfp69/N5+M+SunXnRDe0SOKkopCmsKWVOyhq1lW9lbvZe91Xup9FRS46+hxluDX/lx2BwNb1WprlTS49JJi0sjPS6d9Lh0MuMzyUrIIis+q2E7LS4NWwRmu3Z9nqAiUOEhUObGX+rBX1KLv7gOX0kd/oN14D/0XZZ4O46cRJy5iQ1KwdkzCXtKx+Q6Bm3KPFB7gJ1lO9lZspP80nwKKwopLC+kurYaV9CFM+gkw5ZBriuXNEkjgQSC3mCDQggGg822b7PZSEhIICEhgfj4+BaVQL0iSEhIiNrDHywFUFNLoKyUQGkp/tJSAqVlBMpK8R+0jpVZx6zzyu0+8rOkpeHMzcGRk4sj11p69sDVpw/O3r1x9u6NLVH30lUwyK7VK/j6zVco2LCOpPQMjv/O1Yw49vgubfZVSnFg+1Y2LV7IpsWfU1OmXxCy+vSj7+hx9Bo6nJ6Dh5HRsxcSxb9RezEKo4089Od7EG8119v+Tq2Ko9ieS4WrJ+6k3rgTeoLNgdSWkFa6lnHBDZSRwtaZ/2LaqRd3wKdoG6XuUj4v+JyFBQtZWbSSkjrtEWITGz0Te5KXkkd6XDpJziSSnEk4xIFf+fEH/bj9biq9lVR4Kij3lFPuKafCU0FAHWm6sIudjPgMrUDis8hMyDxMoTRWMragULJnF5UlRXhra7HZ7SSmpZOa04PUnFwcTifKHyRQ6SVQ6SFQ5tFjDGVurSDKPATKPRBUoULgyIzHkZ2glUNOgrWdgC3JGdHDJBAI4Ha78Xg8uN1uHUG0pozy6nIqaiqoqq2ipq6G2rpa6tx1eDwe/F4/yqeQgOAMOrGrlnsr8fHxxMfHNzzQ6xVAa/sulytqD8ig202gopJgZQWBqioCFRUEKysJVFQSqKwkWHVoO1BZQbCySm+XljaYhhojcXHYszJxZGRiz8zEkZmBPTMLR49cnLkhiiE3F1t8y+7GSilK8nezefFnbPj8U6pKiknOymbKmecy9qTTcMV3r+x/SimKd+9k95qV7Fq9gn1bN+G3PMPikpLIHTCYzLy+ZPbuQ2ZeHzJ79yElK7tTFKJRGG3k/tv+SXygjlF5+5GAj7iavaS495MVKCKDKgDcuNjnHEBlv5MYfPYtpKR3jveDUoqdlTtZkL+ABfkLWF28mqAKkpuQy/Re0xmbM5ax2WMZljEMl73tb9dBFaTSU0mpu5SD7oN6qdNL/bFSd2nDfp0/ZGBUQZ+iBEbtSWdARSZJJBFvTybRkUy8PcVaJ5PgSCbBmUq8HPkQ8CYG8aUo/KkQTLURSBMCKYI/DfwpgE10z8MXIOAL4Pf58fl8eL1evB4vHq9+oHu9Xvw+P36vH7/fT8AbwOf1EfAFCPqC+oHvFyTY+g/UL358Nh9+ux9xCA6XA1eci4T4BJITk8lKzqJnek9yUnOOUADtMfcEvV6C1dUEa2oOX6qrCRy238T52vr9WoKVlc0+9OuxJSVhS0vFnpKKPTX10HZmBo7MTOwZmYe2MzNxZGQgiYkRP+CUUlQdLGb/1i3sXrOCnatXUH2wBBEb/cdPZNTsExk2fWaHZMDrDIKBAAf35lO4bQuF27dQtGsHpXsL8NYdmnnucLpIzsoiJTOblKxskrOyScnKISkjg4TkFBJS0khISSE+OQWbPXomVaMw2si9t95FatDNSVecS98hjQKX+b2ooB9xxEEn+U/7gj5WFa1iQf4CFhYsbJgENDJzJCf0PYET+p7AyMyRUX07UUqBP0jQHSDo9qOsddDtR9UFCNT6CFb78FbX4S6vpq6oHKr9uIjHYXMSROEngJ8gfgngI0CVvZoqqaE6WI3HX4vf58EX8OJVHtzKQ7XDQ118AK9T8DttBO02ROw4lANHUC9O1fobfcNnQOEXP37boSVgD6AcCnEI4hRsThsOlwOHy0FifCLJicmkJKaQnpROZnImWSlZZCZmkhGfQYozpeEeq0CAYJ0b5a4jWKcX5XYTrHMTrKs9fLvOTdBtna+t09t1bl2vftsdWlafo1G00+aQhAT9wE9KxJaUhD0p2drXiz01BVtqGvbU1EPbaZZiSE3FnpKChOHJFCledx1l+/dRtn8vBwvyObBjKwd2bKO2ohwAV0Ii/cdNYOCEKQycOIXkjOazAx5NKKWorSindG8+pfsKKCvcT/XBEqpKD1J1sJiaslKCzTgqxCclE5+SQlxiMnGJiSRnZHL6zbdEJEdLCsN4STVBQAWxo8juNeDIkw4XQsfYwZVSoELXwYb9AzUHWLJvCV/t/4pl+5bj8dWRIPFMzJrAlUO/zaTsSWQ40wn6AwQPBDmwL5+g30/AHyQYCBD0Bwn4/dYbdcBa+63jejvgD+i3b58ff0C/rft9fgJ+/VYeVEECWIsogoTuBwmKwo8fX9CPnwDBBEXQBn7LE6VZ7IATSAD9lXQASQiKxGCQxEAA8QUgGECUwuGw43A5cSXE4UyIJy7ehSveRVx8HPHxLuLsduLERhxCHEK8EuKUEBcIYvcHsfkD2LwBbP4AyuNFeb0or4dglbXt8aC8XoLeYpR3ry7TcMyDz+vjgMdDoVU26PUeMWAbDuJy6Yd7QgK2+PhD24mJ2LOy9HZCPBKvz9uSQx/8ljJIPlwZ2BITO/Rh3xxKKfxeD+7qatzVVdRVVVFTdpCq0oNUlx2kulQvVSXFVFu2fH0ThKy8vgycMIUeg4fQc/BQcgcMbnHc8GhFREhKzyApPYO+o8cdcT4YDFBbXk5NRTnuqirqqiqoq6qkrqqKuqpK3NVVeGqq8dTWUl1e1jEymh7Gkfzjj38lOZhAub0GoJlHnTpiS99KdcTZ0PqqpfNdd/wOu9iw2+x6sdtx2PXaZhMCXg/u6ko8tdUIkJycSlZWFskJiQ2Pf0dQYVdBHMEg9kAARyCI3e/H4fdj9/uw+3zYvT7sXi92jwfxehCvF+Xx4vW4qfB7qQj6qVZBakRRYxdqnXYCTZh3HIEALn8AZyDYsDgCgZDtIPZgEHtQWUsQu92Bw+nA7nDicDpxOpzYXS5scXHYnS5scS5srjgkLk4/6OP0OXG6Go7ZEhKQhHhsCYnWg77RdmKiVgzxliKIohmhKZRSqGCQgN9HwO8nGAgQ8PusFwm96G3fof2AH7/Xi8/txufx4Pfotc/j1ov70La3rlYriBqtJALN9IBcCQkkZ2SRnJlFSlY2Gb3yyOjVm4zefUjv2QunK65D74OhbXSZHoaIzAXuQb9TPqqUurPRebHOnwHUAlcqpVaEUzeaBFEoUfRP7U1cyJdZGj3RD7f4SP3/IHKorFj1Gq0VQXwBPz7lxRvw4Ql6cfvrGvzGFUEU4LQ5SXElk+JKIT0+g0RHIqK7HSAKUWATEKUQgtgUiApiU0EkGNTbgQASDGAL+iHoxxbwgd+H+L168XrB50e8Xmw+HzavB/F4EI8Xm9uNeDworwfl9eHxeakQRbnLTklyAqXJCSgRUjw+RpZW0qe0inh/093mphCn03oA64cucS6UKw5cLrCOxackk+hy0bvhge3EFhcHTidem406FcAdDOAO+Knz+6j1evB4vXj9Xrw+H3VeDx6PG4+7rtkufXPfBKiDQB3Ugs3jwFZrx2ZvvDiw2W2IzX7o7x/y5WjYFmk4f2g/5Hsi0vCQP3Idsh1Uer+5ckFFMBgg4PfXv8W0G7vTidMVjyMuDmecXrviE0jL7U1uUjJxicnEJyXjSkwiLjGFuMQkEtMySUjLwBWX0PAypRQNb0tKKapL/Sjl1z1p/U/DucZl9Zomyup/Dr2vKazO+eHHQ+rVH2t4YVYh5RuXbSRDU+dCr6Matxsqe+g1Go4d+Vmb/pyH34OGek3cA2ecnUmnRT9pW8wUhojYgfuBU4ACYKmIvKmUCp1veTow1FqmAw8C08OsGzUCBBElVK5bZj2YOfQNg0Y/Qv0HbXg8HPpWHDpdPzkoqFAECaogKP2wF2ttU0I8QhI2HEqwK8GOIEEgEESCCl8wQKVVvv6aQsh2gxwKUXLo2GHnrevZbIjdic1hx+ZwIg47QaeNgN1BwG7Hb0/CnxDEk+DHgxd30IM74MYdMqidFJ9K3/S+ZGf2Jz0zD3E4weHAY3eAw4FYaxwOsNm1qcRm1/t2B9hsKOTwH1Uw9McY8sNpOB/6w2x0XoFDKVKAFKudxucDfi9+Xx1Bn5dAwEcw4CPo9xAM+PTbd9BL0K+Pq2AAFQwQVAEIBgkGgygVsB7MAZR1XClt1lMqSOiPuOEHHPKECn2QNPQuGx4EChEbYEdRr0ykYbvxMUIXAexCw39KcMTb0e9X9W3akEZrsIMSlNiRhrIOEAciThAn4LTk0p7LfjfgBiqa+wUFgSpr2d1cIUNHIZCY6ureCgOYBmxTSu0AEJEXgHkcPkF/HvC00r+qJSKSLiK9gAFh1I0KuzesI4DC7nZTXdsxdsAGGp74cMhI1ZY34JZo7c0yCHiaPhVoTgwnNjnkpVLngYID+RQcyI9MRIPB0CH4yhzAcVFvN5YKIw8IfbIUoHsRrZXJC7MuACJyHXAdQL9+bU9TmZHTixxPPDZPHXYxtlWDwdAN6aD5G7FUGE19gsavwc2VCaeuPqjUw8DDoAe92yIgQGpOFtff+fO2VjMYDIajnlgqjAIgNJtQH2BfmGVcYdQ1GAwGQwcSywAmS4GhIjJQRFzApcCbjcq8CVwhmhlAhVJqf5h1DQaDwdCBxKyHoZTyi8jNwPto143HlVLrReQG6/xDwHy0S+02tFvtVS3VjZXsBoPBYDAT9wwGg8EQQksT97pOTF2DwWAwdGmMwjAYDAZDWBiFYTAYDIawMArDYDAYDGFxVA96i0gxkQezyQZKoihOR9AdZAQjZzTpDjJC95CzO8gIsZezv1KqyYxwR7XCaA8isqw5T4GuQneQEYyc0aQ7yAjdQ87uICN0LTmNScpgMBgMYWEUhsFgMBjCwiiM5nm4swUIg+4gIxg5o0l3kBG6h5zdQUboQnKaMQyDwWAwhIXpYRgMBoMhLIzCMBgMBkNYGIXRCBGZKyKbRWSbiPyqs+UJRUR2ichaEVklIsusY5ki8qGIbLXWGZ0g1+MiUiQi60KONSuXiPzaur+bReS0TpTxVhHZa93PVSJyRifL2FdEPhWRjSKyXkR+ZB3vaveyOTm7zP0UkXgR+VpEVlsy3mYd72r3sjk5u8y9PAyllFmsBR06fTswCJ20aTUwqrPlCpFvF5Dd6NjfgV9Z278C/tYJcs0GJgHrWpMLGGXd1zhgoHW/7Z0k463Az5oo21ky9gImWdspwBZLlq52L5uTs8vcT3SWzmRr2wl8BczogveyOTm7zL0MXUwP43CmAduUUjuUUl7gBWBeJ8vUGvOAp6ztp4BzYy2AUuozoLTR4ebkmge8oJTyKKV2onOfTOskGZujs2Tcr5RaYW1XARvR+ey72r1sTs7miLmcSlNt7TqtRdH17mVzcjZHp8hZj1EYh5MH5IfsF9DyDyHWKOADEVkuItdZx3oonZUQa53badIdTnNydbV7fLOIrLFMVvXmiU6XUUQGABPRb5xd9l42khO60P0UEbuIrAKKgA+VUl3yXjYjJ3She1mPURiHI00c60p+x8cqpSYBpwM3icjszhYoArrSPX4QGAxMAPYD/7SOd6qMIpIM/A/4sVKqsqWiTRzrTDm71P1USgWUUhOAPsA0ERnTQvFOu5fNyNml7mU9RmEcTgHQN2S/D7Cvk2Q5AqXUPmtdBLyG7ooeEJFeANa6qPMkPIzm5Ooy91gpdcD6sQaBRzjUte80GUXEiX4IP6uUetU63OXuZVNydsX7aclVDiwA5tIF72U9oXJ21XtpFMbhLAWGishAEXEBlwJvdrJMAIhIkoik1G8DpwLr0PJ91yr2XeCNzpHwCJqT603gUhGJE5GBwFDg606Qr/6BUc956PsJnSSjiAjwGLBRKfWvkFNd6l42J2dXup8ikiMi6dZ2AnAysImudy+blLMr3cvDiNXoendZgDPQXh/bgd92tjwhcg1Ce0esBtbXywZkAR8DW611ZifI9jy62+xDvwFd3ZJcwG+t+7sZOL0TZfwvsBZYg/4h9upkGY9DmxfWAKus5YwueC+bk7PL3E9gHLDSkmUd8AfreFe7l83J2WXuZehiQoMYDAaDISyMScpgMBgMYWEUhsFgMBjCwigMg8FgMISFURgGg8FgCAujMAwGg8EQFkZhGAxhICLpIvL9kP3eIvJKB13rXBH5QzPnqq11joi81xHXNxiawygMgyE80oEGhaGU2qeUurCDrvUL4IGWCiilioH9InJsB8lgMByBURgGQ3jcCQy2chPcJSIDxMqtISJXisjrIvKWiOwUkZtF5KcislJElohIplVusIi8ZwWP/FxERjS+iIgMAzxKqRJrf6CIfCkiS0XkT42Kvw58q0M/tcEQglEYBkN4/ArYrpSaoJT6eRPnxwCXo2P+3AHUKqUmAl8CV1hlHgZ+oJSaDPyMpnsRxwIrQvbvAR5USk0FChuVXQbMivDzGAxtxtHZAhgMRwmfKp0bokpEKoC3rONrgXFWZNeZwMs6FBOgk+A0phdQHLJ/LHCBtf1f4G8h54qA3tER32BoHaMwDIbo4AnZDobsB9G/MxtQrnQY65aoA9IaHWsufk+8Vd5giAnGJGUwhEcVOh1pRCidL2KniFwEOuKriIxvouhGYEjI/hfoqMlw5HjFMA5FMTUYOhyjMAyGMFBKHQS+EJF1InJXhM18C7haROojDjeV/vczYKIcslv9CJ0saylH9jzmAO9EKIvB0GZMtFqDoYshIvcAbymlPmql3GfAPKVUWWwkM3zTMT0Mg6Hr8RcgsaUCIpID/MsoC0MsMT0Mg8FgMISF6WEYDAaDISyMwjAYDAZDWBiFYTAYDIawMArDYDAYDGFhFIbBYDAYwuL/AQ1lVR1doHioAAAAAElFTkSuQmCC\n", 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\n", "text/plain": [ "
    " ] diff --git a/examples/whm_swifter_comparison/Untitled.ipynb b/examples/whm_swifter_comparison/Untitled.ipynb deleted file mode 100644 index 7d5a299df..000000000 --- a/examples/whm_swifter_comparison/Untitled.ipynb +++ /dev/null @@ -1,169 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import astropy.constants as const" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "6.6743e-11\n" - ] - } - ], - "source": [ - "AU2M = np.longdouble(const.au.value)\n", - "GMSunSI = np.longdouble(const.GM_sun.value)\n", - "print(const.G.value)\n", - "Rsun = np.longdouble(const.R_sun.value)\n", - "GC = np.longdouble(const.G.value)\n", - "JD = 86400\n", - "year = np.longdouble(365.25 * JD)\n", - "c = np.longdouble(299792458.0)\n", - "MSun_over_Mpl = np.array([6023600.0,\n", - " 408523.71,\n", - " 328900.56,\n", - " 3098708.,\n", - " 1047.3486,\n", - " 3497.898,\n", - " 22902.98,\n", - " 19412.24,\n", - " 1.35e8], dtype=np.longdouble)\n", - "\n", - "MU2KG = np.longdouble(GMSunSI / GC) #Conversion from mass unit to kg\n", - "DU2M = np.longdouble(AU2M) #Conversion from radius unit to centimeters\n", - "TU2S = np.longdouble(year) #Conversion from time unit to seconds\n", - "GU = np.longdouble(GC / (DU2M**3 / (MU2KG * TU2S**2)))\n", - "\n", - "GMSun = np.longdouble(GMSunSI / (DU2M**3 / TU2S**2))" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "int" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(JD)" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([6.0236000000000000000e+06, 4.0852371000000002095e+05,\n", - " 3.2890055999999999767e+05, 3.0987080000000000000e+06,\n", - " 1.0473486000000000331e+03, 3.4978980000000001382e+03,\n", - " 2.2902979999999999563e+04, 1.9412240000000001601e+04,\n", - " 1.3500000000000000000e+08], dtype=float128)" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "MSun_over_Mpl" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [], - "source": [ - "np.set_printoptions(threshold = np.inf, precision=23)" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "39.476926408897626292\n" - ] - } - ], - "source": [ - "print(GU)" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "39.47692640889762571987376\n" - ] - } - ], - "source": [ - "print(\"{:.23f}\".format(GU))" - ] - }, - { - "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": "3.8.6" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/examples/whm_swifter_comparison/cb.swiftest.in b/examples/whm_swifter_comparison/cb.swiftest.in index 2386b53c8..058975b81 100644 Binary files a/examples/whm_swifter_comparison/cb.swiftest.in and b/examples/whm_swifter_comparison/cb.swiftest.in differ diff --git a/examples/whm_swifter_comparison/init_cond.py b/examples/whm_swifter_comparison/init_cond.py old mode 100644 new mode 100755 index 289f14f75..aac82eed9 --- a/examples/whm_swifter_comparison/init_cond.py +++ b/examples/whm_swifter_comparison/init_cond.py @@ -1,323 +1,59 @@ +#!/usr/bin/env python3 +import swiftest import numpy as np import sys from astroquery.jplhorizons import Horizons import astropy.constants as const from scipy.io import FortranFile -#Values from JPL Horizons -AU2M = np.longdouble(const.au.value) -GMSunSI = np.longdouble(const.GM_sun.value) -Rsun = np.longdouble(const.R_sun.value) -GC = np.longdouble(const.G.value) -JD = 86400 -year = np.longdouble(365.25 * JD) -c = np.longdouble(299792458.0) -MSun_over_Mpl = np.array([6023600.0, - 408523.71, - 328900.56, - 3098708., - 1047.3486, - 3497.898, - 22902.98, - 19412.24, - 1.35e8], dtype=np.longdouble) - -MU2KG = np.longdouble(GMSunSI / GC) #Conversion from mass unit to kg -DU2M = np.longdouble(AU2M) #Conversion from radius unit to centimeters -TU2S = np.longdouble(year) #Conversion from time unit to seconds -GU = np.longdouble(GC / (DU2M**3 / (MU2KG * TU2S**2))) - -GMSun = np.longdouble(GMSunSI / (DU2M**3 / TU2S**2)) - -# Simulation start, stop, and output cadence times -t_0 = 0 # simulation start time -deltaT = 0.25 * JD / TU2S # simulation step size -end_sim = 1 * year / TU2S # simulation end time -t_print = deltaT #year / TU2S #output interval to print results - - -# Solar oblatenes values: From Mecheri et al. (2004), using Corbard (b) 2002 values (Table II) -J2 = 0.0 #np.longdouble(2.198e-7) * (Rsun / DU2M)**2 -J4 = 0.0 #np.longdouble(-4.805e-9) * (Rsun / DU2M)**4 - -tstart = '2021-01-28' -tend = '2021-01-29' -tstep = '1d' -planetid = { - 'mercury' : '1', - 'venus' : '2', - 'earthmoon' : '3', - 'mars' : '4', - 'jupiter' : '5', - 'saturn' : '6', - 'uranus' : '7', - 'neptune' : '8', - 'plutocharon' : '9' -} -npl = 9 - -#Planet Msun/M ratio -MSun_over_Mpl = { - 'mercury' : np.longdouble(6023600.0), - 'venus' : np.longdouble(408523.71), - 'earthmoon' : np.longdouble(328900.56), - 'mars' : np.longdouble(3098708.), - 'jupiter' : np.longdouble(1047.3486), - 'saturn' : np.longdouble(3497.898), - 'uranus' : np.longdouble(22902.98), - 'neptune' : np.longdouble(19412.24), - 'plutocharon' : np.longdouble(1.35e8) -} - -#Planet radii in meters -Rpl = { - 'mercury' : np.longdouble(2439.4e3), - 'venus' : np.longdouble(6051.8e3), - 'earthmoon' : np.longdouble(6371.0084e3), # Earth only for radius - 'mars' : np.longdouble(3389.50e3), - 'jupiter' : np.longdouble(69911e3), - 'saturn' : np.longdouble(58232.0e3), - 'uranus' : np.longdouble(25362.e3), - 'neptune' : np.longdouble(24622.e3), - 'plutocharon' : np.longdouble(1188.3e3) -} - -pdata = {} -plvec = {} -Rhill = {} -THIRDLONG = np.longdouble(1.0) / np.longdouble(3.0) - -for key,val in planetid.items(): - pdata[key] = Horizons(id=val, id_type='majorbody',location='@sun', - epochs={'start': tstart, 'stop': tend, - 'step': tstep}) - plvec[key] = np.array([pdata[key].vectors()['x'][0], - pdata[key].vectors()['y'][0], - pdata[key].vectors()['z'][0], - pdata[key].vectors()['vx'][0], - pdata[key].vectors()['vy'][0], - pdata[key].vectors()['vz'][0] - ]) - - Rhill[key] = np.longdouble(pdata[key].elements()['a'][0]) * (3 * MSun_over_Mpl[key])**(-THIRDLONG) - -asteroidid = { - '100001' : 'Ceres', - '100002' : 'Pallas', - '100003' : 'Juno', - '100004' : 'Vesta' +sim = swiftest.Simulation() + +sim.param['MU2KG'] = swiftest.MSun +sim.param['TU2S'] = swiftest.YR2S +sim.param['DU2M'] = swiftest.AU2M +sim.param['T0'] = 0.0 +sim.param['TSTOP'] = 1.0 +sim.param['DT'] = 0.25 * swiftest.JD2S / swiftest.YR2S +sim.param['CHK_QMIN_COORD'] = "HELIO" +sim.param['CHK_QMIN'] = swiftest.RSun / swiftest.AU2M +sim.param['CHK_QMIN_RANGE'] = f"{swiftest.RSun / swiftest.AU2M} 1000.0" +sim.param['CHK_RMIN'] = swiftest.RSun / swiftest.AU2M +sim.param['CHK_RMAX'] = 1000.0 +sim.param['CHK_EJECT'] = 1000.0 +sim.param['ISTEP_OUT'] = 1 +sim.param['ISTEP_DUMP'] = 1 +sim.param['OUT_FORM'] = "XV" +sim.param['OUT_STAT'] = "UNKNOWN" +sim.param['GR'] = 'NO' + +bodyid = { + "Sun": 0, + "Mercury": 1, + "Venus": 2, + "Earth": 3, + "Mars": 4, + "Jupiter": 5, + "Saturn": 6, + "Uranus": 7, + "Neptune": 8, + "Ceres": 101, + "Pallas": 102, + "Juno": 103, + "Vesta": 104 } -ntp = 4 -tdata = {} -tpvec = {} -for key,val in asteroidid.items(): - tdata[key] = Horizons(id=val, id_type='smallbody', location='@sun', - epochs={'start': tstart, 'stop': tend, - 'step': tstep}) - tpvec[key] = np.array([tdata[key].vectors()['x'][0], - tdata[key].vectors()['y'][0], - tdata[key].vectors()['z'][0], - tdata[key].vectors()['vx'][0], - tdata[key].vectors()['vy'][0], - tdata[key].vectors()['vz'][0] - ]) - - -if __name__ == '__main__': - # Convert from AU-day to AU-year just because I find it easier to keep track of the sim progress - for plid in plvec: - plvec[plid][3:] *= year / JD - - for tpid in tpvec: - tpvec[tpid][3:] *= year / JD - - # Names of all output files - swifter_input = "param.swifter.in" - swifter_pl = "pl.swifter.in" - swifter_tp = "tp.swifter.in" - swifter_bin = "bin.swifter.dat" - swifter_enc = "enc.swifter.dat" - - swiftest_input = "param.swiftest.in" - swiftest_pl = "pl.swiftest.in" - swiftest_tp = "tp.swiftest.in" - swiftest_cb = "cb.swiftest.in" - swiftest_bin = "bin.swiftest.dat" - swiftest_enc = "enc.swiftest.dat" - - iout = int(np.ceil(t_print / deltaT)) - rmin = Rsun / DU2M - rmax = np.longdouble(1000.0) - #Make Swifter files +for name, id in bodyid.items(): + sim.add(name, idval=id) - plfile = open(swifter_pl, 'w') - print(npl+1, f'! Planet input file generated using init_cond.py using JPL Horizons data for the major planets (and Pluto) for epoch {tstart}' ,file=plfile) - print(1,GMSun,file=plfile) - print('0.0 0.0 0.0',file=plfile) - print('0.0 0.0 0.0',file=plfile) - for i, plid in enumerate(plvec): - print(i + 2,"{:.23g}".format(GMSun * MSun_over_Mpl[plid]**-1),Rhill[plid], file=plfile) - print(Rpl[plid] / DU2M, file=plfile) - print(plvec[plid][0],plvec[plid][1],plvec[plid][2], file=plfile) - print(plvec[plid][3],plvec[plid][4],plvec[plid][5], file=plfile) - plfile.close() - - tpfile = open(swifter_tp, 'w') - print(ntp,file=tpfile) - for tpid, tp in tpvec.items(): - print(tpid, file=tpfile) - print(tp[0],tp[1],tp[2], file=tpfile) - print(tp[3],tp[4],tp[5], file=tpfile) - tpfile.close() - - sys.stdout = open(swifter_input, "w") - print('! Swifter input file generated using init_cond.py') - print('T0 ',t_0) - print('TSTOP ',end_sim) - print('DT ',deltaT) - print('PL_IN ',swifter_pl) - print('TP_IN ',swifter_tp) - print('IN_TYPE ASCII') - print('ISTEP_OUT ',iout) - print('ISTEP_DUMP ',iout) - print('BIN_OUT ',swifter_bin) - print('OUT_TYPE REAL8') - print('OUT_FORM XV') - print('OUT_STAT NEW') - print('J2 ',J2) - print('J4 ',J4) - print('CHK_CLOSE yes') - print('CHK_RMIN ',rmin) - print('CHK_RMAX ',rmax) - print('CHK_EJECT ',rmax) - print('CHK_QMIN ',rmin) - print('CHK_QMIN_COORD HELIO') - print('CHK_QMIN_RANGE ',rmin,rmax) - print('ENC_OUT ',swifter_enc) - print('EXTRA_FORCE no') - print('BIG_DISCARD no') - print('RHILL_PRESENT yes') - - sys.stdout = sys.__stdout__ - #Now make Swiftest files - #cbfile = open(swiftest_cb, 'w') - cbfile = FortranFile(swiftest_cb, 'w') - #print(1.0,file=cbfile) - #print(rmin,file=cbfile) - #print(J2,file=cbfile) - #print(J4,file=cbfile) - Msun = np.double(1.0) - cbfile.write_record(np.double(GMSun)) - cbfile.write_record(np.double(rmin)) - cbfile.write_record(np.double(J2)) - cbfile.write_record(np.double(J4)) - cbfile.close() - - #plfile = open(swiftest_pl, 'w') - plfile = FortranFile(swiftest_pl, 'w') - #print(npl,file=plfile) - plfile.write_record(npl) - - name = np.empty(npl, dtype=np.int32) - px = np.empty(npl, dtype=np.double) - py = np.empty(npl, dtype=np.double) - pz = np.empty(npl, dtype=np.double) - vx = np.empty(npl, dtype=np.double) - vy = np.empty(npl, dtype=np.double) - vz = np.empty(npl, dtype=np.double) - mass = np.empty(npl, dtype=np.double) - Gmass = np.empty(npl, dtype=np.double) - radius = np.empty(npl, dtype=np.double) - for i, plid in enumerate(plvec): - name[i] = i + 2 - px[i] = plvec[plid][0] - py[i] = plvec[plid][1] - pz[i] = plvec[plid][2] - vx[i] = plvec[plid][3] - vy[i] = plvec[plid][4] - vz[i] = plvec[plid][5] - Gmass[i] = GMSun * MSun_over_Mpl[plid]**-1 - radius[i] = Rpl[plid] / DU2M - plfile.write_record(name.T) - plfile.write_record(px.T) - plfile.write_record(py.T) - plfile.write_record(pz.T) - plfile.write_record(vx.T) - plfile.write_record(vy.T) - plfile.write_record(vz.T) - plfile.write_record(Gmass.T) - plfile.write_record(radius.T) - #for i, plid in enumerate(plvec): - # print(i + 2,"{:.23g}".format(np.longdouble(MSun_over_Mpl[plid]**-1)), file=plfile) - # print(Rpl[plid] / DU2M, file=plfile) - # print(plvec[plid][0], plvec[plid][1], plvec[plid][2], file=plfile) - # print(plvec[plid][3], plvec[plid][4], plvec[plid][5], file=plfile) - plfile.close() - #tpfile = open(swiftest_tp, 'w') - tpfile = FortranFile(swiftest_tp, 'w') - #print(ntp,file=tpfile) - tpfile.write_record(ntp) - #for tpid, tp in tpvec.items(): - # print(tpid, file=tpfile) - # print(tp[0],tp[1],tp[2], file=tpfile) - # print(tp[3],tp[4],tp[5], file=tpfile) - - name = np.empty(ntp, dtype=np.int32) - px = np.empty(ntp, dtype=np.double) - py = np.empty(ntp, dtype=np.double) - pz = np.empty(ntp, dtype=np.double) - vx = np.empty(ntp, dtype=np.double) - vy = np.empty(ntp, dtype=np.double) - vz = np.empty(ntp, dtype=np.double) - for i, tpid in enumerate(tpvec): - name[i] = int(tpid) - px[i] = tpvec[tpid][0] - py[i] = tpvec[tpid][1] - pz[i] = tpvec[tpid][2] - vx[i] = tpvec[tpid][3] - vy[i] = tpvec[tpid][4] - vz[i] = tpvec[tpid][5] - tpfile.write_record(name.T) - tpfile.write_record(px.T) - tpfile.write_record(py.T) - tpfile.write_record(pz.T) - tpfile.write_record(vx.T) - tpfile.write_record(vy.T) - tpfile.write_record(vz.T) - - tpfile.close() - - sys.stdout = open(swiftest_input, "w") - print('! Swiftest input file generated using init_cond.py') - print('T0 ',t_0) - print('TSTOP ',end_sim) - print('DT ',deltaT) - print('CB_IN ',swiftest_cb) - print('PL_IN ',swiftest_pl) - print('TP_IN ',swiftest_tp) - print('IN_TYPE REAL8') - print('ISTEP_OUT ',iout) - print('ISTEP_DUMP ',iout) - print('BIN_OUT ',swiftest_bin) - print('OUT_TYPE REAL8') - print('OUT_FORM XV') - print('OUT_STAT REPLACE') - print('CHK_CLOSE yes') - print('CHK_RMIN ',rmin) - print('CHK_RMAX ',rmax) - print('CHK_EJECT ',rmax) - print('CHK_QMIN ',rmin) - print('CHK_QMIN_COORD HELIO') - print('CHK_QMIN_RANGE ',rmin,rmax) - print('ENC_OUT ',swiftest_enc) - print('EXTRA_FORCE no') - print('BIG_DISCARD no') - print('ROTATION no') - print('GR no') - print('MU2KG ',MU2KG) - print('DU2M ',DU2M) - print('TU2S ',TU2S) - +sim.param['PL_IN'] = "pl.swiftest.in" +sim.param['TP_IN'] = "tp.swiftest.in" +sim.param['CB_IN'] = "cb.swiftest.in" +sim.param['BIN_OUT'] = "bin.swiftest.dat" +sim.param['ENC_OUT'] = "enc.swiftest.dat" +sim.save("param.swiftest.in") +sim.param['PL_IN'] = "pl.swifter.in" +sim.param['TP_IN'] = "tp.swifter.in" +sim.param['BIN_OUT'] = "bin.swifter.dat" +sim.param['ENC_OUT'] = "enc.swifter.dat" +sim.save("param.swifter.in", codename="Swifter") - sys.stdout = sys.__stdout__ diff --git a/examples/whm_swifter_comparison/param.swifter.in b/examples/whm_swifter_comparison/param.swifter.in index b092c2553..5cf0cb8b9 100644 --- a/examples/whm_swifter_comparison/param.swifter.in +++ b/examples/whm_swifter_comparison/param.swifter.in @@ -1,26 +1,26 @@ -! Swifter input file generated using init_cond.py -T0 0 -TSTOP 1.0 -DT 0.0006844626967830253251 -PL_IN pl.swifter.in -TP_IN tp.swifter.in -IN_TYPE ASCII -ISTEP_OUT 1 -ISTEP_DUMP 1 -BIN_OUT bin.swifter.dat -OUT_TYPE REAL8 -OUT_FORM XV -OUT_STAT NEW -J2 4.7535806948127356533e-12 -J4 -2.2473967953572827815e-18 -CHK_CLOSE yes -CHK_RMIN 0.0046504672609621575315 -CHK_RMAX 1000.0 -CHK_EJECT 1000.0 -CHK_QMIN 0.0046504672609621575315 -CHK_QMIN_COORD HELIO -CHK_QMIN_RANGE 0.0046504672609621575315 1000.0 -ENC_OUT enc.swifter.dat -EXTRA_FORCE no -BIG_DISCARD no -RHILL_PRESENT yes +! VERSION Swifter parameter file converted from Swiftest +T0 0.0 +TSTOP 1.0 +DT 0.0006844626967830253 +ISTEP_OUT 1 +ISTEP_DUMP 1 +OUT_FORM XV +OUT_TYPE REAL8 +OUT_STAT UNKNOWN +IN_TYPE ASCII +PL_IN pl.swifter.in +TP_IN tp.swifter.in +BIN_OUT bin.swifter.dat +ENC_OUT enc.swifter.dat +CHK_QMIN 0.004650467260962157 +CHK_RMIN 0.004650467260962157 +CHK_RMAX 1000.0 +CHK_EJECT 1000.0 +CHK_QMIN_COORD HELIO +CHK_QMIN_RANGE 0.004650467260962157 1000.0 +EXTRA_FORCE NO +BIG_DISCARD NO +CHK_CLOSE YES +J2 4.7535806948127355e-12 +J4 -2.2473967953572827e-18 +RHILL_PRESENT YES diff --git a/examples/whm_swifter_comparison/param.swiftest.in b/examples/whm_swifter_comparison/param.swiftest.in index c32a270f5..73818e198 100644 --- a/examples/whm_swifter_comparison/param.swiftest.in +++ b/examples/whm_swifter_comparison/param.swiftest.in @@ -1,29 +1,35 @@ -! Swiftest input file generated using init_cond.py -T0 0 -TSTOP 1.0 -DT 0.0006844626967830253251 -CB_IN cb.swiftest.in -PL_IN pl.swiftest.in -TP_IN tp.swiftest.in -IN_TYPE REAL8 -ISTEP_OUT 1 -ISTEP_DUMP 1 -BIN_OUT bin.swiftest.dat -OUT_TYPE REAL8 -OUT_FORM XV -OUT_STAT REPLACE -CHK_CLOSE yes -CHK_RMIN 0.0046504672609621575315 -CHK_RMAX 1000.0 -CHK_EJECT 1000.0 -CHK_QMIN 0.0046504672609621575315 -CHK_QMIN_COORD HELIO -CHK_QMIN_RANGE 0.0046504672609621575315 1000.0 -ENC_OUT enc.swiftest.dat -EXTRA_FORCE no -BIG_DISCARD no -ROTATION no -GR no -MU2KG 1.988409870698050917e+30 -DU2M 149597870700.0 -TU2S 31557600.0 +! VERSION Swiftest parameter input +T0 0.0 +TSTOP 1.0 +DT 0.0006844626967830253 +ISTEP_OUT 1 +ISTEP_DUMP 1 +OUT_FORM XV +OUT_TYPE REAL8 +OUT_STAT UNKNOWN +IN_TYPE ASCII +PL_IN pl.swiftest.in +TP_IN tp.swiftest.in +CB_IN cb.swiftest.in +BIN_OUT bin.swiftest.dat +ENC_OUT enc.swiftest.dat +CHK_QMIN 0.004650467260962157 +CHK_RMIN 0.004650467260962157 +CHK_RMAX 1000.0 +CHK_EJECT 1000.0 +CHK_QMIN_COORD HELIO +CHK_QMIN_RANGE 0.004650467260962157 1000.0 +MU2KG 1.988409870698051e+30 +TU2S 31557600.0 +DU2M 149597870700.0 +EXTRA_FORCE NO +BIG_DISCARD NO +CHK_CLOSE YES +FRAGMENTATION NO +ROTATION NO +TIDES NO +ENERGY NO +GR NO +YARKOVSKY NO +YORP NO +MTINY 0.0 diff --git a/examples/whm_swifter_comparison/pl.swifter.in b/examples/whm_swifter_comparison/pl.swifter.in index d0d4e7ff9..7412144e0 100644 --- a/examples/whm_swifter_comparison/pl.swifter.in +++ b/examples/whm_swifter_comparison/pl.swifter.in @@ -1,40 +1,36 @@ -10 ! Planet input file generated using init_cond.py using JPL Horizons data for the major planets (and Pluto) for epoch 2021-01-28 -1 39.47692640889762629 +9 +0 39.476926408897625196 0.0 0.0 0.0 0.0 0.0 0.0 -2 6.553709809565313959502e-06 0.0014751229680863789154 +1 6.5537098095653139645e-06 0.0014751253039664285066 1.6306381826061645943e-05 -0.1030256860922895 0.2897796047098886 0.01422904600374035 --11.74004209950937 3.8343124110162736 1.3902496665973592 -3 9.6633133995815387361564e-05 0.006759127649782299051 +0.36019833403308620934 -0.07157757063116521046 -0.038889932331457412185 +0.012062683987023428416 10.539199589223686515 0.86012493216791845955 +2 9.663313399581537916e-05 0.006759112363391176217 4.0453784346544178454e-05 -0.06110218027254217 -0.7245466901305982 -0.01346904300924688 -7.311995449678243 0.5941125721336201 -0.4137913843379075 -4 0.00012002693582795246295385 0.0100447565675466429165 +-0.71276554591539231787 0.0894943770131735733 0.042358444034962597358 +-0.96047232050779632014 -7.363179644470093107 -0.045627977257453471387 +3 0.000120026935827952453094 0.010044757472678654026 4.25875607065040958e-05 --0.6061796342297583 0.7761214554702035 -3.4750047790977e-05 --5.054824314301841 -3.891667468503358 0.00019720338148272726 -5 1.2739802010675942316241e-05 0.0072464490746299085006 +0.27645830888837641393 -0.97837771886398083865 4.5542715832163949185e-05 +5.9448497026859876977 1.6852493323830119935 -9.895818943662129852e-05 +4 1.2739802010675941456e-05 0.007246754169100752911 2.265740805092889601e-05 -0.2751944175855944 1.51937688993241 0.02508924593104206 --4.835983593209577 1.344855094041679 0.14681413000004515 -6 0.037692251088985682938581 0.3552852357486060849 +-1.4965217056830220077 0.729867855162097956 0.052005223740499352536 +-2.049353987860530548 -4.1577626275819368415 -0.03686191825212072444 +5 0.037692251088985676735 0.3552713962079929143 0.00046732617030490929307 -3.200135438345358 -3.953498213518368 -0.05517737289975112 -2.111393749129838 1.8660266890185446 -0.05498941067210089 -7 0.011285899820091272946487 0.43763064566943408597 +4.027841704615886087 -3.0231618001306270749 -0.077559557972985263 +1.6231826570873460391 2.3366237981055781438 -0.046019759896080974796 +6 0.011285899820091272997 0.43765160695836118215 0.00038925687730393611812 -5.607382165725712 -8.258649105608766 -0.07958445228024298 -1.5748468603228847 1.1414574661825514 -0.08250331331320372 -8 0.0017236589478267728883093 0.4690969274244374022 +6.2788354074558432316 -7.724005035333701308 -0.11559390097316769863 +1.4696075442034620881 1.282966226939726742 -0.08077393754283409384 +7 0.0017236589478267730203 0.4695227539643713788 0.00016953449859497231466 -15.28225422201768 12.53905314208462 -0.1514143582550325 --0.9198472198098231 1.0454390993472462 0.01574538863031621 -9 0.0020336100526728304385693 0.7807192056765467829 +14.869154031353570389 12.9936724365634095335 -0.1443982771709022006 +-0.95437109658589562686 1.0170745961532793757 0.016089151184688745742 +8 0.0020336100526728302319 0.78127049251990261927 0.000164587904124493665 -29.47483071169769 -5.147686530859088 -0.5733441819169969 -0.19191677740340274 1.1385110364087574 -0.027844325148353527 -10 2.9242167710294538257026e-07 0.05383468172776979939 -7.943294877391593783e-06 -14.14000920780611 -31.14141812522779 -0.7565722591093476 -1.073396108697069 0.23003123192799815 -0.33424529561177047 +29.55509611047864027 -4.6450138458072487424 -0.585533781429422695 +0.17223467348300621534 1.1421766618084267115 -0.027457548207218328868 diff --git a/examples/whm_swifter_comparison/pl.swiftest.in b/examples/whm_swifter_comparison/pl.swiftest.in index 7bdc4a619..e144eae8f 100644 Binary files a/examples/whm_swifter_comparison/pl.swiftest.in and b/examples/whm_swifter_comparison/pl.swiftest.in differ diff --git a/examples/whm_swifter_comparison/swiftest_vs_swifter.ipynb b/examples/whm_swifter_comparison/swiftest_vs_swifter.ipynb new file mode 100644 index 000000000..82bd3d63f --- /dev/null +++ b/examples/whm_swifter_comparison/swiftest_vs_swifter.ipynb @@ -0,0 +1,245 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import swiftest" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reading Swifter file param.swifter.in\n", + "Reading in time 1.000e+00\n", + "Creating Dataset\n", + "Successfully converted 1462 output frames.\n", + "Swifter simulation data stored as xarray DataSet .ds\n" + ] + } + ], + "source": [ + "swiftersim = swiftest.Simulation(param_file=\"param.swifter.in\", codename=\"Swifter\")\n", + "swiftersim.bin2xr()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reading Swiftest file param.swiftest.in\n", + "Reading in time 1.001e+00\n", + "Creating Dataset\n", + "Successfully converted 1463 output frames.\n", + "Swiftest simulation data stored as xarray DataSet .ds\n" + ] + } + ], + "source": [ + "swiftestsim = swiftest.Simulation(param_file=\"param.swiftest.in\")\n", + "swiftestsim.bin2xr()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "swiftdiff = swiftestsim.ds - swiftersim.ds" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "swiftdiff = swiftdiff.rename({'time' : 'time (y)'})" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "swiftdiff['dr'] = np.sqrt(swiftdiff['px']**2 + swiftdiff['py']**2 + swiftdiff['pz']**2)\n", + "swiftdiff['dv'] = np.sqrt(swiftdiff['vx']**2 + swiftdiff['vy']**2 + swiftdiff['vz']**2)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "pldiff = swiftdiff.where(np.invert(np.isnan(swiftdiff['Mass'])), drop=True)\n", + "tpdiff = swiftdiff.where(np.isnan(swiftdiff['Mass']), drop=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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-2.894380502059049 0.2060633316227693 -0.5267473116107563 --0.36781773526648104 3.511709550412678 0.17870205470035164 -100002 -2.402157114026988 -2.063650689101573 1.221462187067896 -1.9929454155842872 1.7670860403833373 -1.3920313116840413 -100003 --1.76242073921186 -2.766072818539065 0.6998178789690445 -2.514640194836968 -1.5368452873925367 0.24681696899054972 -100004 --2.13688673996785 1.023684546777855 0.2293900047351895 --1.3918193851434775 -3.7994616097035703 0.2829665907639622 +101 +2.3071617894844269614 1.6438449758645010679 -0.37312906258436789875 +-2.256588666826445461 2.8302735208962828827 0.50519430783805206563 +102 +3.011471099377928784 -1.1061264985150089935 0.5067865823770466571 +0.69505215270382913404 2.5183263418638507098 -1.8031340524448678953 +103 +-0.51350730399144917104 -3.139963346661017951 0.7339670445581878422 +3.0598116277417892524 -0.1107568728194456082 -0.09922455469700767241 +104 +-2.070517783632789044 -0.7764919020604850175 0.27514297675486260042 +1.7817875607764876778 -3.94088558602991294 -0.09896621676031464546 diff --git a/examples/whm_swifter_comparison/tp.swiftest.in b/examples/whm_swifter_comparison/tp.swiftest.in index 01954c3d7..a9fa06f46 100644 Binary files a/examples/whm_swifter_comparison/tp.swiftest.in and b/examples/whm_swifter_comparison/tp.swiftest.in differ diff --git a/examples/whm_swifter_comparison/whm_swiftest_vs_swifter.ipynb b/examples/whm_swifter_comparison/whm_swiftest_vs_swifter.ipynb deleted file mode 100644 index 997defb80..000000000 --- a/examples/whm_swifter_comparison/whm_swiftest_vs_swifter.ipynb +++ /dev/null @@ -1,363 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "import swiftestio as swio\n", - "from astroquery.jplhorizons import Horizons" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading Swifter file param.swifter.in\n" - ] - } - ], - "source": [ - "inparfile = 'param.swifter.in'\n", - "param = swio.read_swifter_param(inparfile)\n", - "swifterdat = swio.swifter2xr(param)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading Swiftest file param.swiftest.in\n" - ] - } - ], - "source": [ - "param_file_name = 'param.swiftest.in'\n", - "config = swio.read_swiftest_config(param_file_name)\n", - "swiftestdat = swio.swiftest2xr(config)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "swiftdiff = swiftestdat - swifterdat" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "swiftdiff = swiftdiff.rename({'time' : 'time (y)'})" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "swiftdiff['dr'] = np.sqrt(swiftdiff['px']**2 + swiftdiff['py']**2 + swiftdiff['pz']**2)\n", - "swiftdiff['dv'] = np.sqrt(swiftdiff['vx']**2 + swiftdiff['vy']**2 + swiftdiff['vz']**2)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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7jKVLl7Jy5Upeeukl1q1bF3VZKVGAiIiEYM2aNQwYMIDTTz+dnJwcLr30Up5//vmoy0qJPokuIlnn5Zdf5pNPPknrMdu2bcvw4cOPur1Hjx7cfffdVFZWctppp1FaWkrfvn3TWkPYFCAiIiEoKipi0qRJDBkyhGbNmnHBBReQk9OwX4IbdvUiIgEca6SQSePHj2f8+PEA3HXXXRQUFERSR7ooQEREQrJ161batGnDxx9/zHPPPcebb74ZdUkpUYCIiITk6quvprKyksaNG/Pwww9z1llnRV1SShQgIiIhWbhwYdQlpJXexisiIoEoQEREJBAFiIiIBKIAERGRQBQgIiISiAJEREQCiSRAzKylmc0zs3XxnwnfDG1mw8xsrZmVmdnkWuvvN7N/mNm7Zva8mbUIrXgRkYC++c1v0qZNG3r06HF43WeffcaQIUPo0qULQ4YMYfv27RFWWD9RjUAmA/PdvQswP758BDNrBDwMDAe6A2PMrHt88zygh7ufD/wT+M9QqhYRScFNN93E3Llzj1g3depUBg8ezLp16xg8eDBTp06NqLr6iypARgAz489nAl9P0KYfUObu6929CiiJ74e7/83dq+PtlgANe0IZEckKl1xyCS1btjxi3ezZsxk3bhwA48aN44UXXoigsmCi+iT6Oe5eAeDuFWbWJkGbfGBjreVyoH+Cdt8E/pj+EkXkZPXPf/6UXbvXpPWYzZsV0bXrPfXeb8uWLeTm5gKQm5vL1q1b01pXJmUsQMzsVaBtgk13J3uIBOu8zjnuBqqBp49RxwRgAkD79u2TPLWIiBxPxgLE3f/jaNvMbIuZ5cZHH7lAosgtB9rVWi4ANtc6xjjgCmCwuztH4e4zgBkAffv2PWo7EckeQUYKmXLOOedQUVFBbm4uFRUVtGmT6ILMiSmqeyBzgHHx5+OA2QnavAV0MbMOZtYEGB3fDzMbBkwCrnT3vSHUKyKSEVdeeSUzZ8ZuCc+cOZMRI0ZEXFHyogqQqcAQM1sHDIkvY2Z5ZlYKEL9JPhF4BVgD/MndV8f3fwhoDswzsxVmNj3sDoiI1NeYMWO46KKLWLt2LQUFBTzxxBNMnjyZefPm0aVLF+bNm8fkyf/yptQTViQ30d29EhicYP1m4LJay6VAaYJ2nTNaoIhIBjzzzDMJ18+fPz/kStJDn0QXEZFAFCAiIhKIAkRERAJRgIiISCAKEBERCUQBIiIigShARERCUt/p3O+77z46d+7MeeedxyuvvHJ4/dtvv03Pnj3p3Lkz3//+9zk0GccXX3zBN77xDTp37kz//v3ZsGHD4X2GDRtGixYtuOKKK9LWHwWIiEhI6jOd+/vvv09JSQmrV69m7ty5fPe736WmpgaAW265hRkzZrBu3TrWrVt3+JhPPPEEZ511FmVlZfzgBz9g0qRJh8/zox/9iFmzZqW1PwoQEZGQ1Gc699mzZzN69GhOPfVUOnToQOfOnVm6dCkVFRXs3LmTiy66CDNj7NixR+xz6FijRo1i/vz5h0cngwcPpnnz5mntT1TTuYuIROaedeWs2r0vrcfs0ew0ftql/l9NdLTp3Ddt2sSAAQMOtysoKGDTpk00btyYgoKCf1l/aJ927WJz0Obk5PClL32JyspKWrVqFbhfx6IRiIjICSjRJONmdtT1x9onUzQCEZGsE2SkkClHm869oKCAjRv//3fqlZeXk5eXR0FBAeXl5f+yvvY+BQUFVFdX8/nnn//LJbN00ghERCRCR5vO/corr6SkpIQvvviCDz/8kHXr1tGvXz9yc3Np3rw5S5Yswd158sknj9jn0LGeffZZBg0alNERCO6eNY8+ffq4iGSn999/P+oSfPTo0d62bVvPycnx/Px8f/zxx/3TTz/1QYMGeefOnX3QoEFeWVl5uP29997rHTt29K5du3ppaenh9W+99ZYXFxd7x44d/dZbb/WDBw+6u/u+fft81KhR3qlTJ//yl7/sH3zwweF9Lr74Ym/VqpU3bdrU8/Pzfe7cuQlrTPR7ApZ5gtdU86N/md9Jp2/fvr5s2bKoyxCRCKxZs4aioqKoyzjhJfo9mdnb7t63bltdwhIRkUAUICIiEogCREREAlGAiIhIIAoQEREJRAEiIiKBKEBEREIS1XTuK1as4KKLLqK4uJjzzz+fP/7xj2npjwJERCQkUU3nfvrpp/Pkk08ePtbtt9/Ojh07Uu6PAkREJCRRTefetWtXunTpAkBeXh5t2rRh27ZtKfdHkymKSNaZ8uJq3t+8M63H7J53Jj/5WnG99wt7OvelS5dSVVVFp06d6t/JOhQgIiInoETTTKU6nXtFRQU33ngjM2fO5JRTUr8ApQARkawTZKSQKWFN575z504uv/xy7r333iNGNqnQPRARkQiFMZ17VVUVI0eOZOzYsVxzzTXpKz7RFL0n60PTuYtkr2yezn3WrFmek5PjF1xwweHH8uXLE9ao6dyPQtO5i2QvTeeeHE3nLiIiGRdJgJhZSzObZ2br4j/POkq7YWa21szKzGxygu13mpmbWatE+4uISOZENQKZDMx39y7A/PjyEcysEfAwMBzoDowxs+61trcDhgAfh1KxiIgcIaoAGQHMjD+fCXw9QZt+QJm7r3f3KqAkvt8hvwF+DGTPTRwRkRNIVAFyjrtXAMR/tknQJh/YWGu5PL4OM7sS2OTuK493IjObYGbLzGxZOj66LyIiMRn7IKGZvQq0TbDp7mQPkWCdm9np8WMMTeYg7j4DmAGxd2EleW4RETmOjI1A3P0/3L1HgsdsYIuZ5QLEf25NcIhyoF2t5QJgM9AJ6ACsNLMN8fXvmFmisBIROWFENZ37Rx99RJ8+fejVqxfFxcVMnz49Lf2J6hLWHGBc/Pk4YHaCNm8BXcysg5k1AUYDc9z9PXdv4+6F7l5ILGh6u/snYRQuIhJUVNO55+bmsnjxYlasWMHf//53pk6dyubNm1PuT1QBMhUYYmbriL2TaiqAmeWZWSmAu1cDE4FXgDXAn9x9dUT1ioikLKrp3Js0acKpp54KxEYpBw8eTEt/IplM0d0rgcEJ1m8GLqu1XAqUHudYhemuT0ROci9Phk/eS+8x2/aE4VPrvVtY07lv3LiRyy+/nLKyMu6///7DEzCmQp9EFxE5ASWaZiqV6dzbtWvHu+++S1lZGTNnzmTLli0p16jp3EUk+wQYKWRKWNO5H5KXl0dxcTELFy5k1KhRKdWuEYiISITCmM69vLycffv2AbB9+3YWLVrEeeedl3LtGoGIiIRkzJgxvP7663z66acUFBQwZcoUJk+ezLXXXssTTzxB+/bt+fOf/wxAcXEx1157Ld27dycnJ4eHH36YRo0aAfDoo49y0003sW/fPoYPH87w4cMBGD9+PDfeeCOdO3emZcuWlJSUALEZdu+4447Dl8DuvPNOevbsmXJ/NJ27iGQFTeeeHE3nLiIiGacAERGRQBQgIiISiAJEREQCUYCIiEggChAREQlEASIiEpKopnM/ZOfOneTn5zNx4sS09EcBIiISkqimcz/knnvu4dJLL01bfxQgIiIhiWo6d4iNWrZs2cLQoUl9mWtSNJWJiGSdXyz9Bf/47B9pPWa3lt2Y1G/S8RvWEcZ07i1btuSOO+5g1qxZzJ8/P3Af69IIRETkBJTO6dwfeeQRLrvsssPhki4agYhI1gkyUsiUMKZzf/PNN1m4cCGPPPIIu3fvpqqqimbNmh2+3xKURiAiIhEKYzr3p59+mo8//pgNGzbwq1/9irFjx6YcHqARiIhIaKKazj1TNJ27iGQFTeeeHE3nLiIiGacAERGRQBQgIpI1sumSfRD1/f0oQEQkKzRt2pTKykqFyFG4O5WVlTRt2jTpfbLqJrqZbQM+Crh7K+DTNJbTEKjP2SEr+ty6deucn/3sZ4WFhYWnufspp5xyysGoawrTwYMHj9lnd2fDhg377r777g3btm2rrrP5XHdvXXefrAqQVJjZskTvQjiZqc/ZQX3ODpnosy5hiYhIIAoQEREJRAGSvBlRFxAB9Tk7qM/ZIe191j0QEREJRCMQEREJRAEiIiKBKEDqMLNhZrbWzMrMbHKC7WZmD8a3v2tmvaOoM52S6PP18b6+a2aLzeyCKOpMp+P1uVa7L5tZjZmNCrO+dEumv2Y20MxWmNlqM/s/YdeYbkn8d/0lM3vRzFbG+3xzFHWmk5n9zsy2mtmqo2xP7+uXu+sRfwCNgA+AjkATYCXQvU6by4CXAQMGAH+Puu4Q+vwV4Kz48+HZ0Oda7RYApcCoqOvO8L9xC+B9oH18uU3UdYfQ57uAX8SftwY+A5pEXXuK/b4E6A2sOsr2tL5+aQRypH5Ambuvd/cqoAQYUafNCOBJj1kCtDCz3LALTaPj9tndF7v79vjiEqCAhi2Zf2eA7wF/AbaGWVwGJNPf64Dn3P1jAHfPhj470Nxi3wfbjFiA1P0EdoPi7m8Q68fRpPX1SwFypHxgY63l8vi6+rZpSOrbn/HE/oJpyI7bZzPLB0YC00OsK1OS+TfuCpxlZq+b2dtmNja06jIjmT4/BBQBm4H3gNvc/WSf3iStr1/6RsIjWYJ1dd/nnEybhiTp/pjZV4kFyMUZrSjzkunzA8Akd6+J/YHaoCXT3xygDzAYOA1408yWuPs/M11chiTT5/8BrAAGAZ2AeWa20N13Zri2KKX19UsBcqRyoF2t5QJif53Ut01DklR/zOx84HFguLtXhlRbpiTT575ASTw8WgGXmVm1u78QSoXplex/15+6+x5gj5m9AVwANNQASabPNwNTPXZzoMzMPgS6AUvDKTESaX390iWsI70FdDGzDmbWBBgNzKnTZg4wNv5uhgHA5+5eEXahaXTcPptZe+A54MYG/Bdpbcfts7t3cPdCdy8EngW+20DDA5L773o28O9mlmNmpwP9gTUh15lOyfT5Y2IjLszsHOA8YH2oVYYvra9fGoHU4u7VZjYReIXYuzh+5+6rzew78e3Tib0j5zKgDNhL7K+YBivJPv8XcDbwSPwv8mpvwDOZJtnnk0Yy/XX3NWY2F3gXOAg87u4J3wraECT5b/xT4A9m9h6xSzuT3L1BT2tvZs8AA4FWZlYO/ARoDJl5/dJUJiIiEoguYYmISCAKEBERCUQBIiIigShAREQkEAWIiIgEogARCcjMWpjZd2st55nZsxk619fN7L+O0+ZXZjYoE+cXSURv4xUJyMwKgZfcvUcI51oMXHmszymY2bnAY+4+NNP1iIBGICKpmAp0in+Hxv1mVnjoexjM7CYzeyH+fRMfmtlEM/uhmS03syVm1jLerpOZzY1PYLjQzLrVPYmZdQW+cPdPzax5/HiN49vONLMNZtbY3T8CzjaztiH+DiSLKUBEgpsMfODuvdz9Rwm29yA2TXo/4GfAXne/EHgTODTb7Qzge+7eB7gTeCTBcf4NeAfA3XcBrwOXx7eNBv7i7gfiy+/E24tknKYyEcmc1+Iv+LvM7HPgxfj694DzzawZsS/r+nOtGX9PTXCcXGBbreXHgR8DLxCbiuJ/1tq2FchLVwdEjkUBIpI5X9R6frDW8kFi/++dAuxw917HOc4+4EuHFtx9Ufxy2aVAozpzVjWNtxfJOF3CEgluF9A86M7x75340MyugcPfV53o++bXAJ3rrHsSeAb4fZ31XYEGOwmiNCwKEJGA4t+LssjMVpnZ/QEPcz0w3sxWAqtJ/NW6bwAX2pHfbPU0cBaxEAEgfmO9M7AsYC0i9aK38Yo0AGY2DXjR3V+NL48CRrj7jbXajAR6u/s9EZUpWUb3QEQahp8T+5InzOy3wHBi3+tQWw7w65DrkiymEYiIiASieyAiIhKIAkRERAJRgIiISCAKEBERCUQBIiIigfw/hLGPYHYEDhoAAAAASUVORK5CYII=\n", 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6dHr16kVhYSH33Xdf1OUkTQEiIhKCVatW8cgjj7B06VJWrlzJiy++yLp166IuKykKEBGREKxZs4ZBgwZx8sknk5WVxYUXXshzzz0XdVlJ0TfRRSTjvPTSS3z88ccpPWb79u0pKio67PZevXpxxx13UFlZyUknnURJSQn9+/dPaQ1hU4CIiISgoKCAKVOmMGzYMFq0aME555xDVlbjfgtu3NWLiARwpJFCOk2YMIEJEyYAcPvtt5OXlxdJHamiABERCcnWrVtp164dH330Ec8++yxvvPFG1CUlRQEiIhKSyy+/nMrKSpo2bcqDDz7IaaedFnVJSVGAiIiEZOHChVGXkFL6GK+IiASiABERkUAUICIiEogCREREAlGAiIhIIAoQEREJJJIAMbPWZjbfzNbF/oz7YWgzG2Fma82szMym1ll/r5n9w8zeMbPnzKxVaMWLiAR0/fXX065dO3r16nVw3WeffcawYcPo1q0bw4YN4/PPP4+wwoaJagQyFSh1925AaWz5EGbWBHgQKAJ6AmPNrGds83ygl7ufDfwT+M9QqhYRScK1117LvHnzDlk3bdo0hg4dyrp16xg6dCjTpk2LqLqGiypARgKzYj/PAr4Vp80AoMzd17t7FVAc2w93/5u7V8faLQEa94QyIpIRLrjgAlq3bn3Iujlz5jB+/HgAxo8fz/PPPx9BZcFE9U30M9y9AsDdK8ysXZw2ucDGOsvlwMA47a4H/pj6EkXkePXPf/6MHTvXpPSYLVsU0L37Txu835YtW8jOzgYgOzubrVu3prSudEpbgJjZK0D7OJvuSPQQcdZ5vXPcAVQDTx2hjonARICOHTsmeGoRETmatAWIu//74baZ2RYzy46NPrKBeJFbDnSos5wHbK5zjPHAJcBQd3cOw91nAjMB+vfvf9h2IpI5gowU0uWMM86goqKC7OxsKioqaNcu3gWZY1NU90DmAuNjP48H5sRp8ybQzcw6mVkzYExsP8xsBDAFuNTdd4dQr4hIWlx66aXMmlV7S3jWrFmMHDky4ooSF1WATAOGmdk6YFhsGTPLMbMSgNhN8snAy8Aa4E/uvjq2/++AlsB8M1thZjPC7oCISEONHTuW8847j7Vr15KXl8djjz3G1KlTmT9/Pt26dWP+/PlMnfovH0o9ZkVyE93dK4GhcdZvBi6qs1wClMRp1zWtBYqIpMHTTz8dd31paWnIlaSGvokuIiKBKEBERCQQBYiIiASiABERkUAUICIiEogCREREAlGAiIiEpKHTud9zzz107dqVs846i5dffvng+rfeeovevXvTtWtXfvCDH3BgMo4vv/ySb3/723Tt2pWBAweyYcOGg/uMGDGCVq1acckll6SsPwoQEZGQNGQ69/fee4/i4mJWr17NvHnzuOmmm6ipqQHgxhtvZObMmaxbt45169YdPOZjjz3GaaedRllZGT/84Q+ZMmXKwfP8+Mc/Zvbs2SntjwJERCQkDZnOfc6cOYwZM4YTTzyRTp060bVrV5YuXUpFRQXbt2/nvPPOw8wYN27cIfscONbo0aMpLS09ODoZOnQoLVu2TGl/oprOXUQkMj9dV86qnXtSesxeLU7iZ90a/miiw03nvmnTJgYNGnSwXV5eHps2baJp06bk5eX9y/oD+3ToUDsHbVZWFl/5yleorKykTZs2gft1JBqBiIgcg+JNMm5mh11/pH3SRSMQEck4QUYK6XK46dzz8vLYuPH/P1OvvLycnJwc8vLyKC8v/5f1dffJy8ujurqaL7744l8umaWSRiAiIhE63HTul156KcXFxXz55Zd88MEHrFu3jgEDBpCdnU3Lli1ZsmQJ7s4TTzxxyD4HjvXMM88wZMiQtI5AcPeMefXr189FJDO99957UZfgY8aM8fbt23tWVpbn5ub6o48+6p9++qkPGTLEu3bt6kOGDPHKysqD7e+++27v3Lmzd+/e3UtKSg6uf/PNN72wsNA7d+7skyZN8v3797u7+549e3z06NHepUsX/+pXv+rvv//+wX3OP/98b9OmjTdv3txzc3N93rx5cWuM9/cELPM476nmh3+Y33Gnf//+vmzZsqjLEJEIrFmzhoKCgqjLOObF+3sys7fcvX/9trqEJSIigShAREQkEAWIiIgEogAREZFAFCAiIhKIAkRERAJRgIiIhCSq6dxXrFjBeeedR2FhIWeffTZ//OMfU9IfBYiISEiims795JNP5oknnjh4rFtuuYVt27Yl3R8FiIhISKKazr179+5069YNgJycHNq1a8cnn3ySdH80maKIZJy7XljNe5u3p/SYPXNO5c5vFjZ4v7Cnc1+6dClVVVV06dKl4Z2sRwEiInIMijfNVLLTuVdUVHDNNdcwa9YsTjgh+QtQChARyThBRgrpEtZ07tu3b+fiiy/m7rvvPmRkkwzdAxERiVAY07lXVVUxatQoxo0bxxVXXJG64uNN0Xu8vjSdu0jmyuTp3GfPnu1ZWVl+zjnnHHwtX748bo2azv0wNJ27SObSdO6J0XTuIiKSdpEEiJm1NrP5ZrYu9udph2k3wszWmlmZmU2Ns/02M3MzaxNvfxERSZ+oRiBTgVJ37waUxpYPYWZNgAeBIqAnMNbMetbZ3gEYBnwUSsUiInKIqAJkJDAr9vMs4Ftx2gwAytx9vbtXAcWx/Q74LfATIHNu4oiIHEOiCpAz3L0CIPZnuzhtcoGNdZbLY+sws0uBTe6+8mgnMrOJZrbMzJal4qv7IiJSK21fJDSzV4D2cTbdkegh4qxzMzs5dozhiRzE3WcCM6H2U1gJnltERI4ibSMQd/93d+8V5zUH2GJm2QCxP7fGOUQ50KHOch6wGegCdAJWmtmG2Pq3zSxeWImIHDOims79ww8/pF+/fvTp04fCwkJmzJiRkv5EdQlrLjA+9vN4YE6cNm8C3cysk5k1A8YAc939XXdv5+757p5PbdD0dfePwyhcRCSoqKZzz87OZvHixaxYsYK///3vTJs2jc2bNyfdn6gCZBowzMzWUftJqmkAZpZjZiUA7l4NTAZeBtYAf3L31RHVKyKStKimc2/WrBknnngiUDtK2b9/f0r6E8lkiu5eCQyNs34zcFGd5RKg5CjHyk91fSJynHtpKnz8bmqP2b43FE1r8G5hTee+ceNGLr74YsrKyrj33nsPTsCYDH0TXUTkGBRvmqlkpnPv0KED77zzDmVlZcyaNYstW7YkXaOmcxeRzBNgpJAuYU3nfkBOTg6FhYUsXLiQ0aNHJ1W7RiAiIhEKYzr38vJy9uzZA8Dnn3/OokWLOOuss5KuXSMQEZGQjB07ltdee41PP/2UvLw87rrrLqZOncqVV17JY489RseOHfnzn/8MQGFhIVdeeSU9e/YkKyuLBx98kCZNmgDw8MMPc+2117Jnzx6KioooKioCYMKECVxzzTV07dqV1q1bU1xcDNTOsHvrrbcevAR222230bt376T7o+ncRSQjaDr3xGg6dxERSTsFiIiIBKIAERGRQBQgIiISiAJEREQCUYCIiEggChARkZBENZ37Adu3byc3N5fJkyenpD8KEBGRkEQ1nfsBP/3pT7nwwgtT1h8FiIhISKKazh1qRy1btmxh+PCEHuaaEE1lIiIZ55dLf8k/PvtHSo/Zo3UPpgyYcvSG9YQxnXvr1q259dZbmT17NqWlpYH7WJ9GICIix6BUTuf+0EMPcdFFFx0Ml1TRCEREMk6QkUK6hDGd+xtvvMHChQt56KGH2LlzJ1VVVbRo0eLg/ZagNAIREYlQGNO5P/XUU3z00Uds2LCBX//614wbNy7p8ACNQEREQhPVdO7pouncRSQjaDr3xGg6dxERSTsFiIiIBKIAEZGMkUmX7INo6N+PAkREMkLz5s2prKxUiByGu1NZWUnz5s0T3iejbqKb2SfAhwF3bwN8msJyGgP1OTNkRJ/btm2b9fOf/zw/Pz//JHc/4YQTTtgfdU1h2r9//xH77O5s2LBhzx133LHhk08+qa63+Ux3b1t/n4wKkGSY2bJ4n0I4nqnPmUF9zgzp6LMuYYmISCAKEBERCUQBkriZURcQAfU5M6jPmSHlfdY9EBERCUQjEBERCUQBIiIigShA6jGzEWa21szKzGxqnO1mZvfHtr9jZn2jqDOVEujzVbG+vmNmi83snCjqTKWj9blOu6+aWY2ZjQ6zvlRLpL9mNtjMVpjZajP7n7BrTLUE/rv+ipm9YGYrY32+Loo6U8nMfm9mW81s1WG2p/b9y931ir2AJsD7QGegGbAS6FmvzUXAS4ABg4C/R113CH3+GnBa7OeiTOhznXYLgBJgdNR1p/nfuBXwHtAxttwu6rpD6PPtwC9jP7cFPgOaRV17kv2+AOgLrDrM9pS+f2kEcqgBQJm7r3f3KqAYGFmvzUjgCa+1BGhlZtlhF5pCR+2zuy92989ji0uAPBq3RP6dAb4P/AXYGmZxaZBIf78DPOvuHwG4eyb02YGWVvs82BbUBkj9b2A3Ku7+OrX9OJyUvn8pQA6VC2yss1weW9fQNo1JQ/szgdrfYBqzo/bZzHKBUcCMEOtKl0T+jbsDp5nZa2b2lpmNC6269Eikz78DCoDNwLvAze5+vE9vktL3Lz2R8FAWZ139zzkn0qYxSbg/ZvYNagPk/LRWlH6J9Pk+YIq719T+gtqoJdLfLKAfMBQ4CXjDzJa4+z/TXVyaJNLn/wWsAIYAXYD5ZrbQ3benubYopfT9SwFyqHKgQ53lPGp/O2lom8Ykof6Y2dnAo0CRu1eGVFu6JNLn/kBxLDzaABeZWbW7Px9KhamV6H/Xn7r7LmCXmb0OnAM01gBJpM/XAdO89uZAmZl9APQAloZTYiRS+v6lS1iHehPoZmadzKwZMAaYW6/NXGBc7NMMg4Av3L0i7EJT6Kh9NrOOwLPANY34N9K6jtpnd+/k7vnung88A9zUSMMDEvvveg7wb2aWZWYnAwOBNSHXmUqJ9PkjakdcmNkZwFnA+lCrDF9K3780AqnD3avNbDL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    " - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "swiftdiff['vz'].plot.line(x=\"time (y)\")" - ] - }, - { - "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": "3.8.6" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/python/swiftest/swiftest/init_cond.py b/python/swiftest/swiftest/init_cond.py index e9b32bda0..6e5048c0f 100644 --- a/python/swiftest/swiftest/init_cond.py +++ b/python/swiftest/swiftest/init_cond.py @@ -5,7 +5,7 @@ from datetime import date import xarray as xr -def solar_system_horizons(plname, param, ephemerides_start_date, ds): +def solar_system_horizons(plname, idval, param, ephemerides_start_date, ds): """ Initializes a Swiftest dataset containing the major planets of the Solar System at a particular data from JPL/Horizons @@ -36,10 +36,15 @@ def solar_system_horizons(plname, param, ephemerides_start_date, ds): 'Pluto': '9' } - if plname not in planetid: - print(f"{plname} not found or not yet supported") - print("Valid inputs are: ".join(f"{key}" for key, value in planetid.items())) - return + if plname in planetid: + ispl = True + else: + ispl = False + print(f"\nMassive body {plname} not found or not yet supported") + print("This will be created as a massless test particle") + if idval is None: + print("ID value required for this input type") + return # Planet MSun/M ratio MSun_over_Mpl = { @@ -97,6 +102,12 @@ def solar_system_horizons(plname, param, ephemerides_start_date, ds): plab.append('capom') plab.append('omega') plab.append('capm') + tlab.append('a') + tlab.append('e') + tlab.append('inc') + tlab.append('capom') + tlab.append('omega') + tlab.append('capm') elif param['OUT_FORM'] == 'EL': plab.append('px') plab.append('py') @@ -104,20 +115,31 @@ def solar_system_horizons(plname, param, ephemerides_start_date, ds): plab.append('vx') plab.append('vy') plab.append('vz') + tlab.append('px') + tlab.append('py') + tlab.append('pz') + tlab.append('vx') + tlab.append('vy') + tlab.append('vz') plab.append('Rhill') dims = ['time', 'id', 'vec'] t = np.array([0.0]) key = plname - val = planetid[key] + if ispl: + val = planetid[key] + else: + val = -1 if key == "Sun" : # Create central body + print("Creating the Sun as a central body") cb = [] cbframe = np.expand_dims(cvec.T, axis=0) cbxr = xr.DataArray(cbframe, dims=dims, coords={'time': t, 'id': cbid, 'vec': clab}) cbds = cbxr.to_dataset(dim='vec') ds = xr.combine_by_coords([ds, cbds]) else: # Fetch solar system ephemerides from Horizons + print(f"Fetching ephemerides data for {key} from JPL/Horizons") pl = [] p1 = [] p2 = [] @@ -136,9 +158,14 @@ def solar_system_horizons(plname, param, ephemerides_start_date, ds): GMpl = [] pldata = {} - pldata[key] = Horizons(id=val, id_type='majorbody', location='@sun', - epochs={'start': ephemerides_start_date, 'stop': ephemerides_end_date, - 'step': ephemerides_step}) + if ispl: + pldata[key] = Horizons(id=val, id_type='majorbody', location='@sun', + epochs={'start': ephemerides_start_date, 'stop': ephemerides_end_date, + 'step': ephemerides_step}) + else: + pldata[key] = Horizons(id=key, id_type='smallbody', location='@sun', + epochs={'start': ephemerides_start_date, 'stop': ephemerides_end_date, + 'step': ephemerides_step}) if param['OUT_FORM'] == 'XV': p1.append(pldata[key].vectors()['x'][0] * DCONV) p2.append(pldata[key].vectors()['y'][0] * DCONV) @@ -165,12 +192,20 @@ def solar_system_horizons(plname, param, ephemerides_start_date, ds): p10.append(pldata[key].vectors()['vx'][0] * VCONV) p11.append(pldata[key].vectors()['vy'][0] * VCONV) p12.append(pldata[key].vectors()['vz'][0] * VCONV) - Rhill.append(pldata[key].elements()['a'][0] * (3 * MSun_over_Mpl[key]) ** (-THIRDLONG)) - Rpl.append(planetradius[key] * DCONV) - GMpl.append(GMcb[0] / MSun_over_Mpl[key]) - # Generate planet value vectors - plid = np.array([planetid[key]], dtype=int) - pvec = np.vstack([p1, p2, p3, p4, p5, p6, GMpl, Rpl, p7, p8, p9, p10, p11, p12, Rhill]) + if ispl: + Rhill.append(pldata[key].elements()['a'][0] * (3 * MSun_over_Mpl[key]) ** (-THIRDLONG)) + Rpl.append(planetradius[key] * DCONV) + GMpl.append(GMcb[0] / MSun_over_Mpl[key]) + # Generate planet value vectors + pvec = np.vstack([p1, p2, p3, p4, p5, p6, GMpl, Rpl, p7, p8, p9, p10, p11, p12, Rhill]) + else: + pvec = np.vstack([p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12]) + plab = tlab.copy() + + if idval is None: + plid = np.array([planetid[key]], dtype=int) + else: + plid = np.array([idval], dtype=int) # Prepare frames by adding an extra axis for the time coordinate plframe = np.expand_dims(pvec.T, axis=0) diff --git a/python/swiftest/swiftest/io.py b/python/swiftest/swiftest/io.py index 03c6506c4..a2eef84fd 100644 --- a/python/swiftest/swiftest/io.py +++ b/python/swiftest/swiftest/io.py @@ -5,6 +5,8 @@ import sys import tempfile +newfeaturelist = ("FRAGMENTATION", "ROTATION", "TIDES", "ENERGY", "GR", "YARKOVSKY", "YORP" ) + def real2float(realstr): """ Converts a Fortran-generated ASCII string of a real value into a numpy float type. Handles cases where double precision @@ -288,8 +290,8 @@ def write_labeled_param(param, param_file_name): ptmp = param.copy() # Print the list of key/value pairs in the preferred order for key in keylist: - val = ptmp.pop(key) - print(f"{key:<16} {val}", file=outfile) + val = ptmp.pop(key, None) + if val is not None: print(f"{key:<16} {val}", file=outfile) # Print the remaining key/value pairs in whatever order for key, val in ptmp.items(): print(f"{key:<16} {val}", file=outfile) @@ -636,7 +638,7 @@ def swiftest_xr2infile(ds, param, framenum=-1): framenum : int Time frame to use to generate the initial conditions. If this argument is not passed, the default is to use the last frame in the dataset. param : dict - Swiftest paramuration parameters. This method uses the names of the cb, pl, and tp files from the paramuration + Swiftest input parameters. This method uses the names of the cb, pl, and tp files from the input Returns ------- @@ -717,6 +719,69 @@ def swiftest_xr2infile(ds, param, framenum=-1): else: print(f"{param['IN_TYPE']} is an unknown file type") + +def swifter_xr2infile(ds, param, framenum=-1): + """ + Writes a set of Swifter input files from a single frame of a Swiftest xarray dataset + + Parameters + ---------- + ds : xarray dataset + Dataset containing Swifter n-body data in XV format + framenum : int + Time frame to use to generate the initial conditions. If this argument is not passed, the default is to use the last frame in the dataset. + param : dict + Swifter input parameters. This method uses the names of the pl and tp files from the input + + Returns + ------- + A set of input files for a Swifter run + """ + frame = ds.isel(time=framenum) + cb = frame.where(frame.id == 0, drop=True) + pl = frame.where(frame.id > 0, drop=True) + pl = pl.where(np.invert(np.isnan(pl['Mass'])), drop=True).drop_vars(['J_2', 'J_4']) + tp = frame.where(np.isnan(frame['Mass']), drop=True).drop_vars(['Mass', 'Radius', 'J_2', 'J_4']) + + GMSun = np.double(cb['Mass']) + RSun = np.double(cb['Radius']) + param['J2'] = np.double(cb['J_2']) + param['J4'] = np.double(cb['J_4']) + param['RHILL_PRESENT'] = "YES" + + if param['IN_TYPE'] == 'ASCII': + # Swiftest Central body file + plfile = open(param['PL_IN'], 'w') + print(pl.id.count().values + 1, file=plfile) + print(cb.id.values[0], cb['Mass'].values[0], file=plfile) + print('0.0 0.0 0.0', file=plfile) + print('0.0 0.0 0.0', file=plfile) + for i in pl.id: + pli = pl.sel(id=i) + if param['RHILL_PRESENT'] == "YES": + print(i.values, pli['Mass'].values, pli['Rhill'].values, file=plfile) + else: + print(i.values, pli['Mass'].values, file=plfile) + if param['CHK_CLOSE'] == "YES": + print(pli['Radius'].values, file=plfile) + print(pli['px'].values, pli['py'].values, pli['pz'].values, file=plfile) + print(pli['vx'].values, pli['vy'].values, pli['vz'].values, file=plfile) + plfile.close() + + # TP file + tpfile = open(param['TP_IN'], 'w') + print(tp.id.count().values, file=tpfile) + for i in tp.id: + tpi = tp.sel(id=i) + print(i.values, file=tpfile) + print(tpi['px'].values, tpi['py'].values, tpi['pz'].values, file=tpfile) + print(tpi['vx'].values, tpi['vy'].values, tpi['vz'].values, file=tpfile) + tpfile.close() + else: + # Now make Swiftest files + print(f"{param['IN_TYPE']} is an unknown input file type") + + def swift2swifter(swift_param, plname="", tpname="", conversion_questions={}): swifter_param = {} intxt = conversion_questions.get('RHILL', None) @@ -921,8 +986,8 @@ def swift2swifter(swift_param, plname="", tpname="", conversion_questions={}): def swifter2swiftest(swifter_param, plname="", tpname="", cbname="", conversion_questions={}): swiftest_param = swifter_param.copy() # Pull additional feature status from the conversion_questions dictionary - featurelist = ("FRAGMENTATION", "ROTATION", "TIDES", "ENERGY", "GR", "YARKOVSKY", "YORP" ) - for key in featurelist: + + for key in newfeaturelist: swiftest_param[key] = conversion_questions.get(key, "NO") # Convert the PL file if plname == '': @@ -989,6 +1054,7 @@ def swifter2swiftest(swifter_param, plname="", tpname="", cbname="", conversion_ tpnew = open(swiftest_param['TP_IN'], 'w') except IOError: print(f"Cannot write to file {swiftest_param['TP_IN']}") + return swifter_param print(f"Converting TP file: {swifter_param['TP_IN']} -> {swiftest_param['TP_IN']}") try: @@ -1110,6 +1176,7 @@ def swifter2swiftest(swifter_param, plname="", tpname="", cbname="", conversion_ cbnew.close() except IOError: print(f"Cannot write to file {swiftest_param['CB_IN']}") + return swifter_param MTINY = conversion_questions.get('MTINY', None) if not MTINY: @@ -1151,4 +1218,26 @@ def swift2swiftest(swift_param, plname="", tpname="", cbname="", conversion_ques swiftest_param = swifter2swiftest(swifter_param, plname, tpname, cbname, conversion_questions) swiftest_param['! VERSION'] = "Swiftest parameter file converted from Swift" return swiftest_param - \ No newline at end of file + +def swiftest2swifter_param(swiftest_param, J2=0.0, J4=0.0): + swifter_param = swiftest_param + CBIN = swifter_param.pop("CB_IN", None) + MTINY = swifter_param.pop("MTINY", None) + MU2KG = swifter_param.pop("MU2KG", 1.0) + DU2M = swifter_param.pop("DU2M", 1.0) + TU2S = swifter_param.pop("TU2S", 1.0) + GR = swifter_param.pop("GR", None) + if GR is not None: + if GR == 'YES': + swifter_param['C'] = swiftest.einsteinC * np.longdouble(TU2S) / np.longdouble(DU2M) + for key in newfeaturelist: + tmp = swifter_param.pop(key, None) + swifter_param['J2'] = J2 + swifter_param['J4'] = J4 + swifter_param['RHILL_PRESENT'] = "YES" + swifter_param['CHK_CLOSE'] = "YES" + if swifter_param['OUT_STAT'] == "REPLACE": + swifter_param['OUT_STAT'] = "UNKNOWN" + swifter_param['! VERSION'] = "Swifter parameter file converted from Swiftest" + + return swifter_param \ No newline at end of file diff --git a/python/swiftest/swiftest/simulation_class.py b/python/swiftest/swiftest/simulation_class.py index 41d6c345f..e20ef05f7 100644 --- a/python/swiftest/swiftest/simulation_class.py +++ b/python/swiftest/swiftest/simulation_class.py @@ -48,11 +48,12 @@ def __init__(self, codename="Swiftest", param_file=""): 'YORP': "NO", 'MTINY' : "0.0" } + self.codename = codename if param_file != "" : self.read_param(param_file, codename) return - def add(self, plname, date=date.today().isoformat()): + def add(self, plname, date=date.today().isoformat(), idval=None): """ Adds a solar system body to an existing simulation DataSet. @@ -66,7 +67,7 @@ def add(self, plname, date=date.today().isoformat()): ------- self.ds : xarray dataset """ - self.ds = init_cond.solar_system_horizons(plname, self.param, date, self.ds) + self.ds = init_cond.solar_system_horizons(plname, idval, self.param, date, self.ds) return def read_param(self, param_file, codename="Swiftest"): @@ -84,13 +85,15 @@ def read_param(self, param_file, codename="Swiftest"): self.codename = "Unknown" return - def write_param(self, param_file): + def write_param(self, param_file, param=None): + if param is None: + param = self.param # Check to see if the parameter type matches the output type. If not, we need to convert - codename = self.param['! VERSION'].split()[0] + codename = param['! VERSION'].split()[0] if codename == "Swifter" or codename == "Swiftest": - io.write_labeled_param(self.param, param_file) + io.write_labeled_param(param, param_file) elif codename == "Swift": - io.write_swift_param(self.param, param_file) + io.write_swift_param(param, param_file) else: print('Cannot process unknown code type. Call the read_param method with a valid code name. Valid options are "Swiftest", "Swifter", or "Swift".') return @@ -119,7 +122,9 @@ def convert(self, param_file, newcodename="Swiftest", plname="pl.swiftest.in", t self.param = io.swift2swiftest(self.param, plname, tpname, cbname, conversion_questions) else: goodconversion = False - + else: + goodconversion = False + if goodconversion: self.write_param(param_file) else: @@ -163,7 +168,18 @@ def follow(self, codestyle="Swifter"): print('follow.out written') return fol - def save(self, param_file, framenum=-1): - io.swiftest_xr2infile(self.ds, self.param, framenum) - self.write_param(param_file) + def save(self, param_file, framenum=-1, codename="Swiftest"): + if codename == "Swiftest": + io.swiftest_xr2infile(self.ds, self.param, framenum) + self.write_param(param_file) + elif codename == "Swifter": + if self.codename == "Swiftest": + swifter_param = io.swiftest2swifter_param(self.param) + else: + swifter_param = self.param + io.swifter_xr2infile(self.ds, swifter_param, framenum) + self.write_param(param_file, param=swifter_param) + else: + print(f'Saving to {codename} not supported') + return \ No newline at end of file diff --git a/src/drift/drift.f90 b/src/drift/drift.f90 index 31afa8c08..8bba1a273 100644 --- a/src/drift/drift.f90 +++ b/src/drift/drift.f90 @@ -18,10 +18,10 @@ module pure elemental subroutine drift_one(mu, px, py, pz, vx, vy, vz, dt, iflag !! Adapted from Hal Levison and Martin Duncan's Swift routine drift_one.f implicit none ! Arguments - real(DP), intent(in) :: mu !! G * (Mcb + m), G = gravitational constant, Mcb = mass of central body, m = mass of body to drift - real(DP), intent(inout) :: px, py, pz, vx, vy, vz !! Position and velocity of body to drift - real(DP), intent(in) :: dt !! Step size - integer(I4B), intent(out) :: iflag !! iflag : error status flag for Danby drift (0 = OK, nonzero = ERROR) + real(DP), intent(in) :: mu !! G * (Mcb + m), G = gravitational constant, Mcb = mass of central body, m = mass of body to drift + real(DP), intent(inout) :: px, py, pz, vx, vy, vz !! Position and velocity of body to drift + real(DP), intent(in) :: dt !! Step size + integer(I4B), intent(out) :: iflag !! iflag : error status flag for Danby drift (0 = OK, nonzero = ERROR) ! Internals integer(I4B) :: i real(DP) :: dttmp diff --git a/src/gr/gr.f90 b/src/gr/gr.f90 index 6afc9f5ed..a778e3db2 100644 --- a/src/gr/gr.f90 +++ b/src/gr/gr.f90 @@ -11,11 +11,11 @@ subroutine gr_getaccb_ns_body(self, cb, param, agr, agr0) !! Adapted from David A. Minton's Swifter routine routine gr_getaccb_ns.f90 implicit none ! Arguments - class(swiftest_body), intent(inout) :: self - class(swiftest_cb), intent(inout) :: cb + class(swiftest_body), intent(inout) :: self + class(swiftest_cb), intent(inout) :: cb class(swiftest_parameters), intent(in) :: param - real(DP), dimension(:, :), intent(inout) :: agr - real(DP), dimension(NDIM), intent(out) :: agr0 + real(DP), dimension(:, :), intent(inout) :: agr + real(DP), dimension(NDIM), intent(out) :: agr0 ! Internals real(DP), dimension(NDIM) :: xh, vh real(DP) :: rmag, rdotv, vmag2 diff --git a/src/helio/helio_drift.f90 b/src/helio/helio_drift.f90 index 59f828425..ce55797bf 100644 --- a/src/helio/helio_drift.f90 +++ b/src/helio/helio_drift.f90 @@ -20,14 +20,16 @@ module subroutine helio_drift_pl(self, system, param, dt) integer(I4B) :: i !! Loop counter real(DP) :: rmag, vmag2, energy integer(I4B), dimension(:),allocatable :: iflag !! Vectorized error code flag - real(DP), dimension(:), allocatable :: dtp + real(DP), dimension(:), allocatable :: dtp, mu - associate(pl => self, npl => self%nbody) + associate(pl => self, npl => self%nbody, cb => system%cb) if (npl == 0) return allocate(iflag(npl)) iflag(:) = 0 allocate(dtp(npl)) + allocate(mu(npl)) + mu = cb%Gmass if (param%lgr) then do i = 1,npl @@ -40,7 +42,7 @@ module subroutine helio_drift_pl(self, system, param, dt) dtp(:) = dt end if - call drift_one(pl%mu(1:npl), pl%xh(1,1:npl), pl%xh(2,1:npl), pl%xh(3,1:npl), & + call drift_one(mu(1:npl), pl%xh(1,1:npl), pl%xh(2,1:npl), pl%xh(3,1:npl), & pl%vb(1,1:npl), pl%vb(2,1:npl), pl%vb(3,1:npl), & dtp(1:npl), iflag(1:npl)) if (any(iflag(1:npl) /= 0)) then @@ -56,7 +58,7 @@ module subroutine helio_drift_pl(self, system, param, dt) return end subroutine helio_drift_pl - module subroutine helio_drift_linear_pl(self, cb, dt, pt) + module subroutine helio_drift_linear_pl(self, cb, dt, lbeg) !! author: David A. Minton !! !! Perform linear drift of massive bodies due to barycentric momentum of Sun @@ -65,29 +67,30 @@ module subroutine helio_drift_linear_pl(self, cb, dt, pt) !! Adapted from Hal Levison's Swift routine helio_lindrift.f implicit none ! Arguments - class(helio_pl), intent(inout) :: self !! Helio massive body object - class(swiftest_cb), intent(in) :: cb !! Helio central body object - real(DP), intent(in) :: dt !! Stepsize - real(DP), dimension(:), intent(out) :: pt !! negative barycentric velocity of the central body + class(helio_pl), intent(inout) :: self !! Helio massive body object + class(helio_cb), intent(inout) :: cb !! Helio central bod + real(DP), intent(in) :: dt !! Stepsize + logical, intent(in) :: lbeg !! Argument that determines whether or not this is the beginning or end of the step ! Internals - integer(I4B) :: i - real(DP),dimension(NDIM) :: pttmp !intent(out) variables don't play nicely - !with openmp's reduction for some reason - - associate(npl => self%nbody, xh => self%xh, vb => self%vb, GMpl => self%Gmass, GMcb => cb%Gmass) - pttmp(:) = 0.0_DP - do i = 2, npl - pttmp(:) = pttmp(:) + GMpl(i) * vb(:,i) - end do - pttmp(:) = pttmp(:) / GMcb - do i = 2, npl - xh(:,i) = xh(:,i) + pttmp(:) * dt - end do - pt(:) = pttmp(:) + real(DP), dimension(NDIM) :: pt !! negative barycentric velocity of the central body + + associate(pl => self, npl => self%nbody) + pt(1) = sum(pl%Gmass(1:npl) * pl%vb(1,1:npl)) + pt(2) = sum(pl%Gmass(1:npl) * pl%vb(2,1:npl)) + pt(3) = sum(pl%Gmass(1:npl) * pl%vb(3,1:npl)) + pt(:) = pt(:) / cb%Gmass + pl%xh(1,1:npl) = pl%xh(1,1:npl) + pt(1) * dt + pl%xh(2,1:npl) = pl%xh(2,1:npl) + pt(2) * dt + pl%xh(3,1:npl) = pl%xh(3,1:npl) + pt(3) * dt + + if (lbeg) then + cb%ptbeg = pt(:) + else + cb%ptend = pt(:) + end if end associate return - end subroutine helio_drift_linear_pl module subroutine helio_drift_tp(self, system, param, dt) @@ -100,23 +103,22 @@ module subroutine helio_drift_tp(self, system, param, dt) implicit none ! Arguments class(helio_tp), intent(inout) :: self !! Helio test particle object - class(swiftest_nbody_system), intent(inout) :: system !! WHM nbody system object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of - real(DP), intent(in) :: dt !! Stepsiz + real(DP), intent(in) :: dt !! Stepsize ! Internals integer(I4B) :: i !! Loop counter real(DP) :: rmag, vmag2, energy - real(DP), dimension(:), allocatable :: dtp + real(DP), dimension(:), allocatable :: dtp, mu integer(I4B), dimension(:),allocatable :: iflag !! Vectorized error code flag - associate(tp => self, ntp => self%nbody) + associate(tp => self, ntp => self%nbody, cb => system%cb) if (ntp == 0) return allocate(iflag(ntp)) allocate(dtp(ntp)) iflag(:) = 0 - - iflag(:) = 0 - allocate(dtp(ntp)) + allocate(mu(ntp)) + mu = cb%Gmass if (param%lgr) then do i = 1,ntp @@ -128,9 +130,9 @@ module subroutine helio_drift_tp(self, system, param, dt) else dtp(:) = dt end if - call drift_one(tp%mu(1:ntp), tp%xh(1,1:ntp), tp%xh(2,1:ntp), tp%xh(3,1:ntp), & - tp%vh(1,1:ntp), tp%vh(2,1:ntp), tp%vh(3,1:ntp), & - dtp(1:ntp), iflag(1:ntp)) + call drift_one(mu(1:ntp), tp%xh(1,1:ntp), tp%xh(2,1:ntp), tp%xh(3,1:ntp), & + tp%vb(1,1:ntp), tp%vb(2,1:ntp), tp%vb(3,1:ntp), & + dtp(1:ntp), iflag(1:ntp)) if (any(iflag(1:ntp) /= 0)) then tp%status = DISCARDED_DRIFTERR do i = 1, ntp @@ -142,7 +144,7 @@ module subroutine helio_drift_tp(self, system, param, dt) return end subroutine helio_drift_tp - module subroutine helio_drift_linear_tp(self, dt, pt) + module subroutine helio_drift_linear_tp(self, cb, dt, lbeg) !! author: David A. Minton !! !! Perform linear drift of test particles due to barycentric momentum of Sun @@ -152,15 +154,23 @@ module subroutine helio_drift_linear_tp(self, dt, pt) !! Adapted from Hal Levison's Swift routine helio_lindrift_tp.f implicit none ! Arguments - class(helio_tp), intent(inout) :: self !! Helio test particle data structure - real(DP), intent(in) :: dt !! Stepsize - real(DP), dimension(:), intent(in) :: pt !! negative barycentric velocity of the Sun - - associate(ntp => self%nbody, xh => self%xh, status => self%status) - where (status(1:ntp) == ACTIVE) - xh(1:ntp, 1) = xh(1:ntp, 1) + pt(1) * dt - xh(1:ntp, 2) = xh(1:ntp, 2) + pt(2) * dt - xh(1:ntp, 3) = xh(1:ntp, 3) + pt(3) * dt + class(helio_tp), intent(inout) :: self !! Helio test particleb object + class(helio_cb), intent(in) :: cb !! Helio central body + real(DP), intent(in) :: dt !! Stepsize + logical, intent(in) :: lbeg !! Argument that determines whether or not this is the beginning or end of the step + ! Internals + real(DP), dimension(NDIM) :: pt !! negative barycentric velocity of the central body + + associate(tp => self, ntp => self%nbody) + if (lbeg) then + pt(:) = cb%ptbeg + else + pt(:) = cb%ptend + end if + where (tp%status(1:ntp) == ACTIVE) + tp%xh(1, 1:ntp) = tp%xh(1, 1:ntp) + pt(1) * dt + tp%xh(2, 1:ntp) = tp%xh(2, 1:ntp) + pt(2) * dt + tp%xh(3, 1:ntp) = tp%xh(3, 1:ntp) + pt(3) * dt end where end associate diff --git a/src/helio/helio_getacch.f90 b/src/helio/helio_getacch.f90 index af6ab9e4d..4b598f204 100644 --- a/src/helio/helio_getacch.f90 +++ b/src/helio/helio_getacch.f90 @@ -1,7 +1,7 @@ submodule (helio_classes) s_helio_getacch use swiftest contains - module subroutine helio_getacch_pl(self, system, param, t) + module subroutine helio_getacch_pl(self, system, param, t, lbeg) !! author: David A. Minton !! !! Compute heliocentric accelerations of massive bodies @@ -14,26 +14,23 @@ module subroutine helio_getacch_pl(self, system, param, t) class(swiftest_nbody_system), intent(inout) :: system !! WHM nbody system object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of real(DP), intent(in) :: t !! Current simulation time - ! Internals - logical, save :: lmalloc = .true. - integer(I4B) :: i - real(DP) :: r2 - real(DP), dimension(:), allocatable, save :: irh - real(DP), dimension(:, :), allocatable, save :: xh_loc, aobl + logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the step associate(cb => system%cb, pl => self, npl => self%nbody) - pl%ahi(:,2:npl) = 0.0_DP call helio_getacch_int_pl(pl, t) - pl%ah(:,:) = pl%ahi(:,:) - if (param%loblatecb) call pl%obl_acc(cb) - if (param%lextra_force) call pl%user_getacch(system, param, t) - if (param%lgr) call pl%gr_getacch(param) + if (param%loblatecb) then + cb%aoblbeg = cb%aobl + call pl%accel_obl(system) + cb%aoblend = cb%aobl + end if + if (param%lextra_force) call pl%accel_user(system, param, t) + !if (param%lgr) call pl%gr_accel(param) end associate return end subroutine helio_getacch_pl - module subroutine helio_getacch_tp(self, system, param, t, xhp) + module subroutine helio_getacch_tp(self, system, param, t, lbeg) !! author: David A. Minton !! !! Compute heliocentric accelerations of test particles @@ -46,23 +43,19 @@ module subroutine helio_getacch_tp(self, system, param, t, xhp) class(swiftest_nbody_system), intent(inout) :: system !! WHM nbody system object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of real(DP), intent(in) :: t !! Current time - real(DP), dimension(:,:), intent(in) :: xhp !! Heliocentric positions of planets at the current substep + logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the step ! Internals - logical, save :: lmalloc = .true. - integer(I4B) :: i - real(DP) :: r2, mu - real(DP), dimension(:), allocatable, save :: irh, irht + logical, save :: lmalloc = .true. + integer(I4B) :: i + real(DP) :: r2, mu + real(DP), dimension(:), allocatable, save :: irh, irht - associate(tp => self, ntp => self%nbody, cb => system%cb, pl => system%pl, npl => system%pl%nbody) - select type(pl => system%pl) - class is (helio_pl) - self%ahi(:,:) = 0.0_DP - call helio_getacch_int_tp(tp, pl, t, xhp) - tp%ah(:,:) = tp%ahi(:,:) - if (param%loblatecb) call tp%obl_acc(cb) - if (param%lextra_force) call tp%user_getacch(system, param, t) - if (param%lgr) call tp%gr_getacch(param) - end select + associate(tp => self, ntp => self%nbody, cb => system%cb, npl => system%pl%nbody) + if (present(lbeg)) system%lbeg = lbeg + call helio_getacch_int_tp(tp, system, param, t) + if (param%loblatecb) call tp%accel_obl(system) + if (param%lextra_force) call tp%accel_user(system, param, t) + !if (param%lgr) call tp%gr_accel(param) end associate return end subroutine helio_getacch_tp @@ -84,15 +77,16 @@ subroutine helio_getacch_int_pl(pl, t) real(DP), dimension(NDIM) :: dx associate(npl => pl%nbody) - do i = 2, npl - 1 + pl%ah(:,:) = 0.0_DP + do i = 1, npl - 1 do j = i + 1, npl dx(:) = pl%xh(:,j) - pl%xh(:,i) rji2 = dot_product(dx(:), dx(:)) irij3 = 1.0_DP / (rji2 * sqrt(rji2)) faci = pl%Gmass(i) * irij3 facj = pl%Gmass(j) * irij3 - pl%ahi(:,i) = pl%ahi(:,i) + facj * dx(:) - pl%ahi(:,i) = pl%ahi(:,j) - faci * dx(:) + pl%ah(:,i) = pl%ah(:,i) + facj * dx(:) + pl%ah(:,j) = pl%ah(:,j) - faci * dx(:) end do end do end associate @@ -100,7 +94,7 @@ subroutine helio_getacch_int_pl(pl, t) return end subroutine helio_getacch_int_pl - subroutine helio_getacch_int_tp(tp, pl, t, xhp) + subroutine helio_getacch_int_tp(tp, system, param, t) !! author: David A. Minton !! !! Compute direct cross term heliocentric accelerations of test particles @@ -109,23 +103,31 @@ subroutine helio_getacch_int_tp(tp, pl, t, xhp) !! Adapted from Hal Levison's Swift routine getacch_ah3_tp.f implicit none ! Arguments - class(helio_tp), intent(inout) :: tp !! Helio test particle data structure - class(swiftest_pl), intent(inout) :: pl !! Helio massive body particle data structure - real(DP), intent(in) :: t !! Current time - real(DP), dimension(:,:), intent(in) :: xhp !! Heliocentric positions of planets + class(helio_tp), intent(inout) :: tp !! Helio test particle object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object + class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of + real(DP), intent(in) :: t !! Current times ! Internals - integer(I4B) :: i, j - real(DP) :: r2, fac - real(DP), dimension(NDIM) :: dx + integer(I4B) :: i, j + real(DP) :: r2, fac + real(DP), dimension(NDIM) :: dx + real(DP), dimension(:, :), allocatable :: xhp + + associate(ntp => tp%nbody, pl => system%pl, npl => system%pl%nbody, lbeg => system%lbeg) + if (lbeg) then + allocate(xhp, source=pl%xbeg) + else + allocate(xhp, source=pl%xend) + end if - associate(ntp => tp%nbody, npl => pl%nbody) + tp%ah(:,:) = 0.0_DP do i = 1, ntp if (tp%status(i) == ACTIVE) then - do j = 2, npl + do j = 1, npl dx(:) = tp%xh(:,i) - xhp(:,j) r2 = dot_product(dx(:), dx(:)) fac = pl%Gmass(j) / (r2 * sqrt(r2)) - tp%ahi(:,i) = tp%ahi(:,i) - fac * dx(:) + tp%ah(:,i) = tp%ah(:,i) - fac * dx(:) end do end if end do diff --git a/src/helio/helio_kick.f90 b/src/helio/helio_kick.f90 new file mode 100644 index 000000000..9d5cea3a6 --- /dev/null +++ b/src/helio/helio_kick.f90 @@ -0,0 +1,53 @@ +submodule(helio_classes) s_helio_kick + use swiftest +contains + module subroutine helio_kickvb_pl(self, dt) + !! author: David A. Minton + !! + !! Kick barycentric velocities of bodies + !! + !! Adapted from Martin Duncan and Hal Levison's Swift routine kickvh.f + !! Adapted from David E. Kaufmann's Swifter routine helio_kickvb.f90 + implicit none + ! Arguments + class(helio_pl), intent(inout) :: self !! Swiftest generic body object + real(DP), intent(in) :: dt !! Stepsize + ! Internals + integer(I4B) :: i + + associate(pl => self, npl => self%nbody) + if (npl ==0) return + do concurrent(i = 1:npl, pl%status(i) == ACTIVE) + pl%vb(:, i) = pl%vb(:, i) + pl%ah(:, i) * dt + end do + end associate + + return + + end subroutine helio_kickvb_pl + + module subroutine helio_kickvb_tp(self, dt) + !! author: David A. Minton + !! + !! Kick barycentric velocities of bodies + !! + !! Adapted from Martin Duncan and Hal Levison's Swift routine kickvh_tp.f + !! Adapted from David E. Kaufmann's Swifter routine helio_kickvb_tp.f90 + implicit none + ! Arguments + class(helio_tp), intent(inout) :: self !! Swiftest generic body object + real(DP), intent(in) :: dt !! Stepsize + ! Internals + integer(I4B) :: i + + associate(tp => self, ntp => self%nbody) + if (ntp ==0) return + do concurrent(i = 1:ntp, tp%status(i) == ACTIVE) + tp%vb(:, i) = tp%vb(:, i) + tp%ah(:, i) * dt + end do + end associate + + return + + end subroutine helio_kickvb_tp +end submodule s_helio_kick \ No newline at end of file diff --git a/src/helio/helio_setup.f90 b/src/helio/helio_setup.f90 deleted file mode 100644 index b31b43b26..000000000 --- a/src/helio/helio_setup.f90 +++ /dev/null @@ -1,39 +0,0 @@ -submodule(helio_classes) s_helio_setup - use swiftest -contains - module procedure helio_setup_pl - !! author: David A. Minton & Carlisle A. Wishard - !! - !! Allocate Helio planet structure - !! - !! Equivalent in functionality to David E. Kaufmann's Swifter routine helio_setup.f90 - implicit none - - !> Call allocation method for great-grandparent class (we don't need Jacobi variables from WHM/RMVS) - call setup_pl(self, n) - if (n <= 0) return - - allocate(self%ahi(NDIM, n)) - self%ahi(:,:) = 0.0_DP - return - end procedure helio_setup_pl - - module procedure helio_setup_tp - !! author: David A. Minton & Carlisle A. Wishard - !! - !! Allocate Helio test particle structure - !! - !! Equivalent in functionality to David E. Kaufmann's Swifter routine helio_setup.f90 - implicit none - - !> Call allocation method for great-grandparent class - call setup_tp(self, n) - if (n <= 0) return - - allocate(self%ahi(NDIM, n)) - self%ahi(:,:) = 0.0_DP - - return - end procedure helio_setup_tp - -end submodule s_helio_setup \ No newline at end of file diff --git a/src/helio/helio_step.f90 b/src/helio/helio_step.f90 index 53052fc9e..8557477f7 100644 --- a/src/helio/helio_step.f90 +++ b/src/helio/helio_step.f90 @@ -15,25 +15,12 @@ module subroutine helio_step_system(self, param, t, dt) real(DP), intent(in) :: t !! Simulation time real(DP), intent(in) :: dt !! Current stepsize - select type(system => self) - class is (helio_nbody_system) - select type(cb => self%cb) - class is (helio_cb) - select type(pl => self%pl) - class is (helio_pl) - select type(tp => self%tp) - class is (helio_tp) - call pl%set_rhill(cb) - call system%set_beg_end(xbeg = pl%xh) - call pl%step(system, param, t, dt) - if (tp%nbody > 0) then - call system%set_beg_end(xend = pl%xh) - call tp%step(system, param, t, dt) - end if - end select - end select - end select - end select + associate(system => self, cb => self%cb, pl => self%pl, tp => self%tp) + tp%lfirst = pl%lfirst + call pl%set_rhill(cb) + call pl%step(system, param, t, dt) + call tp%step(system, param, t, dt) + end associate return end subroutine helio_step_system @@ -54,24 +41,27 @@ module subroutine helio_step_pl(self, system, param, t, dt) ! Internals integer(I4B) :: i real(DP) :: dth, msys - real(DP), dimension(NDIM) :: ptbeg, ptend !! TODO: Incorporate these into the tp structure - logical, save :: lfirst = .true. - - associate(pl => self, cb => system%cb) - dth = 0.5_DP * dt - if (lfirst) then - call pl%vh2vb(cb) - lfirst = .false. - end if - call pl%lindrift(cb, dth, ptbeg) - call pl%getacch(system, param, t) - call pl%kickvb(dth) - call pl%drift(system, param, dt) - call pl%getacch(system, param, t + dt) - call pl%kickvb(dth) - call pl%lindrift(cb, dth, ptend) - call pl%vb2vh(cb) + if (self%nbody == 0) return + associate(pl => self) + select type(cb => system%cb) + class is (helio_cb) + dth = 0.5_DP * dt + if (pl%lfirst) then + call pl%vh2vb(cb) + pl%lfirst = .false. + end if + call pl%lindrift(cb, dth, lbeg=.true.) + call pl%accel(system, param, t) + call pl%kick(dth) + call pl%set_beg_end(xbeg = pl%xh) + call pl%drift(system, param, dt) + call pl%set_beg_end(xend = pl%xh) + call pl%accel(system, param, t + dt) + call pl%kick(dth) + call pl%lindrift(cb, dth, lbeg=.false.) + call pl%vb2vh(cb) + end select end associate return @@ -94,27 +84,28 @@ module subroutine helio_step_tp(self, system, param, t, dt) real(DP), intent(in) :: t !! Current simulation time real(DP), intent(in) :: dt !! Stepsiz ! Internals - logical, save :: lfirst = .true. !! Flag to indicate that this is the first call real(DP) :: dth !! Half step size - select type(system) - class is (helio_nbody_system) - associate(tp => self, cb => system%cb, pl => system%pl, xbeg => system%xbeg, xend => system%xend) + if (self%nbody == 0) return + + associate(tp => self) + select type(cb => system%cb) + class is (helio_cb) dth = 0.5_DP * dt - if (lfirst) then - call tp%vh2vb(vbcb = -tp%ptbeg) - lfirst = .false. + if (tp%lfirst) then + call tp%vh2vb(vbcb = -cb%ptbeg) + tp%lfirst = .false. end if - call tp%lindrift(dth, tp%ptbeg) - call tp%getacch(system, param, t, xbeg) - call tp%kickvb(dth) + call tp%lindrift(cb, dth, lbeg=.true.) + call tp%accel(system, param, t, lbeg=.true.) + call tp%kick(dth) call tp%drift(system, param, dt) - call tp%getacch(system, param, t + dt, xend) - call tp%kickvb(dth) - call tp%lindrift(dth, tp%ptend) - call tp%vb2vh(vbcb = -tp%ptend) - end associate - end select + call tp%accel(system, param, t + dt, lbeg=.false.) + call tp%kick(dth) + call tp%lindrift(cb, dth, lbeg=.false.) + call tp%vb2vh(vbcb = -cb%ptend) + end select + end associate return diff --git a/src/io/io.f90 b/src/io/io.f90 index 326b4950c..55789417b 100644 --- a/src/io/io.f90 +++ b/src/io/io.f90 @@ -264,20 +264,17 @@ module subroutine io_param_reader(self, unit, iotype, v_list, iostat, iomsg) end if else if (self%lfragmentation) then - write(iomsg,*) 'This integrator does not support fragmentation.' - iostat = -1 - return + write(iomsg,*) 'This integrator does not support fragmentation. This parameter will be ignored.' end if if (mtiny_set) then - write(iomsg,*) 'This integrator does not support MTINY' - iostat = -1 + write(iomsg,*) 'This integrator does not support MTINY. This parameter will be ignored.' return end if end if if ((integrator == SYMBA) .or. (integrator == RINGMOONS) .or. (integrator == RMVS)) then if (.not.self%lclose) then - write(iomsg,*) 'This integrator requires CHK_CLOSE to be enabled' + write(iomsg,*) 'This integrator requires CHK_CLOSE to be enabled.' iostat = -1 return end if @@ -295,11 +292,10 @@ module subroutine io_param_reader(self, unit, iotype, v_list, iostat, iomsg) ! Determine if the GR flag is set correctly for this integrator select case(integrator) - case(WHM) + case(WHM, RMVS) write(*,*) "GR = ", self%lgr case default - write(iomsg, *) 'GR is implemented compatible with this integrator' - iostat = -1 + write(iomsg, *) 'GR is implemented compatible with this integrator. This parameter will be ignored.' end select iostat = 0 @@ -1084,7 +1080,7 @@ module subroutine io_write_discard(self, param) if (param%lgr) then select type(discards) class is (whm_tp) - call discards%gr_pv2vh(param) + call discards%pv2vh(param) end select end if write(LUN, HDRFMT) t, nsp, param%lbig_discard @@ -1101,7 +1097,7 @@ module subroutine io_write_discard(self, param) allocate(pltemp, source = pl) select type(pltemp) class is (whm_pl) - call pltemp%gr_pv2vh(param) + call pltemp%pv2vh(param) allocate(vh, source = pltemp%vh) end select deallocate(pltemp) @@ -1320,11 +1316,11 @@ module subroutine io_write_frame_system(self, iu, param) associate(vh => pl%vh, vht => tp%vh) select type(pl) class is (whm_pl) - call pl%gr_pv2vh(param) + call pl%pv2vh(param) end select select type(tp) class is (whm_tp) - call tp%gr_pv2vh(param) + call tp%pv2vh(param) end select end associate end if diff --git a/src/kick/kick.f90 b/src/kick/kick.f90 index 97a2b2bab..a54677dcd 100644 --- a/src/kick/kick.f90 +++ b/src/kick/kick.f90 @@ -1,7 +1,7 @@ submodule(swiftest_classes) s_kick use swiftest contains - module subroutine kick_vh_body(self, dt) + module subroutine kickvh_body(self, dt) !! author: David A. Minton !! !! Kick heliocentric velocities of bodies @@ -23,30 +23,6 @@ module subroutine kick_vh_body(self, dt) end associate return - end subroutine kick_vh_body + end subroutine kickvh_body - module subroutine kick_vb_body(self, dt) - !! author: David A. Minton - !! - !! Kick barycentric velocities of bodies - !! - !! Adapted from Martin Duncan and Hal Levison's Swift routine kickvh.f and kickvh_tp.f - !! Adapted from David E. Kaufmann's Swifter routine helio_kickvb.f90 and helio_kickvb_tp.f90 - implicit none - ! Arguments - class(swiftest_body), intent(inout) :: self !! Swiftest generic body object - real(DP), intent(in) :: dt !! Stepsize - ! Internals - integer(I4B) :: i - - associate(n => self%nbody, vb => self%vb, ah => self%ah, status => self%status) - if (n ==0) return - do concurrent(i = 1:n, status(i) == ACTIVE) - vb(:, i) = vb(:, i) + ah(:, i) * dt - end do - end associate - - return - - end subroutine kick_vb_body end submodule s_kick diff --git a/src/main/swiftest_driver.f90 b/src/main/swiftest_driver.f90 index b2384757a..4ed7cf3fe 100644 --- a/src/main/swiftest_driver.f90 +++ b/src/main/swiftest_driver.f90 @@ -14,7 +14,6 @@ program swiftest_driver integer(I4B) :: integrator !! Integrator type code (see swiftest_globals for symbolic names) character(len=:),allocatable :: param_file_name !! Name of the file containing user-defined parameters integer(I4B) :: ierr !! I/O error code - logical :: lfirst !! Flag indicating that this is the first time through the main loop integer(I8B) :: iloop !! Loop counter integer(I8B) :: idump !! Dump cadence counter integer(I8B) :: iout !! Output cadence counter @@ -22,7 +21,6 @@ program swiftest_driver real(DP) :: start_wall_time !! Wall clock time at start of execution real(DP) :: finish_wall_time !! Wall clock time when execution has finished integer(I4B) :: iu !! Unit number of binary file - integer(I4B) :: ntp, npl character(*),parameter :: statusfmt = '("Time = ", ES12.5, "; fraction done = ", F6.3, "; ' // & 'Number of active pl, tp = ", I5, ", ", I5)' @@ -43,7 +41,6 @@ program swiftest_driver istep_out => param%istep_out, & istep_dump => param%istep_dump) call nbody_system%initialize(param) - lfirst = .true. t = t0 iloop = 0 iout = istep_out @@ -57,8 +54,6 @@ program swiftest_driver !$ write(*,'(a,i3,/)') ' Number of threads = ', nthreads write(*, *) " *************** Main Loop *************** " do iloop = 1, LOOPMAX - ntp = nbody_system%tp%nbody - npl = nbody_system%pl%nbody !> Step the system forward in time call nbody_system%step(param, t, dt) diff --git a/src/modules/helio_classes.f90 b/src/modules/helio_classes.f90 index ad10018a2..d97a1608c 100644 --- a/src/modules/helio_classes.f90 +++ b/src/modules/helio_classes.f90 @@ -4,24 +4,25 @@ module helio_classes !! Definition of classes and methods specific to the Democratic Heliocentric Method !! Adapted from David E. Kaufmann's Swifter routine: helio.f90 use swiftest_globals - use rmvs_classes, only : rmvs_cb, rmvs_pl, rmvs_tp, rmvs_nbody_system + use swiftest_classes, only : swiftest_cb, swiftest_pl, swiftest_tp + use whm_classes, only : whm_nbody_system implicit none !******************************************************************************************************************************** ! helio_nbody_system class definitions and method interfaces !******************************************************************************************************************************** - type, public, extends(rmvs_nbody_system) :: helio_nbody_system + type, public, extends(whm_nbody_system) :: helio_nbody_system contains - private - procedure, public :: step => helio_step_system end type helio_nbody_system !******************************************************************************************************************************** ! helio_cb class definitions and method interfaces !******************************************************************************************************************************* !> Helio central body particle class - type, public, extends(rmvs_cb) :: helio_cb + type, public, extends(swiftest_cb) :: helio_cb + real(DP), dimension(NDIM) :: ptbeg !! negative barycentric velocity of the central body at the beginning of time step + real(DP), dimension(NDIM) :: ptend !! negative barycentric velocity of the central body at the end of time step contains end type helio_cb @@ -30,16 +31,16 @@ module helio_classes !******************************************************************************************************************************* !! Helio massive body particle class - type, public, extends(rmvs_pl) :: helio_pl + type, public, extends(swiftest_pl) :: helio_pl real(DP), dimension(:,:), allocatable :: ahi !! heliocentric acceleration due to interactions contains - procedure, public :: vh2vb => helio_coord_vh2vb_pl !! Convert massive bodies from heliocentric to barycentric coordinates (velocity only) - procedure, public :: vb2vh => helio_coord_vb2vh_pl !! Convert massive bodies from barycentric to heliocentric coordinates (velocity only) - procedure, public :: drift => helio_drift_pl !! Method for Danby drift in Democratic Heliocentric coordinates - procedure, public :: lindrift => helio_drift_linear_pl !! Method for linear drift of massive bodies due to barycentric momentum of Sun - procedure, public :: getacch => helio_getacch_pl !! Compute heliocentric accelerations of massive bodies - procedure, public :: setup => helio_setup_pl !! Constructor method - Allocates space for number of particles - procedure, public :: step => helio_step_pl !! Steps the body forward one stepsize + procedure, public :: vh2vb => helio_coord_vh2vb_pl !! Convert massive bodies from heliocentric to barycentric coordinates (velocity only) + procedure, public :: vb2vh => helio_coord_vb2vh_pl !! Convert massive bodies from barycentric to heliocentric coordinates (velocity only) + procedure, public :: drift => helio_drift_pl !! Method for Danby drift in Democratic Heliocentric coordinates + procedure, public :: lindrift => helio_drift_linear_pl !! Method for linear drift of massive bodies due to barycentric momentum of Sun + procedure, public :: accel => helio_getacch_pl !! Compute heliocentric accelerations of massive bodies + procedure, public :: kick => helio_kickvb_pl !! Kicks the barycentric velocities + procedure, public :: step => helio_step_pl !! Steps the body forward one stepsize end type helio_pl !******************************************************************************************************************************** @@ -47,18 +48,15 @@ module helio_classes !******************************************************************************************************************************* !! Helio test particle class - type, public, extends(rmvs_tp) :: helio_tp - real(DP), dimension(:,:), allocatable :: ahi !! heliocentric acceleration due to interactions - real(DP), dimension(NDIM) :: ptbeg !! negative barycentric velocity of the Sun at beginning of time step - real(DP), dimension(NDIM) :: ptend !! negative barycentric velocity of the Sun at beginning of time step + type, public, extends(swiftest_tp) :: helio_tp contains - procedure, public :: vh2vb => helio_coord_vh2vb_tp !! Convert test particles from heliocentric to barycentric coordinates (velocity only) - procedure, public :: vb2vh => helio_coord_vb2vh_tp !! Convert test particles from barycentric to heliocentric coordinates (velocity only) - procedure, public :: drift => helio_drift_tp !! Method for Danby drift in Democratic Heliocentric coordinates - procedure, public :: lindrift => helio_drift_linear_tp !! Method for linear drift of massive bodies due to barycentric momentum of Sun - procedure, public :: getacch => helio_getacch_tp !! Compute heliocentric accelerations of massive bodies - procedure, public :: setup => helio_setup_tp !! Constructor method - Allocates space for number of particles - procedure, public :: step => helio_step_tp !! Steps the body forward one stepsize + procedure, public :: vh2vb => helio_coord_vh2vb_tp !! Convert test particles from heliocentric to barycentric coordinates (velocity only) + procedure, public :: vb2vh => helio_coord_vb2vh_tp !! Convert test particles from barycentric to heliocentric coordinates (velocity only) + procedure, public :: drift => helio_drift_tp !! Method for Danby drift in Democratic Heliocentric coordinates + procedure, public :: lindrift => helio_drift_linear_tp !! Method for linear drift of massive bodies due to barycentric momentum of Sun + procedure, public :: accel => helio_getacch_tp !! Compute heliocentric accelerations of massive bodies + procedure, public :: kick => helio_kickvb_tp !! Kicks the barycentric velocities + procedure, public :: step => helio_step_tp !! Steps the body forward one stepsize end type helio_tp interface @@ -92,7 +90,7 @@ module subroutine helio_drift_pl(self, system, param, dt) use swiftest_classes, only : swiftest_nbody_system, swiftest_parameters implicit none class(helio_pl), intent(inout) :: self !! Helio massive body object - class(swiftest_nbody_system), intent(inout) :: system !! WHM nbody system object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of real(DP), intent(in) :: dt !! Stepsize end subroutine helio_drift_pl @@ -101,57 +99,58 @@ module subroutine helio_drift_tp(self, system, param, dt) use swiftest_classes, only : swiftest_nbody_system, swiftest_parameters implicit none class(helio_tp), intent(inout) :: self !! Helio test particle object - class(swiftest_nbody_system), intent(inout) :: system !! WHM nbody system object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of real(DP), intent(in) :: dt !! Stepsize end subroutine helio_drift_tp - module subroutine helio_drift_linear_pl(self, cb, dt, pt) - use swiftest_classes, only : swiftest_cb + module subroutine helio_drift_linear_pl(self, cb, dt, lbeg) implicit none - class(helio_pl), intent(inout) :: self !! Helio test particle data structure - class(swiftest_cb), intent(in) :: cb !! Helio central body data structure - real(DP), intent(in) :: dt !! Stepsize - real(DP), dimension(:), intent(out) :: pt !! negative barycentric velocity of the central body + class(helio_pl), intent(inout) :: self !! Helio massive body object + class(helio_cb), intent(inout) :: cb !! Helio central body object + real(DP), intent(in) :: dt !! Stepsize + logical, intent(in) :: lbeg !! Argument that determines whether or not this is the beginning or end of the step end subroutine helio_drift_linear_pl - module subroutine helio_drift_linear_tp(self, dt, pt) + module subroutine helio_drift_linear_tp(self, cb, dt, lbeg) implicit none - class(helio_tp), intent(inout) :: self !! Helio test particle data structure - real(DP), intent(in) :: dt !! Stepsize - real(DP), dimension(:), intent(in) :: pt !! negative barycentric velocity of the Sun + class(helio_tp), intent(inout) :: self !! Helio test particle object + class(helio_cb), intent(in) :: cb !! Helio nbody system object + real(DP), intent(in) :: dt !! Stepsize + logical, intent(in) :: lbeg !! Argument that determines whether or not this is the beginning or end of the step end subroutine helio_drift_linear_tp - module subroutine helio_getacch_pl(self, system, param, t) + module subroutine helio_getacch_pl(self, system, param, t, lbeg) use swiftest_classes, only : swiftest_parameters, swiftest_nbody_system implicit none - class(helio_pl), intent(inout) :: self !! Helio massive body particle data structure - class(swiftest_nbody_system), intent(inout) :: system !! WHM nbody system object + class(helio_pl), intent(inout) :: self !! Helio massive body object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of real(DP), intent(in) :: t !! Current simulation time + logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the step end subroutine helio_getacch_pl - module subroutine helio_getacch_tp(self, system, param, t, xhp) + module subroutine helio_getacch_tp(self, system, param, t, lbeg) use swiftest_classes, only : swiftest_parameters, swiftest_nbody_system implicit none - class(helio_tp), intent(inout) :: self !! Helio test particle data structure - class(swiftest_nbody_system), intent(inout) :: system !! WHM nbody system object + class(helio_tp), intent(inout) :: self !! Helio test particle object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters real(DP), intent(in) :: t !! Current time - real(DP), dimension(:,:), intent(in) :: xhp !! Heliocentric positions of planets + logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the step end subroutine helio_getacch_tp - module subroutine helio_setup_pl(self, n) + module subroutine helio_kickvb_pl(self, dt) implicit none class(helio_pl), intent(inout) :: self !! Helio massive body object - integer, intent(in) :: n !! Number of test particles to allocate - end subroutine helio_setup_pl + real(DP), intent(in) :: dt !! Stepsize + end subroutine helio_kickvb_pl - module subroutine helio_setup_tp(self,n) + module subroutine helio_kickvb_tp(self, dt) implicit none class(helio_tp), intent(inout) :: self !! Helio test particle object - integer, intent(in) :: n !! Number of test particles to allocate - end subroutine helio_setup_tp + real(DP), intent(in) :: dt !! Stepsize + end subroutine helio_kickvb_tp module subroutine helio_step_system(self, param, t, dt) use swiftest_classes, only : swiftest_parameters @@ -165,7 +164,7 @@ end subroutine helio_step_system module subroutine helio_step_pl(self, system, param, t, dt) use swiftest_classes, only : swiftest_nbody_system, swiftest_parameters implicit none - class(helio_pl), intent(inout) :: self !! Helio massive body particle data structure + class(helio_pl), intent(inout) :: self !! Helio massive body particle object class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nboody system class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters real(DP), intent(in) :: t !! Current simulation time @@ -175,7 +174,7 @@ end subroutine helio_step_pl module subroutine helio_step_tp(self, system, param, t, dt) use swiftest_classes, only : swiftest_cb, swiftest_parameters implicit none - class(helio_tp), intent(inout) :: self !! Helio test particle data structure + class(helio_tp), intent(inout) :: self !! Helio test particle object class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters real(DP), intent(in) :: t !! Current simulation time diff --git a/src/modules/rmvs_classes.f90 b/src/modules/rmvs_classes.f90 index e595af5fe..2baad04eb 100644 --- a/src/modules/rmvs_classes.f90 +++ b/src/modules/rmvs_classes.f90 @@ -8,7 +8,6 @@ module rmvs_classes implicit none public - integer(I4B), parameter :: NTENC = 10 integer(I4B), parameter :: NTPHENC = 3 integer(I4B), parameter :: NTPENC = NTENC * NTPHENC @@ -27,9 +26,8 @@ module rmvs_classes contains private !> Replace the abstract procedures with concrete ones - procedure, public :: initialize => rmvs_setup_system !! Performs RMVS-specific initilization steps, like calculating the Jacobi masses - procedure, public :: step => rmvs_step_system - procedure, public :: set_beg_end => rmvs_setup_set_beg_end !! Sets the beginning and ending values of planet positions. Also adds the end velocity for RMVS + procedure, public :: initialize => rmvs_setup_system !! Performs RMVS-specific initilization steps, including generating the close encounter planetocentric structures + procedure, public :: step => rmvs_step_system !! Advance the RMVS nbody system forward in time by one step end type rmvs_nbody_system type, private :: rmvs_interp @@ -68,13 +66,13 @@ module rmvs_classes integer(I4B) :: ipleP !! index value of encountering planet logical :: lplanetocentric = .false. !! Flag that indicates that the object is a planetocentric set of masive bodies used for close encounter calculations contains - procedure, public :: discard => rmvs_discard_tp !! Check to see if test particles should be discarded based on pericenter passage distances with respect to planets encountered - procedure, public :: encounter_check => rmvs_encounter_check_tp !! Checks if any test particles are undergoing a close encounter with a massive body - procedure, public :: fill => rmvs_fill_tp !! "Fills" bodies from one object into another depending on the results of a mask (uses the MERGE intrinsic) - procedure, public :: getacch => rmvs_getacch_tp !! Calculates either the standard or modified version of the acceleration depending if the + procedure, public :: discard => rmvs_discard_tp !! Check to see if test particles should be discarded based on pericenter passage distances with respect to planets encountered + procedure, public :: encounter_check => rmvs_encounter_check_tp !! Checks if any test particles are undergoing a close encounter with a massive body + procedure, public :: fill => rmvs_fill_tp !! "Fills" bodies from one object into another depending on the results of a mask (uses the MERGE intrinsic) + procedure, public :: accel => rmvs_getacch_tp !! Calculates either the standard or modified version of the acceleration depending if the !! if the test particle is undergoing a close encounter or not - procedure, public :: setup => rmvs_setup_tp !! Constructor method - Allocates space for number of particles - procedure, public :: spill => rmvs_spill_tp !! "Spills" bodies from one object to another depending on the results of a mask (uses the PACK intrinsic) + procedure, public :: setup => rmvs_setup_tp !! Constructor method - Allocates space for number of particles + procedure, public :: spill => rmvs_spill_tp !! "Spills" bodies from one object to another depending on the results of a mask (uses the PACK intrinsic) end type rmvs_tp !******************************************************************************************************************************** @@ -83,11 +81,11 @@ module rmvs_classes !> RMVS massive body particle class type, private, extends(whm_pl) :: rmvs_pl - integer(I4B), dimension(:), allocatable :: nenc !! number of test particles encountering planet this full rmvs time step - integer(I4B), dimension(:), allocatable :: tpenc1P !! index of first test particle encountering planet - integer(I4B), dimension(:), allocatable :: plind ! Connects the planetocentric indices back to the heliocentric planet list - type(rmvs_interp), dimension(:), allocatable :: outer !! interpolated heliocentric central body position for outer encounters - type(rmvs_interp), dimension(:), allocatable :: inner !! interpolated heliocentric central body position for inner encounters + integer(I4B), dimension(:), allocatable :: nenc !! number of test particles encountering planet this full rmvs time step + integer(I4B), dimension(:), allocatable :: tpenc1P !! index of first test particle encountering planet + integer(I4B), dimension(:), allocatable :: plind ! Connects the planetocentric indices back to the heliocentric planet list + type(rmvs_interp), dimension(:), allocatable :: outer !! interpolated heliocentric central body position for outer encounters + type(rmvs_interp), dimension(:), allocatable :: inner !! interpolated heliocentric central body position for inner encounters class(rmvs_nbody_system), dimension(:), allocatable :: planetocentric logical :: lplanetocentric = .false. !! Flag that indicates that the object is a planetocentric set of masive bodies used for close encounter calculations contains @@ -129,14 +127,14 @@ module subroutine rmvs_fill_tp(self, inserts, lfill_list) logical, dimension(:), intent(in) :: lfill_list !! Logical array of bodies to merge into the keeps end subroutine rmvs_fill_tp - module subroutine rmvs_getacch_tp(self, system, param, t, xhp) + module subroutine rmvs_getacch_tp(self, system, param, t, lbeg) use swiftest_classes, only : swiftest_nbody_system, swiftest_parameters implicit none class(rmvs_tp), intent(inout) :: self !! RMVS test particle data structure class(swiftest_nbody_system), intent(inout) :: system !! Swiftest central body particle data structuree class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters real(DP), intent(in) :: t !! Current time - real(DP), dimension(:,:), intent(in) :: xhp !! Heliocentric positions of planets at current substep + logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the step end subroutine rmvs_getacch_tp module subroutine rmvs_setup_pl(self,n) @@ -145,12 +143,6 @@ module subroutine rmvs_setup_pl(self,n) integer, intent(in) :: n !! Number of test particles to allocate end subroutine rmvs_setup_pl - module subroutine rmvs_setup_set_beg_end(self, xbeg, xend, vbeg) - implicit none - class(rmvs_nbody_system), intent(inout) :: self !! RMVS nbody system object - real(DP), dimension(:,:), intent(in), optional :: xbeg, xend, vbeg - end subroutine rmvs_setup_set_beg_end - module subroutine rmvs_setup_system(self, param) use swiftest_classes, only : swiftest_parameters implicit none diff --git a/src/modules/swiftest_classes.f90 b/src/modules/swiftest_classes.f90 index ad0a17598..3d1cba23d 100644 --- a/src/modules/swiftest_classes.f90 +++ b/src/modules/swiftest_classes.f90 @@ -9,18 +9,18 @@ module swiftest_classes public :: discard_pl, discard_system, discard_tp public :: drift_one public :: eucl_dist_index_plpl, eucl_dist_index_pltp, eucl_irij3_plpl - public :: kick_vb_body, kick_vh_body public :: io_dump_param, io_dump_swiftest, io_dump_system, io_get_args, io_param_reader, io_param_writer, io_read_body_in, & io_read_cb_in, io_read_param_in, io_read_frame_body, io_read_frame_cb, io_read_frame_system, io_read_initialize_system, & io_write_discard, io_write_encounter, io_write_frame_body, io_write_frame_cb, io_write_frame_system - public :: obl_acc_body + public :: kickvh_body + public :: obl_acc_body, obl_acc_pl, obl_acc_tp public :: orbel_el2xv_vec, orbel_xv2el_vec, orbel_scget, orbel_xv2aeq, orbel_xv2aqt - public :: setup_body, setup_construct_system, setup_pl, setup_set_ir3h, setup_set_msys, setup_set_mu_pl, setup_set_mu_tp, & - setup_set_rhill, setup_tp + public :: setup_body, setup_construct_system, setup_pl, setup_tp public :: user_getacch_body public :: util_coord_b2h_pl, util_coord_b2h_tp, util_coord_h2b_pl, util_coord_h2b_tp, util_copy_body, util_copy_cb, util_copy_pl, & - util_copy_tp, util_copy_system, util_fill_body, util_fill_pl, util_fill_tp, util_reverse_status, util_spill_body, & - util_spill_pl, util_spill_tp + util_copy_tp, util_copy_system, util_fill_body, util_fill_pl, util_fill_tp, util_reverse_status, util_set_beg_end_cb, & + util_set_beg_end_pl, util_set_ir3h, util_set_msys, util_set_mu_pl, util_set_mu_tp, util_set_rhill, & + util_spill_body, util_spill_pl, util_spill_tp !******************************************************************************************************************************** ! swiftest_parameters class definitions @@ -115,6 +115,8 @@ module swiftest_classes real(DP) :: j2rp2 = 0.0_DP !! J2*R^2 term for central body real(DP) :: j4rp4 = 0.0_DP !! J4*R^2 term for central body real(DP), dimension(NDIM) :: aobl = 0.0_DP !! Barycentric acceleration due to central body oblatenes + real(DP), dimension(NDIM) :: aoblbeg = 0.0_DP !! Barycentric acceleration due to central body oblatenes at beginning of step + real(DP), dimension(NDIM) :: aoblend = 0.0_DP !! Barycentric acceleration due to central body oblatenes at end of step real(DP), dimension(NDIM) :: xb = 0.0_DP !! Barycentric position (units DU) real(DP), dimension(NDIM) :: vb = 0.0_DP !! Barycentric velocity (units DU / TU) real(DP), dimension(NDIM) :: Ip = 0.0_DP !! Unitless principal moments of inertia (I1, I2, I3) / (MR**2). Principal axis rotation assumed. @@ -123,10 +125,11 @@ module swiftest_classes real(DP) :: Q = 0.0_DP !! Tidal quality factor contains private - procedure, public :: initialize => io_read_cb_in !! I/O routine for reading in central body data - procedure, public :: write_frame => io_write_frame_cb !! I/O routine for writing out a single frame of time-series data for the central body - procedure, public :: read_frame => io_read_frame_cb !! I/O routine for reading out a single frame of time-series data for the central body - procedure, public :: copy => util_copy_cb !! Copies elements of one object to another. + procedure, public :: initialize => io_read_cb_in !! I/O routine for reading in central body data + procedure, public :: write_frame => io_write_frame_cb !! I/O routine for writing out a single frame of time-series data for the central body + procedure, public :: read_frame => io_read_frame_cb !! I/O routine for reading out a single frame of time-series data for the central body + procedure, public :: copy => util_copy_cb !! Copies elements of one object to another. + procedure, public :: set_beg_end => util_set_beg_end_cb !! Sets the beginning and ending oblateness acceleration term end type swiftest_cb !******************************************************************************************************************************** @@ -135,6 +138,7 @@ module swiftest_classes !> An abstract class for a generic collection of Swiftest bodies type, abstract, public, extends(swiftest_base) :: swiftest_body !! Superclass that defines the generic elements of a Swiftest particle + logical :: lfirst = .true. !! Run the current step as a first integer(I4B) :: nbody = 0 !! Number of bodies integer(I4B), dimension(:), allocatable :: name !! External identifier integer(I4B), dimension(:), allocatable :: status !! An integrator-specific status indicator @@ -160,18 +164,18 @@ module swiftest_classes procedure(abstract_discard_body), public, deferred :: discard procedure(abstract_set_mu), public, deferred :: set_mu procedure(abstract_step_body), public, deferred :: step + procedure(abstract_accel), public, deferred :: accel ! These are concrete because the implementation is the same for all types of particles procedure, public :: initialize => io_read_body_in !! Read in body initial conditions from a file procedure, public :: read_frame => io_read_frame_body !! I/O routine for writing out a single frame of time-series data for the central body procedure, public :: write_frame => io_write_frame_body !! I/O routine for writing out a single frame of time-series data for the central body - procedure, public :: kickvb => kick_vb_body !! Kicks the barycentric velocities - procedure, public :: kickvh => kick_vh_body !! Kicks the heliocentric velocities - procedure, public :: obl_acc => obl_acc_body !! Compute the barycentric accelerations of bodies due to the oblateness of the central body + procedure, public :: kick => kickvh_body !! Kicks the heliocentric velocities + procedure, public :: accel_obl => obl_acc_body !! Compute the barycentric accelerations of bodies due to the oblateness of the central body procedure, public :: el2xv => orbel_el2xv_vec !! Convert orbital elements to position and velocity vectors procedure, public :: xv2el => orbel_xv2el_vec !! Convert position and velocity vectors to orbital elements - procedure, public :: set_ir3 => setup_set_ir3h !! Sets the inverse heliocentric radius term (1/rh**3) + procedure, public :: set_ir3 => util_set_ir3h !! Sets the inverse heliocentric radius term (1/rh**3) procedure, public :: setup => setup_body !! A constructor that sets the number of bodies and allocates all allocatable arrays - procedure, public :: user_getacch => user_getacch_body !! Base user-defined acceleration subroutine + procedure, public :: accel_user => user_getacch_body !! Add user-supplied heliocentric accelerations to planets procedure, public :: copy => util_copy_body !! Copies elements of one object to another. procedure, public :: fill => util_fill_body !! "Fills" bodies from one object into another depending on the results of a mask (uses the MERGE intrinsic) procedure, public :: spill => util_spill_body !! "Spills" bodies from one object to another depending on the results of a mask (uses the PACK intrinsic) @@ -198,23 +202,28 @@ module swiftest_classes integer(I4B), dimension(:,:), allocatable :: k_eucl !! Index array that converts i, j array indices into k index for use in !! the Euclidean distance matrix real(DP), dimension(:), allocatable :: irij3 !! 1.0_DP / (rji2 * sqrt(rji2)) where rji2 is the square of the Euclidean distance + real(DP), dimension(:,:), allocatable :: xbeg !! Position at beginning of step + real(DP), dimension(:,:), allocatable :: xend !! Position at end of step + real(DP), dimension(:,:), allocatable :: vbeg !! Velocity at beginning of step !! Note to developers: If you add components to this class, be sure to update methods and subroutines that traverse the !! component list, such as setup_pl and util_spill_pl contains private ! Massive body-specific concrete methods ! These are concrete because they are the same implemenation for all integrators - procedure, public :: discard => discard_pl !! Placeholder method for discarding massive bodies - procedure, public :: eucl_index => eucl_dist_index_plpl !! Sets up the (i, j) -> k indexing used for the single-loop blocking Euclidean distance matrix - procedure, public :: eucl_irij3 => eucl_irij3_plpl !! Parallelized single loop blocking for Euclidean distance matrix calcualtion - procedure, public :: setup => setup_pl !! A base constructor that sets the number of bodies and allocates and initializes all arrays - procedure, public :: set_mu => setup_set_mu_pl !! Method used to construct the vectorized form of the central body mass - procedure, public :: set_rhill => setup_set_rhill !! Calculates the Hill's radii for each body - procedure, public :: h2b => util_coord_h2b_pl !! Convert massive bodies from heliocentric to barycentric coordinates (position and velocity) - procedure, public :: b2h => util_coord_b2h_pl !! Convert massive bodies from barycentric to heliocentric coordinates (position and velocity) - procedure, public :: copy => util_copy_pl !! Copies elements of one object to another. - procedure, public :: fill => util_fill_pl !! "Fills" bodies from one object into another depending on the results of a mask (uses the MERGE intrinsic) - procedure, public :: spill => util_spill_pl !! "Spills" bodies from one object to another depending on the results of a mask (uses the PACK intrinsic) + procedure, public :: discard => discard_pl !! Placeholder method for discarding massive bodies + procedure, public :: eucl_index => eucl_dist_index_plpl !! Sets up the (i, j) -> k indexing used for the single-loop blocking Euclidean distance matrix + procedure, public :: eucl_irij3 => eucl_irij3_plpl !! Parallelized single loop blocking for Euclidean distance matrix calcualtion + procedure, public :: accel_obl => obl_acc_pl !! Compute the barycentric accelerations of bodies due to the oblateness of the central body + procedure, public :: setup => setup_pl !! A base constructor that sets the number of bodies and allocates and initializes all arrays + procedure, public :: set_mu => util_set_mu_pl !! Method used to construct the vectorized form of the central body mass + procedure, public :: set_rhill => util_set_rhill !! Calculates the Hill's radii for each body + procedure, public :: h2b => util_coord_h2b_pl !! Convert massive bodies from heliocentric to barycentric coordinates (position and velocity) + procedure, public :: b2h => util_coord_b2h_pl !! Convert massive bodies from barycentric to heliocentric coordinates (position and velocity) + procedure, public :: copy => util_copy_pl !! Copies elements of one object to another. + procedure, public :: fill => util_fill_pl !! "Fills" bodies from one object into another depending on the results of a mask (uses the MERGE intrinsic) + procedure, public :: set_beg_end => util_set_beg_end_pl !! Sets the beginning and ending positions and velocities of planets. + procedure, public :: spill => util_spill_pl !! "Spills" bodies from one object to another depending on the results of a mask (uses the PACK intrinsic) end type swiftest_pl !******************************************************************************************************************************** @@ -233,15 +242,16 @@ module swiftest_classes private ! Test particle-specific concrete methods ! These are concrete because they are the same implemenation for all integrators - procedure, public :: discard => discard_tp !! Check to see if test particles should be discarded based on their positions relative to the massive bodies - procedure, public :: eucl_index => eucl_dist_index_pltp !! Sets up the (i, j) -> k indexing used for the single-loop blocking Euclidean distance matrix - procedure, public :: setup => setup_tp !! A base constructor that sets the number of bodies and - procedure, public :: set_mu => setup_set_mu_tp !! Method used to construct the vectorized form of the central body mass - procedure, public :: h2b => util_coord_h2b_tp !! Convert test particles from heliocentric to barycentric coordinates (position and velocity) - procedure, public :: b2h => util_coord_b2h_tp !! Convert test particles from barycentric to heliocentric coordinates (position and velocity) - procedure, public :: copy => util_copy_tp !! Copies elements of one object to another. - procedure, public :: fill => util_fill_tp !! "Fills" bodies from one object into another depending on the results of a mask (uses the MERGE intrinsic) - procedure, public :: spill => util_spill_tp !! "Spills" bodies from one object to another depending on the results of a mask (uses the PACK intrinsic) + procedure, public :: discard => discard_tp !! Check to see if test particles should be discarded based on their positions relative to the massive bodies + procedure, public :: eucl_index => eucl_dist_index_pltp !! Sets up the (i, j) -> k indexing used for the single-loop blocking Euclidean distance matrix + procedure, public :: accel_obl => obl_acc_tp !! Compute the barycentric accelerations of bodies due to the oblateness of the central body + procedure, public :: setup => setup_tp !! A base constructor that sets the number of bodies and + procedure, public :: set_mu => util_set_mu_tp !! Method used to construct the vectorized form of the central body mass + procedure, public :: h2b => util_coord_h2b_tp !! Convert test particles from heliocentric to barycentric coordinates (position and velocity) + procedure, public :: b2h => util_coord_b2h_tp !! Convert test particles from barycentric to heliocentric coordinates (position and velocity) + procedure, public :: copy => util_copy_tp !! Copies elements of one object to another. + procedure, public :: fill => util_fill_tp !! "Fills" bodies from one object into another depending on the results of a mask (uses the MERGE intrinsic) + procedure, public :: spill => util_spill_tp !! "Spills" bodies from one object to another depending on the results of a mask (uses the PACK intrinsic) end type swiftest_tp !******************************************************************************************************************************** @@ -250,15 +260,18 @@ module swiftest_classes !> An abstract class for a basic Swiftest nbody system type, abstract, public, extends(swiftest_base) :: swiftest_nbody_system !! This superclass contains a minimial system of a set of test particles (tp), massive bodies (pl), and a central body (cb) - class(swiftest_cb), allocatable :: cb !! Central body data structure - class(swiftest_pl), allocatable :: pl !! Massive body data structure - class(swiftest_tp), allocatable :: tp !! Test particle data structure - class(swiftest_tp), allocatable :: tp_discards !! Discarded test particle data structure - real(DP) :: msys = 0.0_DP !! Total system mass - used for barycentric coordinate conversion - real(DP) :: ke = 0.0_DP !! System kinetic energy - real(DP) :: pe = 0.0_DP !! System potential energy - real(DP) :: te = 0.0_DP !! System total energy - real(DP), dimension(NDIM) :: htot = 0.0_DP !! System angular momentum vector + class(swiftest_cb), allocatable :: cb !! Central body data structure + class(swiftest_pl), allocatable :: pl !! Massive body data structure + class(swiftest_tp), allocatable :: tp !! Test particle data structure + class(swiftest_tp), allocatable :: tp_discards !! Discarded test particle data structure + real(DP) :: msys = 0.0_DP !! Total system mass - used for barycentric coordinate conversion + real(DP) :: ke = 0.0_DP !! System kinetic energy + real(DP) :: pe = 0.0_DP !! System potential energy + real(DP) :: te = 0.0_DP !! System total energy + real(DP), dimension(NDIM) :: htot = 0.0_DP !! System angular momentum vector + logical :: lbeg !! True if this is the beginning of a step. This is used so that test particle steps can be calculated + !! separately from massive bodies. Massive body variables are saved at half steps, and passed to + !! the test particles contains private !> Each integrator will have its own version of the step @@ -269,7 +282,7 @@ module swiftest_classes procedure, public :: dump => io_dump_system !! Dump the state of the system to a file procedure, public :: initialize => io_read_initialize_system !! Initialize the system from an input file procedure, public :: read_frame => io_read_frame_system !! Append a frame of output data to file - procedure, public :: set_msys => setup_set_msys !! Sets the value of msys from the masses of system bodies. + procedure, public :: set_msys => util_set_msys !! Sets the value of msys from the masses of system bodies. procedure, public :: write_discard => io_write_discard !! Append a frame of output data to file procedure, public :: write_frame => io_write_frame_system !! Append a frame of output data to file procedure, public :: copy => util_copy_system !! Copies elements of one object to another. @@ -285,39 +298,48 @@ end subroutine abstract_copy subroutine abstract_discard_body(self, system, param) import swiftest_body, swiftest_nbody_system, swiftest_parameters - class(swiftest_body), intent(inout) :: self !! Swiftest particle object + class(swiftest_body), intent(inout) :: self !! Swiftest body object class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters end subroutine abstract_discard_body + subroutine abstract_accel(self, system, param, t, lbeg) + import swiftest_body, swiftest_nbody_system, swiftest_parameters, DP + class(swiftest_body), intent(inout) :: self !! Swiftest body data structure + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object + class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of + real(DP), intent(in) :: t !! Current simulation time + logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the step + end subroutine abstract_accel + subroutine abstract_initialize(self, param) import swiftest_base, swiftest_parameters class(swiftest_base), intent(inout) :: self !! Swiftest base object - class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters + class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters end subroutine abstract_initialize subroutine abstract_read_frame(self, iu, param, form, ierr) import DP, I4B, swiftest_base, swiftest_parameters - class(swiftest_base), intent(inout) :: self !! Swiftest base object - integer(I4B), intent(inout) :: iu !! Unit number for the output file to write frame to - class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters - character(*), intent(in) :: form !! Input format code ("XV" or "EL") - integer(I4B), intent(out) :: ierr !! Error code + class(swiftest_base), intent(inout) :: self !! Swiftest base object + integer(I4B), intent(inout) :: iu !! Unit number for the output file to write frame to + class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters + character(*), intent(in) :: form !! Input format code ("XV" or "EL") + integer(I4B), intent(out) :: ierr !! Error code end subroutine abstract_read_frame subroutine abstract_set_mu(self, cb) import swiftest_body, swiftest_cb - class(swiftest_body), intent(inout) :: self !! Swiftest particle object + class(swiftest_body), intent(inout) :: self !! Swiftest body object class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object end subroutine abstract_set_mu subroutine abstract_step_body(self, system, param, t, dt) import DP, swiftest_body, swiftest_nbody_system, swiftest_parameters implicit none - class(swiftest_body), intent(inout) :: self !! Swiftest particle object + class(swiftest_body), intent(inout) :: self !! Swiftest body object class(swiftest_nbody_system), intent(inout) :: system !! Swiftest system object class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters - real(DP), intent(in) :: t !! Simulation time + real(DP), intent(in) :: t !! Simulation time real(DP), intent(in) :: dt !! Current stepsize end subroutine abstract_step_body @@ -383,18 +405,6 @@ module subroutine eucl_irij3_plpl(self) class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object end subroutine eucl_irij3_plpl - module subroutine kick_vb_body(self, dt) - implicit none - class(swiftest_body), intent(inout) :: self !! Swiftest generic body object - real(DP), intent(in) :: dt !! Stepsize - end subroutine kick_vb_body - - module subroutine kick_vh_body(self, dt) - implicit none - class(swiftest_body), intent(inout) :: self !! Swiftest generic body object - real(DP), intent(in) :: dt !! Stepsize - end subroutine kick_vh_body - module subroutine io_dump_param(self, param_file_name) implicit none class(swiftest_parameters),intent(in) :: self !! Output collection of parameters @@ -446,7 +456,7 @@ end subroutine io_param_writer module subroutine io_read_body_in(self, param) implicit none - class(swiftest_body), intent(inout) :: self !! Swiftest particle object + class(swiftest_body), intent(inout) :: self !! Swiftest body object class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters end subroutine io_read_body_in @@ -458,48 +468,47 @@ end subroutine io_read_cb_in module subroutine io_read_param_in(self, param_file_name) implicit none - class(swiftest_parameters), intent(out) :: self !! Current run configuration parameters + class(swiftest_parameters), intent(out) :: self !! Current run configuration parameters character(len=*), intent(in) :: param_file_name !! Parameter input file name (i.e. param.in) end subroutine io_read_param_in module subroutine io_read_frame_body(self, iu, param, form, ierr) implicit none - class(swiftest_body), intent(inout) :: self !! Swiftest particle object - integer(I4B), intent(inout) :: iu !! Unit number for the output file to write frame to + class(swiftest_body), intent(inout) :: self !! Swiftest body object + integer(I4B), intent(inout) :: iu !! Unit number for the output file to write frame to class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters - character(*), intent(in) :: form !! Input format code ("XV" or "EL") - integer(I4B), intent(out) :: ierr !! Error code + character(*), intent(in) :: form !! Input format code ("XV" or "EL") + integer(I4B), intent(out) :: ierr !! Error code end subroutine io_read_frame_body module subroutine io_read_frame_cb(self, iu, param, form, ierr) implicit none - class(swiftest_cb), intent(inout) :: self !! Swiftest central body object - integer(I4B), intent(inout) :: iu !! Unit number for the output file to write frame to + class(swiftest_cb), intent(inout) :: self !! Swiftest central body object + integer(I4B), intent(inout) :: iu !! Unit number for the output file to write frame to class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters - character(*), intent(in) :: form !! Input format code ("XV" or "EL") - integer(I4B), intent(out) :: ierr !! Error code + character(*), intent(in) :: form !! Input format code ("XV" or "EL") + integer(I4B), intent(out) :: ierr !! Error code end subroutine io_read_frame_cb module subroutine io_read_frame_system(self, iu, param, form, ierr) implicit none - class(swiftest_nbody_system),intent(inout) :: self !! Swiftest system object - integer(I4B), intent(inout) :: iu !! Unit number for the output file to write frame to + class(swiftest_nbody_system),intent(inout) :: self !! Swiftest system object + integer(I4B), intent(inout) :: iu !! Unit number for the output file to write frame to class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters - character(*), intent(in) :: form !! Input format code ("XV" or "EL") - integer(I4B), intent(out) :: ierr !! Error code + character(*), intent(in) :: form !! Input format code ("XV" or "EL") + integer(I4B), intent(out) :: ierr !! Error code end subroutine io_read_frame_system module subroutine io_read_initialize_system(self, param) implicit none - class(swiftest_nbody_system), intent(inout) :: self !! Swiftest system object - class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters + class(swiftest_nbody_system), intent(inout) :: self !! Swiftest system object + class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters end subroutine io_read_initialize_system module subroutine io_write_discard(self, param) implicit none - class(swiftest_nbody_system), intent(inout) :: self !! Swiftest system object - class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters - !class(swiftest_body), intent(inout) :: discards !! Swiftest discard object + class(swiftest_nbody_system), intent(inout) :: self !! Swiftest system object + class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters end subroutine io_write_discard module subroutine io_write_encounter(t, name1, name2, mass1, mass2, radius1, radius2, & @@ -513,34 +522,52 @@ end subroutine io_write_encounter module subroutine io_write_frame_body(self, iu, param) implicit none - class(swiftest_body), intent(in) :: self !! Swiftest particle object - integer(I4B), intent(inout) :: iu !! Unit number for the output file to write frame to + class(swiftest_body), intent(in) :: self !! Swiftest body object + integer(I4B), intent(inout) :: iu !! Unit number for the output file to write frame to class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters end subroutine io_write_frame_body module subroutine io_write_frame_cb(self, iu, param) implicit none - class(swiftest_cb), intent(in) :: self !! Swiftest central body object - integer(I4B), intent(inout) :: iu !! Unit number for the output file to write frame to + class(swiftest_cb), intent(in) :: self !! Swiftest central body object + integer(I4B), intent(inout) :: iu !! Unit number for the output file to write frame to class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters end subroutine io_write_frame_cb module subroutine io_write_frame_system(self, iu, param) implicit none - class(swiftest_nbody_system), intent(in) :: self !! Swiftest system object - integer(I4B), intent(inout) :: iu !! Unit number for the output file to write frame to + class(swiftest_nbody_system), intent(in) :: self !! Swiftest system object + integer(I4B), intent(inout) :: iu !! Unit number for the output file to write frame to class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters end subroutine io_write_frame_system - module subroutine obl_acc_body(self, cb) + module subroutine kickvh_body(self, dt) implicit none - class(swiftest_body), intent(inout) :: self !! Swiftest generic body object - class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object + class(swiftest_body), intent(inout) :: self !! Swiftest body object + real(DP), intent(in) :: dt !! Stepsize + end subroutine kickvh_body + + module subroutine obl_acc_body(self, system) + implicit none + class(swiftest_body), intent(inout) :: self !! Swiftest body object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object end subroutine obl_acc_body + module subroutine obl_acc_pl(self, system) + implicit none + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object + end subroutine obl_acc_pl + + module subroutine obl_acc_tp(self, system) + implicit none + class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object + end subroutine obl_acc_tp + module subroutine orbel_el2xv_vec(self, cb) implicit none - class(swiftest_body), intent(inout) :: self !! Swiftest generic body object + class(swiftest_body), intent(inout) :: self !! Swiftest body object class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object end subroutine orbel_el2xv_vec @@ -566,174 +593,190 @@ end subroutine orbel_xv2aqt module subroutine orbel_xv2el_vec(self, cb) implicit none - class(swiftest_body), intent(inout) :: self !! Swiftest generic body object - class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object + class(swiftest_body), intent(inout) :: self !! Swiftest body object + class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object end subroutine orbel_xv2el_vec module subroutine setup_body(self,n) implicit none - class(swiftest_body), intent(inout) :: self !! Swiftest generic body object - integer, intent(in) :: n !! Number of particles to allocate space for + class(swiftest_body), intent(inout) :: self !! Swiftest body object + integer, intent(in) :: n !! Number of particles to allocate space for end subroutine setup_body module subroutine setup_construct_system(system, param) implicit none - class(swiftest_nbody_system), allocatable, intent(inout) :: system !! Swiftest system object - type(swiftest_parameters), intent(in) :: param !! Swiftest parameters + class(swiftest_nbody_system), allocatable, intent(inout) :: system !! Swiftest system object + type(swiftest_parameters), intent(in) :: param !! Swiftest parameters end subroutine setup_construct_system module subroutine setup_pl(self,n) implicit none - class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object - integer, intent(in) :: n !! Number of massive bodies to allocate space for + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + integer, intent(in) :: n !! Number of massive bodies to allocate space for end subroutine setup_pl - module subroutine setup_set_ir3h(self) + module subroutine util_set_ir3h(self) implicit none - class(swiftest_body), intent(inout) :: self !! Swiftest generic body object - end subroutine setup_set_ir3h + class(swiftest_body), intent(inout) :: self !! Swiftest body object + end subroutine util_set_ir3h - module subroutine setup_set_msys(self) + module subroutine util_set_msys(self) implicit none - class(swiftest_nbody_system), intent(inout) :: self !! Swiftest system object - end subroutine setup_set_msys + class(swiftest_nbody_system), intent(inout) :: self !! Swiftest system object + end subroutine util_set_msys - module subroutine setup_set_mu_pl(self, cb) + module subroutine util_set_mu_pl(self, cb) implicit none - class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object - class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object - end subroutine setup_set_mu_pl + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object + end subroutine util_set_mu_pl - module subroutine setup_set_mu_tp(self, cb) + module subroutine util_set_mu_tp(self, cb) implicit none - class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object - class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object - end subroutine setup_set_mu_tp + class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object + class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object + end subroutine util_set_mu_tp - module subroutine setup_set_rhill(self,cb) + module subroutine util_set_rhill(self,cb) implicit none - class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object - class(swiftest_cb), intent(inout) :: cb !! Swiftest massive body object - end subroutine setup_set_rhill + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + class(swiftest_cb), intent(inout) :: cb !! Swiftest massive body object + end subroutine util_set_rhill module subroutine setup_tp(self, n) implicit none - class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object - integer, intent(in) :: n !! Number of bodies to allocate space for + class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object + integer, intent(in) :: n !! Number of bodies to allocate space for end subroutine setup_tp - module subroutine user_getacch_body(self, system, param, t) + module subroutine user_getacch_body(self, system, param, t, lbeg) implicit none class(swiftest_body), intent(inout) :: self !! Swiftest massive body particle data structure - class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nobody system object - class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody_system_object + class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of user parameters real(DP), intent(in) :: t !! Current time + logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the step end subroutine user_getacch_body module subroutine util_coord_b2h_pl(self, cb) implicit none - class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object - class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object end subroutine util_coord_b2h_pl module subroutine util_coord_b2h_tp(self, cb) implicit none - class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object - class(swiftest_cb), intent(in) :: cb !! Swiftest central body object + class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object + class(swiftest_cb), intent(in) :: cb !! Swiftest central body object end subroutine util_coord_b2h_tp module subroutine util_coord_h2b_pl(self, cb) implicit none - class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object - class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object end subroutine util_coord_h2b_pl module subroutine util_coord_h2b_tp(self, cb) implicit none - class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object - class(swiftest_cb), intent(in) :: cb !! Swiftest central body object + class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object + class(swiftest_cb), intent(in) :: cb !! Swiftest central body object end subroutine util_coord_h2b_tp module subroutine util_copy_body(self, src, mask) implicit none - class(swiftest_body), intent(inout) :: self - class(swiftest_base), intent(in) :: src - logical, dimension(:), intent(in) :: mask + class(swiftest_body), intent(inout) :: self !! Swiftest body object to copy into + class(swiftest_base), intent(in) :: src !! Swiftest base object to copy from + logical, dimension(:), intent(in) :: mask !! Mask of elements in src object to copy into self end subroutine util_copy_body module subroutine util_copy_cb(self, src, mask) implicit none - class(swiftest_cb), intent(inout) :: self - class(swiftest_base), intent(in) :: src - logical, dimension(:), intent(in) :: mask + class(swiftest_cb), intent(inout) :: self !! Swiftest central body object to copy into + class(swiftest_base), intent(in) :: src !! Swiftest base object to copy from + logical, dimension(:), intent(in) :: mask !! Mask of elements in src object to copy into selfk end subroutine util_copy_cb module subroutine util_copy_pl(self, src, mask) implicit none - class(swiftest_pl), intent(inout) :: self - class(swiftest_base), intent(in) :: src - logical, dimension(:), intent(in) :: mask + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object to copy into + class(swiftest_base), intent(in) :: src !! Swiftest base object to copy from + logical, dimension(:), intent(in) :: mask !! Mask of elements in src object to copy into self end subroutine util_copy_pl module subroutine util_copy_tp(self, src, mask) implicit none - class(swiftest_tp), intent(inout) :: self - class(swiftest_base), intent(in) :: src - logical, dimension(:), intent(in) :: mask + class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object to copy into + class(swiftest_base), intent(in) :: src !! Swiftest base object to copy from + logical, dimension(:), intent(in) :: mask !! Mask of elements in src object to copy into self end subroutine util_copy_tp module subroutine util_copy_system(self, src, mask) implicit none - class(swiftest_nbody_system), intent(inout) :: self - class(swiftest_base), intent(in) :: src - logical, dimension(:), intent(in) :: mask + class(swiftest_nbody_system), intent(inout) :: self !! Swiftest nbody system object to copy into + class(swiftest_base), intent(in) :: src !! Swiftest base object to copy from + logical, dimension(:), intent(in) :: mask !! Mask of elements in src object to copy into self end subroutine util_copy_system module subroutine util_fill_body(self, inserts, lfill_list) implicit none - class(swiftest_body), intent(inout) :: self !! Swiftest generic body object - class(swiftest_body), intent(inout) :: inserts !! Insertted object - logical, dimension(:), intent(in) :: lfill_list !! Logical array of bodies to merge into the keeps + class(swiftest_body), intent(inout) :: self !! Swiftest body object + class(swiftest_body), intent(inout) :: inserts !! Swiftest body object to be inserted + logical, dimension(:), intent(in) :: lfill_list !! Logical array of bodies to merge into the keeps end subroutine util_fill_body module subroutine util_fill_pl(self, inserts, lfill_list) implicit none - class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object - class(swiftest_body), intent(inout) :: inserts !! Inserted object + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + class(swiftest_body), intent(inout) :: inserts !! Swiftest body object to be inserted logical, dimension(:), intent(in) :: lfill_list !! Logical array of bodies to merge into the keeps end subroutine util_fill_pl module subroutine util_fill_tp(self, inserts, lfill_list) implicit none - class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object - class(swiftest_body), intent(inout) :: inserts !! Inserted object + class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object + class(swiftest_body), intent(inout) :: inserts !! Swiftest body object to be inserted logical, dimension(:), intent(in) :: lfill_list !! Logical array of bodies to merge into the keeps end subroutine util_fill_tp module subroutine util_reverse_status(self) implicit none - class(swiftest_body), intent(inout) :: self + class(swiftest_body), intent(inout) :: self !! Swiftest body object end subroutine util_reverse_status + module subroutine util_set_beg_end_cb(self, aoblbeg, aoblend) + implicit none + class(swiftest_cb), intent(inout) :: self !! Swiftest central body object + real(DP), dimension(:), intent(in), optional :: aoblbeg !! Oblateness acceleration term at beginning of step + real(DP), dimension(:), intent(in), optional :: aoblend !! Oblateness acceleration term at end of step + end subroutine util_set_beg_end_cb + + module subroutine util_set_beg_end_pl(self, xbeg, xend, vbeg) + implicit none + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + real(DP), dimension(:,:), intent(in), optional :: xbeg !! Position vectors at beginning of step + real(DP), dimension(:,:), intent(in), optional :: xend !! Positions vectors at end of step + real(DP), dimension(:,:), intent(in), optional :: vbeg !! vbeg is an unused variable to keep this method forward compatible with RMVS + end subroutine util_set_beg_end_pl + module subroutine util_spill_body(self, discards, lspill_list) implicit none - class(swiftest_body), intent(inout) :: self !! Swiftest generic body object + class(swiftest_body), intent(inout) :: self !! Swiftest body object class(swiftest_body), intent(inout) :: discards !! Discarded object logical, dimension(:), intent(in) :: lspill_list !! Logical array of bodies to spill into the discards end subroutine util_spill_body module subroutine util_spill_pl(self, discards, lspill_list) implicit none - class(swiftest_pl), intent(inout) :: self !! Swiftest massive body body object + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object class(swiftest_body), intent(inout) :: discards !! Discarded object logical, dimension(:), intent(in) :: lspill_list !! Logical array of bodies to spill into the discards end subroutine util_spill_pl module subroutine util_spill_tp(self, discards, lspill_list) implicit none - class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object - class(swiftest_body), intent(inout) :: discards !! Discarded object - logical, dimension(:), intent(in) :: lspill_list !! Logical array of bodies to spill into the discards + class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object + class(swiftest_body), intent(inout) :: discards !! Discarded object + logical, dimension(:), intent(in) :: lspill_list !! Logical array of bodies to spill into the discards end subroutine util_spill_tp end interface diff --git a/src/modules/symba.f90 b/src/modules/symba.f90 index 82ff837a1..209322ee1 100644 --- a/src/modules/symba.f90 +++ b/src/modules/symba.f90 @@ -527,14 +527,14 @@ module subroutine symba_step_helio(lfirst, lextra_force, t, npl, nplm, param%npl end subroutine symba_step_helio module subroutine symba_step_helio_pl(lfirst, lextra_force, t, npl, nplm, param%nplmax, helio_plA, param%j2rp2, param%j4rp4, dt, xbeg, xend, & - ptb, pte) + ptbeg, ptend) implicit none logical , intent(in) :: lextra_force logical , intent(inout) :: lfirst integer(I4B), intent(in) :: npl, nplm, param%nplmax real(DP), intent(in) :: t, param%j2rp2, param%j4rp4, dt real(DP), dimension(npl, NDIMm), intent(out) :: xbeg, xend - real(DP), dimension(NDIM), intent(out) :: ptb, pte + real(DP), dimension(NDIM), intent(out) :: ptbeg, ptend type(helio_pl), intent(inout) :: helio_plA end subroutine symba_step_helio_pl diff --git a/src/modules/whm_classes.f90 b/src/modules/whm_classes.f90 index 1707ef875..b0f176a0a 100644 --- a/src/modules/whm_classes.f90 +++ b/src/modules/whm_classes.f90 @@ -5,11 +5,9 @@ module whm_classes !! Partially adapted from David E. Kaufmann's Swifter module: module_whm.f90 use swiftest_globals use swiftest_classes, only : swiftest_cb, swiftest_pl, swiftest_tp, swiftest_nbody_system - implicit none public - !******************************************************************************************************************************** ! whm_cb class definitions and method interfaces !******************************************************************************************************************************* @@ -31,23 +29,22 @@ module whm_classes real(DP), dimension(:), allocatable :: ir3j !! Third term of heliocentric acceleration !! Note to developers: If you add componenets to this class, be sure to update methods and subroutines that traverse the !! component list, such as whm_setup_pl and whm_spill_pl - logical :: lfirst = .true. contains - procedure, public :: h2j => whm_coord_h2j_pl !! Convert position and velcoity vectors from heliocentric to Jacobi coordinates - procedure, public :: j2h => whm_coord_j2h_pl !! Convert position and velcoity vectors from Jacobi to helliocentric coordinates - procedure, public :: vh2vj => whm_coord_vh2vj_pl !! Convert velocity vectors from heliocentric to Jacobi coordinates - procedure, public :: drift => whm_drift_pl !! Loop through massive bodies and call Danby drift routine - procedure, public :: getacch => whm_getacch_pl !! Compute heliocentric accelerations of massive bodies - procedure, public :: fill => whm_fill_pl !! "Fills" bodies from one object into another depending on the results of a mask (uses the MERGE intrinsic) - procedure, public :: gr_getacch => whm_gr_getacch_pl !! Acceleration term arising from the post-Newtonian correction - procedure, public :: gr_p4 => whm_gr_p4_pl !! Position kick due to p**4 term in the post-Newtonian correction - procedure, public :: gr_vh2pv => whm_gr_vh2pv_pl !! Converts from heliocentric velocity to psudeovelocity for GR calculations - procedure, public :: gr_pv2vh => whm_gr_pv2vh_pl !! Converts from psudeovelocity to heliocentric velocity for GR calculations - procedure, public :: setup => whm_setup_pl !! Constructor method - Allocates space for number of particles - procedure, public :: set_mu => whm_setup_set_mu_eta_pl !! Sets the Jacobi mass value for all massive bodies. - procedure, public :: set_ir3 => whm_setup_set_ir3j !! Sets both the heliocentric and jacobi inverse radius terms (1/rj**3 and 1/rh**3) - procedure, public :: step => whm_step_pl !! Steps the body forward one stepsize - procedure, public :: spill => whm_spill_pl !!"Spills" bodies from one object to another depending on the results of a mask (uses the PACK intrinsic) + procedure, public :: h2j => whm_coord_h2j_pl !! Convert position and velcoity vectors from heliocentric to Jacobi coordinates + procedure, public :: j2h => whm_coord_j2h_pl !! Convert position and velcoity vectors from Jacobi to helliocentric coordinates + procedure, public :: vh2vj => whm_coord_vh2vj_pl !! Convert velocity vectors from heliocentric to Jacobi coordinates + procedure, public :: drift => whm_drift_pl !! Loop through massive bodies and call Danby drift routine + procedure, public :: fill => whm_fill_pl !! "Fills" bodies from one object into another depending on the results of a mask (uses the MERGE intrinsic) + procedure, public :: accel => whm_getacch_pl !! Compute heliocentric accelerations of massive bodies + procedure, public :: accel_gr => whm_gr_getacch_pl !! Acceleration term arising from the post-Newtonian correction + procedure, public :: p4 => whm_gr_p4_pl !! Position kick due to p**4 term in the post-Newtonian correction + procedure, public :: vh2pv => whm_gr_vh2pv_pl !! Converts from heliocentric velocity to psudeovelocity for GR calculations + procedure, public :: pv2vh => whm_gr_pv2vh_pl !! Converts from psudeovelocity to heliocentric velocity for GR calculations + procedure, public :: setup => whm_setup_pl !! Constructor method - Allocates space for number of particles + procedure, public :: set_mu => whm_util_set_mu_eta_pl !! Sets the Jacobi mass value for all massive bodies. + procedure, public :: set_ir3 => whm_setup_set_ir3j !! Sets both the heliocentric and jacobi inverse radius terms (1/rj**3 and 1/rh**3) + procedure, public :: step => whm_step_pl !! Steps the body forward one stepsize + procedure, public :: spill => whm_spill_pl !!"Spills" bodies from one object to another depending on the results of a mask (uses the PACK intrinsic) end type whm_pl !******************************************************************************************************************************** @@ -58,17 +55,16 @@ module whm_classes type, public, extends(swiftest_tp) :: whm_tp !! Note to developers: If you add componenets to this class, be sure to update methods and subroutines that traverse the !! component list, such as whm_setup_tp and whm_spill_tp - logical :: lfirst = .true. contains private - procedure, public :: drift => whm_drift_tp !! Loop through test particles and call Danby drift routine - procedure, public :: getacch => whm_getacch_tp !! Compute heliocentric accelerations of test particles - procedure, public :: gr_getacch => whm_gr_getacch_tp !! Acceleration term arising from the post-Newtonian correction - procedure, public :: gr_p4 => whm_gr_p4_tp !! Position kick due to p**4 term in the post-Newtonian correction - procedure, public :: gr_vh2pv => whm_gr_vh2pv_tp !! Converts from heliocentric velocity to psudeovelocity for GR calculations - procedure, public :: gr_pv2vh => whm_gr_pv2vh_tp !! Converts from psudeovelocity to heliocentric velocity for GR calculations - procedure, public :: setup => whm_setup_tp !! Allocates new components of the whm class and recursively calls parent allocations - procedure, public :: step => whm_step_tp !! Steps the particle forward one stepsize + procedure, public :: drift => whm_drift_tp !! Loop through test particles and call Danby drift routine + procedure, public :: accel => whm_getacch_tp !! Compute heliocentric accelerations of test particles + procedure, public :: accel_gr => whm_gr_getacch_tp !! Acceleration term arising from the post-Newtonian correction + procedure, public :: p4 => whm_gr_p4_tp !! Position kick due to p**4 term in the post-Newtonian correction + procedure, public :: vh2pv => whm_gr_vh2pv_tp !! Converts from heliocentric velocity to psudeovelocity for GR calculations + procedure, public :: pv2vh => whm_gr_pv2vh_tp !! Converts from psudeovelocity to heliocentric velocity for GR calculations + procedure, public :: setup => whm_setup_tp !! Allocates new components of the whm class and recursively calls parent allocations + procedure, public :: step => whm_step_tp !! Steps the particle forward one stepsize end type whm_tp !******************************************************************************************************************************** @@ -76,14 +72,11 @@ module whm_classes !******************************************************************************************************************************** !> An abstract class for the WHM integrator nbody system type, public, extends(swiftest_nbody_system) :: whm_nbody_system - !> In the WHM integrator, only test particles are discarded - real(DP), dimension(:,:), allocatable :: xbeg, xend !! Positions of massive bodies at beginning and end of a step. Required in order to separate the test particle step from the massive body step contains private !> Replace the abstract procedures with concrete ones - procedure, public :: initialize => whm_setup_system !! Performs WHM-specific initilization steps, like calculating the Jacobi masses - procedure, public :: step => whm_step_system - procedure, public :: set_beg_end => whm_setup_set_beg_end !! Sets the beginning and ending positions of planets. + procedure, public :: initialize => whm_setup_system !! Performs WHM-specific initilization steps, like calculating the Jacobi masses + procedure, public :: step => whm_step_system !! Advance the WHM nbody system forward in time by one step end type whm_nbody_system interface @@ -135,24 +128,25 @@ module subroutine whm_fill_pl(self, inserts, lfill_list) end subroutine whm_fill_pl !> Get heliocentric accelration of massive bodies - module subroutine whm_getacch_pl(self, system, param, t) + module subroutine whm_getacch_pl(self, system, param, t, lbeg) use swiftest_classes, only : swiftest_cb, swiftest_parameters implicit none class(whm_pl), intent(inout) :: self !! WHM massive body particle data structure class(swiftest_nbody_system), intent(inout) :: system !! WHM nbody system object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of real(DP), intent(in) :: t !! Current simulation time + logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the step end subroutine whm_getacch_pl !> Get heliocentric accelration of the test particle - module subroutine whm_getacch_tp(self, system, param, t, xhp) + module subroutine whm_getacch_tp(self, system, param, t, lbeg) use swiftest_classes, only : swiftest_cb, swiftest_parameters implicit none class(whm_tp), intent(inout) :: self !! WHM test particle data structure class(swiftest_nbody_system), intent(inout) :: system !! WHM nbody system object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of real(DP), intent(in) :: t !! Current time - real(DP), dimension(:,:), intent(in) :: xhp !! Heliocentric positions of planets at the current substep + logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the step end subroutine whm_getacch_tp module subroutine whm_gr_getacch_pl(self, param) @@ -213,7 +207,6 @@ module pure subroutine whm_gr_vh2pv_tp(self, param) class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of on parameters end subroutine whm_gr_vh2pv_tp - !> Reads WHM massive body object in from file module subroutine whm_setup_pl(self,n) implicit none @@ -221,24 +214,17 @@ module subroutine whm_setup_pl(self,n) integer(I4B), intent(in) :: n !! Number of test particles to allocate end subroutine whm_setup_pl - module subroutine whm_setup_set_beg_end(self, xbeg, xend, vbeg) - implicit none - class(whm_nbody_system), intent(inout) :: self !! WHM nbody system object - real(DP), dimension(:,:), intent(in), optional :: xbeg, xend - real(DP), dimension(:,:), intent(in), optional :: vbeg ! vbeg is an unused variable to keep this method forward compatible with RMVS - end subroutine whm_setup_set_beg_end - module subroutine whm_setup_set_ir3j(self) implicit none class(whm_pl), intent(inout) :: self !! WHM massive body object end subroutine whm_setup_set_ir3j - module subroutine whm_setup_set_mu_eta_pl(self, cb) + module subroutine whm_util_set_mu_eta_pl(self, cb) use swiftest_classes, only : swiftest_cb implicit none class(whm_pl), intent(inout) :: self !! WHM massive body object class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object - end subroutine whm_setup_set_mu_eta_pl + end subroutine whm_util_set_mu_eta_pl module subroutine whm_setup_system(self, param) use swiftest_classes, only : swiftest_parameters diff --git a/src/obl/obl.f90 b/src/obl/obl.f90 index 1192189df..8792f2399 100644 --- a/src/obl/obl.f90 +++ b/src/obl/obl.f90 @@ -1,23 +1,24 @@ submodule (swiftest_classes) s_obl use swiftest contains - module subroutine obl_acc_body(self, cb) + module subroutine obl_acc_body(self, system) !! author: David A. Minton !! !! Compute the barycentric accelerations of bodies due to the oblateness of the central body !! Returned values do not include monopole term or terms higher than J4 - + !! !! Adapted from David E. Kaufmann's Swifter routine: obl_acc.f90 and obl_acc_tp.f90 !! Adapted from Hal Levison's Swift routine obl_acc.f and obl_acc_tp.f implicit none ! Arguments - class(swiftest_body), intent(inout) :: self !! Swiftest generic body object - class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object + class(swiftest_body), intent(inout) :: self !! Swiftest body object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object ! Internals integer(I4B) :: i real(DP) :: r2, irh, rinv2, t0, t1, t2, t3, fac1, fac2 - associate(n => self%nbody, xh => self%xh, vh => self%vh, ah => self%ah) + associate(n => self%nbody, cb => system%cb) + self%aobl(:,:) = 0.0_DP do i = 1, n r2 = dot_product(self%xh(:, i), self%xh(:, i)) irh = 1.0_DP / sqrt(r2) @@ -31,19 +32,71 @@ module subroutine obl_acc_body(self, cb) self%aobl(:, i) = fac1 * self%xh(:, i) self%aobl(3, i) = fac2 * self%xh(3, i) + self%aobl(3, i) end do - select type(self) - class is (swiftest_pl) - do i = 1, NDIM - cb%aobl(i) = -sum(self%Gmass(1:n) * self%aobl(i, 1:n)) / cb%Gmass - end do - end select + end associate + return + + end subroutine obl_acc_body + + module subroutine obl_acc_pl(self, system) + !! author: David A. Minton + !! + !! Compute the barycentric accelerations of massive bodies due to the oblateness of the central body + !! + !! Adapted from David E. Kaufmann's Swifter routine: obl_acc.f90 and obl_acc_tp.f90 + !! Adapted from Hal Levison's Swift routine obl_acc.f and obl_acc_tp.f + implicit none + ! Arguments + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object + ! Internals + integer(I4B) :: i + + associate(pl => self, npl => self%nbody, cb => system%cb) + call obl_acc_body(pl, system) + do i = 1, NDIM + cb%aobl(i) = -sum(pl%Gmass(1:npl) * pl%aobl(i, 1:npl)) / cb%Gmass + end do + + do i = 1, NDIM + pl%ah(i, 1:npl) = pl%ah(i, 1:npl) + pl%aobl(i, 1:npl) - cb%aobl(i) + end do + end associate + + return + + end subroutine obl_acc_pl + + module subroutine obl_acc_tp(self, system) + !! author: David A. Minton + !! + !! Compute the barycentric accelerations of massive bodies due to the oblateness of the central body + !! + !! Adapted from David E. Kaufmann's Swifter routine: obl_acc.f90 and obl_acc_tp.f90 + !! Adapted from Hal Levison's Swift routine obl_acc.f and obl_acc_tp.f + implicit none + ! Arguments + class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object + class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody system object + ! Internals + real(DP), dimension(NDIM) :: aoblcb + integer(I4B) :: i + + associate(tp => self, ntp => self%nbody, cb => system%cb) + call obl_acc_body(tp, system) + if (system%lbeg) then + aoblcb = cb%aoblbeg + else + aoblcb = cb%aoblend + end if do i = 1, NDIM - self%ah(i, 1:n) = self%ah(i, 1:n) + self%aobl(i, 1:n) - cb%aobl(i) + tp%ah(i, 1:ntp) = tp%ah(i, 1:ntp) + tp%aobl(i, 1:ntp) - aoblcb(i) end do + end associate return - end subroutine obl_acc_body + end subroutine obl_acc_tp + end submodule s_obl diff --git a/src/rmvs/rmvs_encounter_check.f90 b/src/rmvs/rmvs_encounter_check.f90 index 9719567a9..bead4c21b 100644 --- a/src/rmvs/rmvs_encounter_check.f90 +++ b/src/rmvs/rmvs_encounter_check.f90 @@ -24,14 +24,14 @@ module function rmvs_encounter_check_tp(self, system, dt) result(lencounter) select type(pl => system%pl) class is (rmvs_pl) - associate(tp => self, ntp => self%nbody, npl => pl%nbody, xbeg => system%xbeg, vbeg => system%vbeg, rts => system%rts) + associate(tp => self, ntp => self%nbody, npl => pl%nbody, rts => system%rts) r2crit(:) = (rts * pl%rhill(:))**2 tp%plencP(:) = 0 do j = 1, npl do i = 1, ntp if ((tp%status(i) /= ACTIVE).or.(tp%plencP(i) /= 0)) cycle - xr(:) = tp%xh(:, i) - xbeg(:, j) - vr(:) = tp%vh(:, i) - vbeg(:, j) + xr(:) = tp%xh(:, i) - pl%xbeg(:, j) + vr(:) = tp%vh(:, i) - pl%vbeg(:, j) r2 = dot_product(xr(:), xr(:)) v2 = dot_product(vr(:), vr(:)) vdotr = dot_product(vr(:), xr(:)) diff --git a/src/rmvs/rmvs_getacch.f90 b/src/rmvs/rmvs_getacch.f90 index dcbf5aff9..0ede99ab5 100644 --- a/src/rmvs/rmvs_getacch.f90 +++ b/src/rmvs/rmvs_getacch.f90 @@ -1,7 +1,7 @@ submodule(rmvs_classes) s_rmvs_getacch use swiftest contains - module subroutine rmvs_getacch_tp(self, system, param, t, xhp) + module subroutine rmvs_getacch_tp(self, system, param, t, lbeg) !! author: David A. Minton !! @@ -15,63 +15,66 @@ module subroutine rmvs_getacch_tp(self, system, param, t, xhp) class(swiftest_nbody_system), intent(inout) :: system !! Swiftest central body particle data structuree class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters real(DP), intent(in) :: t !! Current time - real(DP), dimension(:,:), intent(in) :: xhp !! Heliocentric positions of planets at current substep + logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the step ! Internals type(swiftest_parameters) :: param_planetocen - real(DP), dimension(:, :), allocatable :: xh_original - integer(I4B) :: i + real(DP), dimension(:, :), allocatable :: xh_original + real(DP) :: GMcb_original + integer(I4B) :: i + real(DP), dimension(:, :), allocatable :: xhp - - associate(tp => self, ntp => self%nbody, ipleP => self%ipleP, inner_index => self%index, cb_heliocentric => self%cb_heliocentric) + associate(tp => self, ntp => self%nbody, ipleP => self%ipleP, inner_index => self%index) select type(system) class is (rmvs_nbody_system) if (system%lplanetocentric) then ! This is a close encounter step, so any accelerations requiring heliocentric position values - ! must be handeled outside the normal WHM method call + ! must be handeled outside the normal WHM method call select type(pl => system%pl) class is (rmvs_pl) - select type (cb => system%cb) - class is (rmvs_cb) - associate(xpc => pl%xh, xpct => self%xh, apct => self%ah) - allocate(xh_original, source=tp%xh) - param_planetocen = param - ! Temporarily turn off the heliocentric-dependent acceleration terms during an inner encounter - param_planetocen%loblatecb = .false. - param_planetocen%lextra_force = .false. - param_planetocen%lgr = .false. - ! Now compute the planetocentric values of acceleration - call whm_getacch_tp(tp, system, param_planetocen, t, xhp) + select type (cb => system%cb) + class is (rmvs_cb) + associate(xpc => pl%xh, xpct => self%xh, apct => self%ah, system_planetocen => system) - ! Now compute any heliocentric values of acceleration - if (tp%lfirst) then - do i = 1, ntp - tp%xheliocentric(:,i) = tp%xh(:,i) + cb%inner(inner_index - 1)%x(:,1) - end do - else - do i = 1, ntp - tp%xheliocentric(:,i) = tp%xh(:,i) + cb%inner(inner_index )%x(:,1) - end do - end if - ! Swap the planetocentric and heliocentric position vectors - tp%xh(:,:) = tp%xheliocentric(:,:) - if (param%loblatecb) then - ! Put in the current encountering planet's oblateness acceleration as the central body's - if (tp%lfirst) then - cb_heliocentric%aobl(:) = cb%inner(inner_index - 1)%aobl(:,1) + if (present(lbeg)) system_planetocen%lbeg = lbeg + + if (system_planetocen%lbeg) then + allocate(xhp, source=pl%xbeg) else - cb_heliocentric%aobl(:) = cb%inner(inner_index )%aobl(:,1) + allocate(xhp, source=pl%xend) end if - call tp%obl_acc(cb_heliocentric) - end if + + allocate(xh_original, source=tp%xh) + param_planetocen = param + ! Temporarily turn off the heliocentric-dependent acceleration terms during an inner encounter + param_planetocen%loblatecb = .false. + param_planetocen%lextra_force = .false. + param_planetocen%lgr = .false. + ! Now compute the planetocentric values of acceleration + call whm_getacch_tp(tp, system_planetocen, param_planetocen, t) - if (param%lextra_force) call tp%user_getacch(system, param, t) - if (param%lgr) call tp%gr_getacch(param) - - tp%xh(:,:) = xh_original(:,:) - end associate - end select + ! Now compute any heliocentric values of acceleration + if (tp%lfirst) then + do i = 1, ntp + tp%xheliocentric(:,i) = tp%xh(:,i) + cb%inner(inner_index - 1)%x(:,1) + end do + else + do i = 1, ntp + tp%xheliocentric(:,i) = tp%xh(:,i) + cb%inner(inner_index )%x(:,1) + end do + end if + ! Swap the planetocentric and heliocentric position vectors and central body masses + tp%xh(:,:) = tp%xheliocentric(:,:) + GMcb_original = cb%Gmass + cb%Gmass = tp%cb_heliocentric%Gmass + if (param%loblatecb) call tp%accel_obl(system_planetocen) + if (param%lextra_force) call tp%accel_user(system_planetocen, param, t) + if (param%lgr) call tp%accel_gr(param) + tp%xh(:,:) = xh_original(:,:) + cb%Gmass = GMcb_original + end associate + end select end select else ! Not a close encounter, so just proceded with the standard WHM method - call whm_getacch_tp(tp, system, param, t, xhp) + call whm_getacch_tp(tp, system, param, t, lbeg) end if end select diff --git a/src/rmvs/rmvs_setup.f90 b/src/rmvs/rmvs_setup.f90 index 9d5916f56..4c0c27ff1 100644 --- a/src/rmvs/rmvs_setup.f90 +++ b/src/rmvs/rmvs_setup.f90 @@ -46,37 +46,10 @@ module subroutine rmvs_setup_pl(self,n) return end subroutine rmvs_setup_pl - module subroutine rmvs_setup_tp(self,n) - !! author: David A. Minton - !! - !! Allocate WHM test particle structure - !! - !! Equivalent in functionality to David E. Kaufmann's Swifter routine whm_setup.f90 - implicit none - ! Arguments - class(rmvs_tp), intent(inout) :: self !! RMVS test particle object - integer, intent(in) :: n !! Number of test particles to allocate - - !> Call allocation method for parent class - call whm_setup_tp(self, n) - if (n <= 0) return - - allocate(self%lperi(n)) - allocate(self%plperP(n)) - allocate(self%plencP(n)) - if (self%lplanetocentric) then - allocate(self%xheliocentric(NDIM, n)) - end if - - self%lperi(:) = .false. - - return - end subroutine rmvs_setup_tp - module subroutine rmvs_setup_system(self, param) !! author: David A. Minton !! - !! Wrapper method to initialize a basic Swiftest nbody system from files. + !! nitialize an RMVS nbody system from files and sets up the planetocentric structures. !! !! We currently rearrange the pl order to keep it consistent with the way Swifter does it !! In Swifter, the central body occupies the first position in the pl list, and during @@ -144,31 +117,32 @@ module subroutine rmvs_setup_system(self, param) end select end subroutine rmvs_setup_system - - module subroutine rmvs_setup_set_beg_end(self, xbeg, xend, vbeg) + + module subroutine rmvs_setup_tp(self,n) !! author: David A. Minton - !! - !! Sets one or more of the values of xbeg, xend, and vbeg + !! + !! Allocate WHM test particle structure + !! + !! Equivalent in functionality to David E. Kaufmann's Swifter routine whm_setup.f90 implicit none ! Arguments - class(rmvs_nbody_system), intent(inout) :: self !! RMVS test particle object - real(DP), dimension(:,:), intent(in), optional :: xbeg, xend, vbeg + class(rmvs_tp), intent(inout) :: self !! RMVS test particle object + integer, intent(in) :: n !! Number of test particles to allocate - if (present(xbeg)) then - if (allocated(self%xbeg)) deallocate(self%xbeg) - allocate(self%xbeg, source=xbeg) - end if - if (present(xend)) then - if (allocated(self%xend)) deallocate(self%xend) - allocate(self%xend, source=xend) - end if - if (present(vbeg)) then - if (allocated(self%vbeg)) deallocate(self%vbeg) - allocate(self%vbeg, source=vbeg) + !> Call allocation method for parent class + call whm_setup_tp(self, n) + if (n <= 0) return + + allocate(self%lperi(n)) + allocate(self%plperP(n)) + allocate(self%plencP(n)) + if (self%lplanetocentric) then + allocate(self%xheliocentric(NDIM, n)) end if - return + self%lperi(:) = .false. - end subroutine rmvs_setup_set_beg_end + return + end subroutine rmvs_setup_tp end submodule s_rmvs_setup diff --git a/src/rmvs/rmvs_step.f90 b/src/rmvs/rmvs_step.f90 index bad3c1b1f..71091f6dd 100644 --- a/src/rmvs/rmvs_step.f90 +++ b/src/rmvs/rmvs_step.f90 @@ -30,7 +30,7 @@ module subroutine rmvs_step_system(self, param, t, dt) allocate(xbeg, source=pl%xh) allocate(vbeg, source=pl%vh) call pl%set_rhill(cb) - call system%set_beg_end(xbeg = xbeg, vbeg = vbeg) + call pl%set_beg_end(xbeg = xbeg, vbeg = vbeg) ! ****** Check for close encounters ***** ! system%rts = RHSCALE lencounter = tp%encounter_check(system, dt) @@ -42,18 +42,17 @@ module subroutine rmvs_step_system(self, param, t, dt) call pl%step(system, param, t, dt) pl%outer(NTENC)%x(:,:) = pl%xh(:,:) pl%outer(NTENC)%v(:,:) = pl%vh(:,:) - call system%set_beg_end(xend = pl%xh) - call rmvs_interp_out(system, param, dt) - call rmvs_step_out(system, param, t, dt) + call rmvs_interp_out(cb, pl, dt) + call rmvs_step_out(cb, pl, tp, system, param, t, dt) call tp%reverse_status() - call system%set_beg_end(xbeg = xbeg, xend = xend) + call pl%set_beg_end(xbeg = xbeg, xend = xend) tp%lfirst = .true. call tp%step(system, param, t, dt) where (tp%status(:) == INACTIVE) tp%status(:) = ACTIVE pl%lfirst = lfirstpl tp%lfirst = lfirsttp else - call whm_step_system(self, param, t, dt) + call whm_step_system(system, param, t, dt) end if end associate end select @@ -63,133 +62,144 @@ module subroutine rmvs_step_system(self, param, t, dt) end subroutine rmvs_step_system - subroutine rmvs_step_out(system, param, t, dt) + subroutine rmvs_interp_out(cb, pl, dt) !! author: David A. Minton !! - !! Step ACTIVE test particles ahead in the outer encounter region, setting up and calling the inner region - !! integration if necessar - !! - !! Adapted from Hal Levison's Swift routines rmvs3_step_out.f and rmvs3_step_out2.f - !! Adapted from David E. Kaufmann's Swifter routines rmvs_step_out.f90 and rmvs_step_out2.f90 + !! Interpolate planet positions between two Keplerian orbits in outer encounter region + !! + !! Adapted from David E. Kaufmann's Swifter routine rmvs_interp_out.f90 + !! + !! Adapted from Hal Levison's Swift routine rmvs3_interp.f implicit none ! Arguments - class(rmvs_nbody_system), intent(inout) :: system !! Swiftest system object - class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters - real(DP), intent(in) :: t !! Current simulation time - real(DP), intent(in) :: dt !! Current stepsiz + class(rmvs_cb), intent(inout) :: cb !! RMVS central body object + class(rmvs_pl), intent(inout) :: pl !! RMVS massive body object + real(DP), intent(in) :: dt !! Step size ! Internals - integer(I4B) :: outer_index, j, k - real(DP) :: dto, outer_time, rts - logical :: lencounter, lfirsttp + integer(I4B) :: i, outer_index + real(DP) :: frac, dntenc + real(DP), dimension(:,:), allocatable :: xtmp, vtmp + real(DP), dimension(:), allocatable :: GMcb, dto + integer(I4B), dimension(:), allocatable :: iflag - select type(pl => system%pl) - class is (rmvs_pl) - select type(tp => system%tp) - class is (rmvs_tp) - associate(cb => system%cb, npl => pl%nbody, ntp => tp%nbody) - dto = dt / NTENC - where(tp%plencP(:) == 0) - tp%status(:) = INACTIVE - elsewhere - tp%lperi(:) = .false. - end where - do outer_index = 1, NTENC - outer_time = t + (outer_index - 1) * dto - call system%set_beg_end(xbeg = pl%outer(outer_index - 1)%x(:, :), & - vbeg = pl%outer(outer_index - 1)%v(:, :), & - xend = pl%outer(outer_index )%x(:, :)) - system%rts = RHPSCALE - lencounter = tp%encounter_check(system, dt) - if (lencounter) then - ! Interpolate planets in inner encounter region - call rmvs_interp_in(system, param, dto, outer_index) - ! Step through the inner region - call rmvs_step_in(system, param, outer_time, dto) - lfirsttp = tp%lfirst - tp%lfirst = .true. - call tp%step(system, param, outer_time, dto) - tp%lfirst = lfirsttp - else - call tp%step(system, param, outer_time, dto) + dntenc = real(NTENC, kind=DP) + associate (npl => pl%nbody) + allocate(xtmp, mold = pl%xh) + allocate(vtmp, mold = pl%vh) + allocate(GMcb(npl)) + allocate(dto(npl)) + allocate(iflag(npl)) + dto(:) = dt / dntenc + GMcb(:) = cb%Gmass + xtmp(:,:) = pl%outer(0)%x(:, :) + vtmp(:,:) = pl%outer(0)%v(:, :) + do outer_index = 1, NTENC - 1 + call drift_one(GMcb(1:npl), xtmp(1,1:npl), xtmp(2,1:npl), xtmp(3,1:npl), & + vtmp(1,1:npl), vtmp(2,1:npl), vtmp(3,1:npl), & + dto(1:npl), iflag(1:npl)) + if (any(iflag(1:npl) /= 0)) then + do i = 1, npl + if (iflag(i) /= 0) then + write(*, *) " Planet ", pl%name(i), " is lost!!!!!!!!!!" + write(*, *) GMcb(i), dto(i) + write(*, *) xtmp(:,i) + write(*, *) vtmp(:,i) + write(*, *) " STOPPING " + call util_exit(FAILURE) end if - do j = 1, npl - if (pl%nenc(j) == 0) cycle - where((tp%plencP(:) == j) .and. (tp%status(:) == INACTIVE)) tp%status(:) = ACTIVE - end do end do - end associate - end select - end select + end if + frac = 1.0_DP - outer_index / dntenc + pl%outer(outer_index)%x(:, :) = frac * xtmp(:,:) + pl%outer(outer_index)%v(:, :) = frac * vtmp(:,:) + end do + xtmp(:,:) = pl%outer(NTENC)%x(:, :) + vtmp(:,:) = pl%outer(NTENC)%v(:, :) + do outer_index = NTENC - 1, 1, -1 + call drift_one(GMcb(1:npl), xtmp(1,1:npl), xtmp(2,1:npl), xtmp(3,1:npl), & + vtmp(1,1:npl), vtmp(2,1:npl), vtmp(3,1:npl), & + -dto(1:npl), iflag(1:npl)) + if (any(iflag(1:npl) /= 0)) then + do i = 1, npl + if (iflag(i) /= 0) then + write(*, *) " Planet ", pl%name(i), " is lost!!!!!!!!!!" + write(*, *) GMcb(i), -dto(i) + write(*, *) xtmp(:,i) + write(*, *) vtmp(:,i) + write(*, *) " STOPPING " + call util_exit(FAILURE) + end if + end do + end if + frac = outer_index / dntenc + pl%outer(outer_index)%x(:, :) = pl%outer(outer_index)%x(:, :) + frac * xtmp(:,:) + pl%outer(outer_index)%v(:, :) = pl%outer(outer_index)%v(:, :) + frac * vtmp(:,:) + end do + end associate + return - end subroutine rmvs_step_out + end subroutine rmvs_interp_out - subroutine rmvs_step_in(system, param, outer_time, dto) + subroutine rmvs_step_out(cb, pl, tp, system, param, t, dt) !! author: David A. Minton !! - !! Step active test particles ahead in the inner encounter region + !! Step ACTIVE test particles ahead in the outer encounter region, setting up and calling the inner region + !! integration if necessar !! - !! Adapted from Hal Levison's Swift routine rmvs3_step_in.f - !! Adapted from David E. Kaufmann's Swifter routine rmvs_step_in.f90 + !! Adapted from Hal Levison's Swift routines rmvs3_step_out.f and rmvs3_step_out2.f + !! Adapted from David E. Kaufmann's Swifter routines rmvs_step_out.f90 and rmvs_step_out2.f90 implicit none ! Arguments - class(rmvs_nbody_system), intent(inout) :: system !! RMVS nbody system object - class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters - real(DP), intent(in) :: outer_time !! Current time - real(DP), intent(in) :: dto !! Outer step size + class(rmvs_cb), intent(inout) :: cb !! RMVS central body object + class(rmvs_pl), intent(inout) :: pl !! RMVS massive body object + class(rmvs_tp), intent(inout) :: tp !! RMVS test particle object + class(rmvs_nbody_system), intent(inout) :: system !! RMVS nbody system object + class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters + real(DP), intent(in) :: t !! Current simulation time + real(DP), intent(in) :: dt !! Current stepsiz ! Internals - logical :: lfirsttp - integer(I4B) :: i, j, ipleP - real(DP) :: dti, inner_time + integer(I4B) :: outer_index, j, k + real(DP) :: dto, outer_time, rts + logical :: lencounter, lfirsttp - select type(pl => system%pl) - class is (rmvs_pl) - select type (tp => system%tp) - class is (rmvs_tp) - associate(npl => pl%nbody, cb => system%cb) - dti = dto / NTPHENC - if (param%loblatecb) call pl%obl_acc(cb) - call rmvs_make_planetocentric(system, param) - do i = 1, npl - if (pl%nenc(i) == 0) cycle - select type(planetocen_system => pl%planetocentric(i)) - class is (rmvs_nbody_system) - select type(plenci => planetocen_system%pl) - class is (rmvs_pl) - select type(tpenci => planetocen_system%tp) - class is (rmvs_tp) - associate(inner_index => tpenci%index) - ! There are inner encounters with this planet...switch to planetocentric coordinates to proceed - tpenci%lfirst = .true. - inner_time = outer_time - call rmvs_peri_tp(tpenci, pl, inner_time, dti, .true., 0, i, param) - ! now step the encountering test particles fully through the inner encounter - lfirsttp = .true. - do inner_index = 1, NTPHENC ! Integrate over the encounter region, using the "substitute" planetocentric systems at each level - plenci%xh(:,:) = plenci%inner(inner_index - 1)%x(:,:) - call planetocen_system%set_beg_end(xbeg = plenci%inner(inner_index - 1)%x, & - xend = plenci%inner(inner_index)%x) - call tpenci%step(planetocen_system, param, inner_time, dti) - do j = 1, pl%nenc(i) - tpenci%xheliocentric(:, j) = tpenci%xh(:, j) + pl%inner(inner_index)%x(:,i) - end do - inner_time = outer_time + j * dti - call rmvs_peri_tp(tpenci, pl, inner_time, dti, .false., inner_index, i, param) - end do - where(tpenci%status(:) == ACTIVE) tpenci%status(:) = INACTIVE - end associate - end select - end select - end select - end do - call rmvs_end_planetocentric(system) - end associate - end select - end select + associate(npl => pl%nbody, ntp => tp%nbody) + dto = dt / NTENC + where(tp%plencP(:) == 0) + tp%status(:) = INACTIVE + elsewhere + tp%lperi(:) = .false. + end where + do outer_index = 1, NTENC + outer_time = t + (outer_index - 1) * dto + call pl%set_beg_end(xbeg = pl%outer(outer_index - 1)%x(:, :), & + vbeg = pl%outer(outer_index - 1)%v(:, :), & + xend = pl%outer(outer_index )%x(:, :)) + system%rts = RHPSCALE + lencounter = tp%encounter_check(system, dt) + if (lencounter) then + ! Interpolate planets in inner encounter region + call rmvs_interp_in(cb, pl, system, param, dto, outer_index) + ! Step through the inner region + call rmvs_step_in(cb, pl, tp, param, outer_time, dto) + lfirsttp = tp%lfirst + tp%lfirst = .true. + call tp%step(system, param, outer_time, dto) + tp%lfirst = lfirsttp + else + call tp%step(system, param, outer_time, dto) + end if + do j = 1, npl + if (pl%nenc(j) == 0) cycle + where((tp%plencP(:) == j) .and. (tp%status(:) == INACTIVE)) tp%status(:) = ACTIVE + end do + end do + end associate return - end subroutine rmvs_step_in - subroutine rmvs_interp_in(system, param, dt, outer_index) + end subroutine rmvs_step_out + + subroutine rmvs_interp_in(cb, pl, system, param, dt, outer_index) !! author: David A. Minton !! !! Interpolate planet positions between two Keplerian orbits in inner encounter regio @@ -199,7 +209,9 @@ subroutine rmvs_interp_in(system, param, dt, outer_index) !! Adapted from Hal Levison's Swift routine rmvs3_interp.f implicit none ! Arguments - class(rmvs_nbody_system), intent(inout) :: system !! RMVS test particle object + class(rmvs_cb), intent(inout) :: cb !! RMVS cenral body object + class(rmvs_pl), intent(inout) :: pl !! RMVS massive body object + class(rmvs_nbody_system), intent(inout) :: system !! RMVS nbody system object class(swiftest_parameters), intent(in) :: param !! Swiftest parameters file real(DP), intent(in) :: dt !! Step size integer(I4B), intent(in) :: outer_index !! Outer substep number within current set @@ -210,179 +222,234 @@ subroutine rmvs_interp_in(system, param, dt, outer_index) real(DP), dimension(:), allocatable :: GMcb, dti integer(I4B), dimension(:), allocatable :: iflag - associate (cb => system%cb, npl => system%pl%nbody) - select type(pl => system%pl) - class is (rmvs_pl) - dntphenc = real(NTPHENC, kind=DP) + associate (npl => system%pl%nbody) + dntphenc = real(NTPHENC, kind=DP) - ! Set the endpoints of the inner region from the outer region values in the current outer step index - pl%inner(0)%x(:,:) = pl%outer(outer_index - 1)%x(:, :) - pl%inner(0)%v(:,:) = pl%outer(outer_index - 1)%v(:, :) - pl%inner(NTPHENC)%x(:,:) = pl%outer(outer_index)%x(:, :) - pl%inner(NTPHENC)%v(:,:) = pl%outer(outer_index)%v(:, :) - - allocate(xtmp,mold=pl%xh) - allocate(vtmp,mold=pl%vh) - allocate(GMcb(npl)) - allocate(dti(npl)) - allocate(iflag(npl)) - dti(:) = dt / dntphenc - GMcb(:) = cb%Gmass - xtmp(:, :) = pl%inner(0)%x(:, :) - vtmp(:, :) = pl%inner(0)%v(:, :) - if (param%loblatecb) then - allocate(xh_original,source=pl%xh) - pl%xh(:, :) = xtmp(:, :) ! Temporarily replace heliocentric position with inner substep values to calculate the oblateness terms - call pl%obl_acc(cb) - pl%inner(0)%aobl(:, :) = pl%aobl(:, :) ! Save the oblateness acceleration on the planet for this substep + ! Set the endpoints of the inner region from the outer region values in the current outer step index + pl%inner(0)%x(:,:) = pl%outer(outer_index - 1)%x(:, :) + pl%inner(0)%v(:,:) = pl%outer(outer_index - 1)%v(:, :) + pl%inner(NTPHENC)%x(:,:) = pl%outer(outer_index)%x(:, :) + pl%inner(NTPHENC)%v(:,:) = pl%outer(outer_index)%v(:, :) + + allocate(xtmp,mold=pl%xh) + allocate(vtmp,mold=pl%vh) + allocate(GMcb(npl)) + allocate(dti(npl)) + allocate(iflag(npl)) + dti(:) = dt / dntphenc + GMcb(:) = cb%Gmass + xtmp(:, :) = pl%inner(0)%x(:, :) + vtmp(:, :) = pl%inner(0)%v(:, :) + if (param%loblatecb) then + allocate(xh_original,source=pl%xh) + pl%xh(:, :) = xtmp(:, :) ! Temporarily replace heliocentric position with inner substep values to calculate the oblateness terms + call pl%accel_obl(system) + pl%inner(0)%aobl(:, :) = pl%aobl(:, :) ! Save the oblateness acceleration on the planet for this substep + end if + + do inner_index = 1, NTPHENC - 1 + call drift_one(GMcb(1:npl), xtmp(1,1:npl), xtmp(2,1:npl), xtmp(3,1:npl), & + vtmp(1,1:npl), vtmp(2,1:npl), vtmp(3,1:npl), & + dti(1:npl), iflag(1:npl)) + if (any(iflag(1:npl) /= 0)) then + do i = 1, npl + if (iflag(i) /=0) then + write(*, *) " Planet ", pl%name(i), " is lost!!!!!!!!!!" + write(*, *) GMcb(i), dti(i) + write(*, *) xtmp(:,i) + write(*, *) vtmp(:,i) + write(*, *) " STOPPING " + call util_exit(failure) + end if + end do end if - - do inner_index = 1, NTPHENC - 1 - call drift_one(GMcb(1:npl), xtmp(1,1:npl), xtmp(2,1:npl), xtmp(3,1:npl), & - vtmp(1,1:npl), vtmp(2,1:npl), vtmp(3,1:npl), & - dti(1:npl), iflag(1:npl)) - if (any(iflag(1:npl) /= 0)) then - do i = 1, npl - if (iflag(i) /=0) then - write(*, *) " Planet ", pl%name(i), " is lost!!!!!!!!!!" - write(*, *) GMcb(i), dti(i) - write(*, *) xtmp(:,i) - write(*, *) vtmp(:,i) - write(*, *) " STOPPING " - call util_exit(failure) - end if - end do - end if - frac = 1.0_DP - inner_index / dntphenc - pl%inner(inner_index)%x(:, :) = frac * xtmp(:,:) - pl%inner(inner_index)%v(:, :) = frac * vtmp(:,:) - end do - - xtmp(:,:) = pl%inner(NTPHENC)%x(:, :) - vtmp(:,:) = pl%inner(NTPHENC)%v(:, :) - - do inner_index = NTPHENC - 1, 1, -1 - call drift_one(GMcb(1:npl), xtmp(1,1:npl), xtmp(2,1:npl), xtmp(3,1:npl), & - vtmp(1,1:npl), vtmp(2,1:npl), vtmp(3,1:npl), & - -dti(1:npl), iflag(1:npl)) - if (any(iflag(1:npl) /= 0)) then - do i = 1, npl - if (iflag(i) /=0) then - write(*, *) " Planet ", pl%name(i), " is lost!!!!!!!!!!" - write(*, *) GMcb(i), -dti(i) - write(*, *) xtmp(:,i) - write(*, *) vtmp(:,i) - write(*, *) " STOPPING " - call util_exit(failure) - end if - end do - end if - frac = inner_index / dntphenc - pl%inner(inner_index)%x(:, :) = pl%inner(inner_index)%x(:, :) + frac * xtmp(:, :) - pl%inner(inner_index)%v(:, :) = pl%inner(inner_index)%v(:, :) + frac * vtmp(:, :) - - if (param%loblatecb) then - pl%xh(:,:) = pl%inner(inner_index)%x(:, :) - call pl%obl_acc(cb) - pl%inner(inner_index)%aobl(:, :) = pl%aobl(:, :) - end if - end do + frac = 1.0_DP - inner_index / dntphenc + pl%inner(inner_index)%x(:, :) = frac * xtmp(:,:) + pl%inner(inner_index)%v(:, :) = frac * vtmp(:,:) + end do + + xtmp(:,:) = pl%inner(NTPHENC)%x(:, :) + vtmp(:,:) = pl%inner(NTPHENC)%v(:, :) + + do inner_index = NTPHENC - 1, 1, -1 + call drift_one(GMcb(1:npl), xtmp(1,1:npl), xtmp(2,1:npl), xtmp(3,1:npl), & + vtmp(1,1:npl), vtmp(2,1:npl), vtmp(3,1:npl), & + -dti(1:npl), iflag(1:npl)) + if (any(iflag(1:npl) /= 0)) then + do i = 1, npl + if (iflag(i) /=0) then + write(*, *) " Planet ", pl%name(i), " is lost!!!!!!!!!!" + write(*, *) GMcb(i), -dti(i) + write(*, *) xtmp(:,i) + write(*, *) vtmp(:,i) + write(*, *) " STOPPING " + call util_exit(failure) + end if + end do + end if + frac = inner_index / dntphenc + pl%inner(inner_index)%x(:, :) = pl%inner(inner_index)%x(:, :) + frac * xtmp(:, :) + pl%inner(inner_index)%v(:, :) = pl%inner(inner_index)%v(:, :) + frac * vtmp(:, :) + if (param%loblatecb) then - ! Calculate the final value of oblateness accelerations at the final inner substep - pl%xh(:,:) = pl%inner(NTPHENC)%x(:, :) - call pl%obl_acc(cb) - pl%inner(NTPHENC)%aobl(:, :) = pl%aobl(:, :) - ! Put the planet positions back into place - call move_alloc(xh_original, pl%xh) + pl%xh(:,:) = pl%inner(inner_index)%x(:, :) + call pl%accel_obl(system) + pl%inner(inner_index)%aobl(:, :) = pl%aobl(:, :) end if - end select + end do + if (param%loblatecb) then + ! Calculate the final value of oblateness accelerations at the final inner substep + pl%xh(:,:) = pl%inner(NTPHENC)%x(:, :) + call pl%accel_obl(system) + pl%inner(NTPHENC)%aobl(:, :) = pl%aobl(:, :) + ! Put the planet positions back into place + call move_alloc(xh_original, pl%xh) + end if end associate return end subroutine rmvs_interp_in - subroutine rmvs_interp_out(system, param, dt) + subroutine rmvs_step_in(cb, pl, tp, param, outer_time, dto) !! author: David A. Minton !! - !! Interpolate planet positions between two Keplerian orbits in outer encounter region + !! Step active test particles ahead in the inner encounter region + !! + !! Adapted from Hal Levison's Swift routine rmvs3_step_in.f + !! Adapted from David E. Kaufmann's Swifter routine rmvs_step_in.f90 + implicit none + ! Arguments + class(rmvs_cb), intent(inout) :: cb !! RMVS central body object + class(rmvs_pl), intent(inout) :: pl !! RMVS massive body object + class(rmvs_tp), intent(inout) :: tp !! RMVS test particle object + class(swiftest_parameters), intent(inout) :: param !! Current run configuration parameters + real(DP), intent(in) :: outer_time !! Current time + real(DP), intent(in) :: dto !! Outer step size + ! Internals + logical :: lfirsttp + integer(I4B) :: i, j, ipleP + real(DP) :: dti, inner_time + + associate(npl => pl%nbody) + dti = dto / NTPHENC + call rmvs_make_planetocentric(cb, pl, tp) + do i = 1, npl + if (pl%nenc(i) == 0) cycle + select type(planetocen_system => pl%planetocentric(i)) + class is (rmvs_nbody_system) + select type(cbenci => planetocen_system%cb) + class is (rmvs_cb) + select type(plenci => planetocen_system%pl) + class is (rmvs_pl) + select type(tpenci => planetocen_system%tp) + class is (rmvs_tp) + associate(inner_index => tpenci%index) + ! There are inner encounters with this planet...switch to planetocentric coordinates to proceed + tpenci%lfirst = .true. + inner_time = outer_time + call rmvs_peri_tp(tpenci, pl, inner_time, dti, .true., 0, i, param) + ! now step the encountering test particles fully through the inner encounter + lfirsttp = .true. + do inner_index = 1, NTPHENC ! Integrate over the encounter region, using the "substitute" planetocentric systems at each level + plenci%xh(:,:) = plenci%inner(inner_index - 1)%x(:,:) + call plenci%set_beg_end(xbeg = plenci%inner(inner_index - 1)%x, & + xend = plenci%inner(inner_index)%x) + call cbenci%set_beg_end(aoblbeg = cbenci%inner(inner_index - 1)%aobl(:, 1), & + aoblend = cbenci%inner(inner_index )%aobl(:, 1)) + call tpenci%step(planetocen_system, param, inner_time, dti) + do j = 1, pl%nenc(i) + tpenci%xheliocentric(:, j) = tpenci%xh(:, j) + pl%inner(inner_index)%x(:,i) + end do + inner_time = outer_time + j * dti + call rmvs_peri_tp(tpenci, pl, inner_time, dti, .false., inner_index, i, param) + end do + where(tpenci%status(:) == ACTIVE) tpenci%status(:) = INACTIVE + end associate + end select + end select + end select + end select + end do + call rmvs_end_planetocentric(pl, tp) + end associate + return + end subroutine rmvs_step_in + + subroutine rmvs_make_planetocentric(cb, pl, tp) + !! author: David A. Minton !! - !! Adapted from David E. Kaufmann's Swifter routine rmvs_interp_out.f90 + !! When encounters are detected, this method will call the interpolation methods for the planets and + !! creates a Swiftest test particle structure for each planet's encountering test particles to simplify the + !! planetocentric calculations. This subroutine is not based on an existing one from Swift and Swifter !! - !! Adapted from Hal Levison's Swift routine rmvs3_interp.f implicit none ! Arguments - class(rmvs_nbody_system), intent(inout) :: system !! RMVS nbody system object - class(swiftest_parameters), intent(in) :: param !! Swiftest parameters file - real(DP), intent(in) :: dt !! Step size - ! Internals - integer(I4B) :: i, outer_index - real(DP) :: frac, dntenc - real(DP), dimension(:,:), allocatable :: xtmp, vtmp - real(DP), dimension(:), allocatable :: GMcb, dto - integer(I4B), dimension(:), allocatable :: iflag + class(rmvs_cb), intent(inout) :: cb !! RMVS central body object + class(rmvs_pl), intent(inout) :: pl !! RMVS massive body object + class(rmvs_tp), intent(inout) :: tp !! RMVS test particle object - dntenc = real(NTENC, kind=DP) - associate (cb => system%cb, pl => system%pl, npl => system%pl%nbody) - select type(pl => system%pl) - class is (rmvs_pl) - allocate(xtmp, mold = pl%xh) - allocate(vtmp, mold = pl%vh) - allocate(GMcb(npl)) - allocate(dto(npl)) - allocate(iflag(npl)) - dto(:) = dt / dntenc - GMcb(:) = cb%Gmass - xtmp(:,:) = pl%outer(0)%x(:, :) - vtmp(:,:) = pl%outer(0)%v(:, :) - do outer_index = 1, NTENC - 1 - call drift_one(GMcb(1:npl), xtmp(1,1:npl), xtmp(2,1:npl), xtmp(3,1:npl), & - vtmp(1,1:npl), vtmp(2,1:npl), vtmp(3,1:npl), & - dto(1:npl), iflag(1:npl)) + ! Internals + integer(I4B) :: i, j, inner_index, ipc2hc + logical, dimension(:), allocatable :: encmask - if (any(iflag(1:npl) /= 0)) then - do i = 1, npl - if (iflag(i) /= 0) then - write(*, *) " Planet ", pl%name(i), " is lost!!!!!!!!!!" - write(*, *) GMcb(i), dto(i) - write(*, *) xtmp(:,i) - write(*, *) vtmp(:,i) - write(*, *) " STOPPING " - call util_exit(FAILURE) - end if - end do - end if - frac = 1.0_DP - outer_index / dntenc - pl%outer(outer_index)%x(:, :) = frac * xtmp(:,:) - pl%outer(outer_index)%v(:, :) = frac * vtmp(:,:) - end do - xtmp(:,:) = pl%outer(NTENC)%x(:, :) - vtmp(:,:) = pl%outer(NTENC)%v(:, :) - do outer_index = NTENC - 1, 1, -1 - call drift_one(GMcb(1:npl), xtmp(1,1:npl), xtmp(2,1:npl), xtmp(3,1:npl), & - vtmp(1,1:npl), vtmp(2,1:npl), vtmp(3,1:npl), & - -dto(1:npl), iflag(1:npl)) - if (any(iflag(1:npl) /= 0)) then - do i = 1, npl - if (iflag(i) /= 0) then - write(*, *) " Planet ", pl%name(i), " is lost!!!!!!!!!!" - write(*, *) GMcb(i), -dto(i) - write(*, *) xtmp(:,i) - write(*, *) vtmp(:,i) - write(*, *) " STOPPING " - call util_exit(FAILURE) - end if - end do - end if - frac = outer_index / dntenc - pl%outer(outer_index)%x(:, :) = pl%outer(outer_index)%x(:, :) + frac * xtmp(:,:) - pl%outer(outer_index)%v(:, :) = pl%outer(outer_index)%v(:, :) + frac * vtmp(:,:) - end do - end select + associate (npl => pl%nbody, ntp => tp%nbody) + do i = 1, npl + if (pl%nenc(i) == 0) cycle + ! There are inner encounters with this planet + if (allocated(encmask)) deallocate(encmask) + allocate(encmask(ntp)) + encmask(:) = tp%plencP(:) == i + allocate(rmvs_tp :: pl%planetocentric(i)%tp) + ! Create encountering test particle structure + select type(cbenci => pl%planetocentric(i)%cb) + class is (rmvs_cb) + select type(plenci => pl%planetocentric(i)%pl) + class is (rmvs_pl) + select type(tpenci => pl%planetocentric(i)%tp) + class is (rmvs_tp) + tpenci%lplanetocentric = .true. + call tpenci%setup(pl%nenc(i)) + tpenci%cb_heliocentric = cb + tpenci%ipleP = i + tpenci%status(:) = ACTIVE + ! Grab all the encountering test particles and convert them to a planetocentric frame + tpenci%name(:) = pack(tp%name(:), encmask(:)) + do j = 1, NDIM + tpenci%xheliocentric(j, :) = pack(tp%xh(j,:), encmask(:)) + tpenci%xh(j, :) = tpenci%xheliocentric(j, :) - pl%inner(0)%x(j, i) + tpenci%vh(j, :) = pack(tp%vh(j,:), encmask(:)) - pl%inner(0)%v(j, i) + end do + tpenci%lperi(:) = pack(tp%lperi(:), encmask(:)) + tpenci%plperP(:) = pack(tp%plperP(:), encmask(:)) + ! Make sure that the test particles get the planetocentric value of mu + allocate(cbenci%inner(0:NTPHENC)) + do inner_index = 0, NTPHENC + allocate(plenci%inner(inner_index)%x, mold=pl%inner(inner_index)%x) + allocate(plenci%inner(inner_index)%v, mold=pl%inner(inner_index)%x) + allocate(plenci%inner(inner_index)%aobl, mold=pl%inner(inner_index)%aobl) + allocate(cbenci%inner(inner_index)%x(NDIM,1)) + allocate(cbenci%inner(inner_index)%v(NDIM,1)) + allocate(cbenci%inner(inner_index)%aobl(NDIM,1)) + cbenci%inner(inner_index)%x(:,1) = pl%inner(inner_index)%x(:, i) + cbenci%inner(inner_index)%v(:,1) = pl%inner(inner_index)%v(:, i) + cbenci%inner(inner_index)%aobl(:,1) = pl%inner(inner_index)%aobl(:, i) + plenci%inner(inner_index)%x(:,1) = -cbenci%inner(inner_index)%x(:,1) + plenci%inner(inner_index)%v(:,1) = -cbenci%inner(inner_index)%v(:,1) + do j = 2, npl + ipc2hc = plenci%plind(j) + plenci%inner(inner_index)%x(:,j) = pl%inner(inner_index)%x(:, ipc2hc) - cbenci%inner(inner_index)%x(:,1) + plenci%inner(inner_index)%v(:,j) = pl%inner(inner_index)%v(:, ipc2hc) - cbenci%inner(inner_index)%v(:,1) + end do + end do + call tpenci%set_mu(cbenci) + end select + end select + end select + end do end associate - return + end subroutine rmvs_make_planetocentric - end subroutine rmvs_interp_out subroutine rmvs_peri_tp(tp, pl, t, dt, lfirst, inner_index, ipleP, param) !! author: David A. Minton @@ -467,148 +534,57 @@ subroutine rmvs_peri_tp(tp, pl, t, dt, lfirst, inner_index, ipleP, param) end subroutine rmvs_peri_tp - subroutine rmvs_make_planetocentric(system, param) - !! author: David A. Minton - !! - !! When encounters are detected, this method will call the interpolation methods for the planets and - !! creates a Swiftest test particle structure for each planet's encountering test particles to simplify the - !! planetocentric calculations. This subroutine is not based on an existing one from Swift and Swifter - !! - implicit none - ! Arguments - class(rmvs_nbody_system), intent(inout) :: system !! RMVS nbody system object - class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters - - ! Internals - integer(I4B) :: i, j, inner_index, ipc2hc - logical, dimension(:), allocatable :: encmask - - select type(cb => system%cb) - class is (rmvs_cb) - select type(pl => system%pl) - class is (rmvs_pl) - select type (tp => system%tp) - class is (rmvs_tp) - associate (npl => pl%nbody, ntp => tp%nbody) - do i = 1, npl - if (pl%nenc(i) == 0) cycle - ! There are inner encounters with this planet - if (allocated(encmask)) deallocate(encmask) - allocate(encmask(ntp)) - encmask(:) = tp%plencP(:) == i - allocate(rmvs_tp :: pl%planetocentric(i)%tp) - ! Create encountering test particle structure - select type(cbenci => pl%planetocentric(i)%cb) - class is (rmvs_cb) - select type(plenci => pl%planetocentric(i)%pl) - class is (rmvs_pl) - select type(tpenci => pl%planetocentric(i)%tp) - class is (rmvs_tp) - tpenci%lplanetocentric = .true. - call tpenci%setup(pl%nenc(i)) - tpenci%cb_heliocentric = cb - tpenci%ipleP = i - tpenci%status(:) = ACTIVE - ! Grab all the encountering test particles and convert them to a planetocentric frame - tpenci%name(:) = pack(tp%name(:), encmask(:)) - do j = 1, NDIM - tpenci%xheliocentric(j, :) = pack(tp%xh(j,:), encmask(:)) - tpenci%xh(j, :) = tpenci%xheliocentric(j, :) - pl%inner(0)%x(j, i) - tpenci%vh(j, :) = pack(tp%vh(j,:), encmask(:)) - pl%inner(0)%v(j, i) - end do - tpenci%lperi(:) = pack(tp%lperi(:), encmask(:)) - tpenci%plperP(:) = pack(tp%plperP(:), encmask(:)) - ! Make sure that the test particles get the planetocentric value of mu - allocate(cbenci%inner(0:NTPHENC)) - do inner_index = 0, NTPHENC - allocate(plenci%inner(inner_index)%x, mold=pl%inner(inner_index)%x) - allocate(plenci%inner(inner_index)%v, mold=pl%inner(inner_index)%x) - allocate(plenci%inner(inner_index)%aobl, mold=pl%inner(inner_index)%aobl) - allocate(cbenci%inner(inner_index)%x(NDIM,1)) - allocate(cbenci%inner(inner_index)%v(NDIM,1)) - allocate(cbenci%inner(inner_index)%aobl(NDIM,1)) - cbenci%inner(inner_index)%x(:,1) = pl%inner(inner_index)%x(:, i) - cbenci%inner(inner_index)%v(:,1) = pl%inner(inner_index)%v(:, i) - cbenci%inner(inner_index)%aobl(:,1) = pl%inner(inner_index)%aobl(:, i) - plenci%inner(inner_index)%x(:,1) = -cbenci%inner(inner_index)%x(:,1) - plenci%inner(inner_index)%v(:,1) = -cbenci%inner(inner_index)%v(:,1) - do j = 2, npl - ipc2hc = plenci%plind(j) - plenci%inner(inner_index)%x(:,j) = pl%inner(inner_index)%x(:, ipc2hc) - cbenci%inner(inner_index)%x(:,1) - plenci%inner(inner_index)%v(:,j) = pl%inner(inner_index)%v(:, ipc2hc) - cbenci%inner(inner_index)%v(:,1) - end do - end do - call tpenci%set_mu(cbenci) - end select - end select - end select - end do - end associate - end select - end select - end select - return - end subroutine rmvs_make_planetocentric - - subroutine rmvs_end_planetocentric(system) + subroutine rmvs_end_planetocentric(pl, tp) !! author: David A. Minton !! !! Deallocates all of the encountering particle data structures for next time !! implicit none ! Arguments - class(rmvs_nbody_system), intent(inout) :: system !! RMVS nbody system object + class(rmvs_pl), intent(inout) :: pl !! RMVS massive body object + class(rmvs_tp), intent(inout) :: tp !! RMVS test particle objec ! Internals integer(I4B) :: i, j, inner_index integer(I4B), dimension(:), allocatable :: tpind logical, dimension(:), allocatable :: encmask - select type(cb => system%cb) - class is (rmvs_cb) - select type(pl => system%pl) - class is (rmvs_pl) - select type (tp => system%tp) - class is (rmvs_tp) - associate (npl => pl%nbody, ntp => tp%nbody) - do i = 1, npl - if (pl%nenc(i) == 0) cycle - select type(cbenci => pl%planetocentric(i)%cb) - class is (rmvs_cb) - select type(plenci => pl%planetocentric(i)%pl) - class is (rmvs_pl) - select type(tpenci => pl%planetocentric(i)%tp) - class is (rmvs_tp) - if (allocated(tpind)) deallocate(tpind) - allocate(tpind(pl%nenc(i))) - ! Index array of encountering test particles - if (allocated(encmask)) deallocate(encmask) - allocate(encmask(ntp)) - encmask(:) = tp%plencP(:) == i - tpind(:) = pack([(j,j=1,ntp)], encmask(:)) - - ! Copy the results of the integration back over and shift back to heliocentric reference - tp%status(tpind(1:pl%nenc(i))) = tpenci%status(1:pl%nenc(i)) - do j = 1, NDIM - tp%xh(j, tpind(1:pl%nenc(i))) = tpenci%xh(j,1:pl%nenc(i)) + pl%inner(NTPHENC)%x(j, i) - tp%vh(j, tpind(1:pl%nenc(i))) = tpenci%vh(j,1:pl%nenc(i)) + pl%inner(NTPHENC)%v(j, i) - end do - tp%lperi(tpind(1:pl%nenc(i))) = tpenci%lperi(tpind(1:pl%nenc(i))) - tp%plperP(tpind(1:pl%nenc(i))) = tpenci%plperP(tpind(1:pl%nenc(i))) - deallocate(pl%planetocentric(i)%tp) - deallocate(cbenci%inner) - do inner_index = 0, NTPHENC - deallocate(plenci%inner(inner_index)%x) - deallocate(plenci%inner(inner_index)%v) - deallocate(plenci%inner(inner_index)%aobl) - end do - end select - end select - end select - end do - end associate + associate (npl => pl%nbody, ntp => tp%nbody) + do i = 1, npl + if (pl%nenc(i) == 0) cycle + select type(cbenci => pl%planetocentric(i)%cb) + class is (rmvs_cb) + select type(plenci => pl%planetocentric(i)%pl) + class is (rmvs_pl) + select type(tpenci => pl%planetocentric(i)%tp) + class is (rmvs_tp) + if (allocated(tpind)) deallocate(tpind) + allocate(tpind(pl%nenc(i))) + ! Index array of encountering test particles + if (allocated(encmask)) deallocate(encmask) + allocate(encmask(ntp)) + encmask(:) = tp%plencP(:) == i + tpind(:) = pack([(j,j=1,ntp)], encmask(:)) + + ! Copy the results of the integration back over and shift back to heliocentric reference + tp%status(tpind(1:pl%nenc(i))) = tpenci%status(1:pl%nenc(i)) + do j = 1, NDIM + tp%xh(j, tpind(1:pl%nenc(i))) = tpenci%xh(j,1:pl%nenc(i)) + pl%inner(NTPHENC)%x(j, i) + tp%vh(j, tpind(1:pl%nenc(i))) = tpenci%vh(j,1:pl%nenc(i)) + pl%inner(NTPHENC)%v(j, i) + end do + tp%lperi(tpind(1:pl%nenc(i))) = tpenci%lperi(1:pl%nenc(i)) + tp%plperP(tpind(1:pl%nenc(i))) = tpenci%plperP(1:pl%nenc(i)) + deallocate(pl%planetocentric(i)%tp) + deallocate(cbenci%inner) + do inner_index = 0, NTPHENC + deallocate(plenci%inner(inner_index)%x) + deallocate(plenci%inner(inner_index)%v) + deallocate(plenci%inner(inner_index)%aobl) + end do + end select + end select end select - end select - end select + end do + end associate return end subroutine rmvs_end_planetocentric diff --git a/src/setup/setup.f90 b/src/setup/setup.f90 index 03fd6f0f0..0f16e7c5b 100644 --- a/src/setup/setup.f90 +++ b/src/setup/setup.f90 @@ -15,7 +15,6 @@ module subroutine setup_construct_system(system, param) case (BS) write(*,*) 'Bulirsch-Stoer integrator not yet enabled' case (HELIO) - write(*,*) 'Democratic Heliocentric integrator not yet enabled' allocate(helio_nbody_system :: system) select type(system) class is (helio_nbody_system) @@ -70,6 +69,7 @@ module subroutine setup_body(self,n) self%nbody = n if (n <= 0) return + self%lfirst = .true. !write(*,*) 'Allocating the basic Swiftest particle' allocate(self%name(n)) @@ -174,79 +174,4 @@ module subroutine setup_tp(self, n) return end subroutine setup_tp - module subroutine setup_set_msys(self) - !! author: David A. Minton - !! - !! Sets the value of msys and the vector mass quantities based on the total mass of the system - implicit none - class(swiftest_nbody_system), intent(inout) :: self !! Swiftest system objec - self%msys = self%cb%mass + sum(self%pl%mass(1:self%pl%nbody)) - - return - end subroutine setup_set_msys - - module subroutine setup_set_mu_pl(self, cb) - !! author: David A. Minton - !! - !! Computes G * (M + m) for each massive body - implicit none - class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object - class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object - - if (self%nbody > 0) self%mu(:) = cb%Gmass + self%Gmass(:) - - return - end subroutine setup_set_mu_pl - - module subroutine setup_set_mu_tp(self, cb) - !! author: David A. Minton - !! - !! Converts certain scalar values to arrays so that they can be used in elemental functions - implicit none - class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object - class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object - - if (self%nbody > 0) self%mu(:) = cb%Gmass - - return - end subroutine setup_set_mu_tp - - module subroutine setup_set_rhill(self,cb) - !! author: David A. Minton - !! - !! Sets the value of the Hill's radius - implicit none - class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object - class(swiftest_cb), intent(inout) :: cb !! Swiftest massive body object - - if (self%nbody > 0) then - call self%xv2el(cb) - self%rhill(:) = self%a(:) * (self%Gmass(:) / cb%Gmass / 3)**THIRD - end if - - return - end subroutine setup_set_rhill - - module subroutine setup_set_ir3h(self) - !! author: David A. Minton - !! - !! Sets the inverse heliocentric radius term (1/rh**3) for all bodies in a structure - implicit none - class(swiftest_body), intent(inout) :: self !! Swiftest generic body object - - integer(I4B) :: i - real(DP) :: r2, irh - - if (self%nbody > 0) then - - do i = 1, self%nbody - r2 = dot_product(self%xh(:, i), self%xh(:, i)) - irh = 1.0_DP / sqrt(r2) - self%ir3h(i) = irh / r2 - end do - end if - - return - end subroutine setup_set_ir3h - end submodule s_setup diff --git a/src/symba/symba_helio_getacch.f90 b/src/symba/symba_helio_getacch.f90 index 65d2171f8..6d69de2b9 100644 --- a/src/symba/symba_helio_getacch.f90 +++ b/src/symba/symba_helio_getacch.f90 @@ -19,7 +19,7 @@ ! executable code if (lflag) then do i = 2, npl - helio_plA%ahi(:,i) = (/ 0.0_DP, 0.0_DP, 0.0_DP /) + helio_plA%ah(:,i) = (/ 0.0_DP, 0.0_DP, 0.0_DP /) end do call symba_helio_getacch_int(npl, nplm, helio_plA) end if @@ -35,11 +35,11 @@ end do call obl_acc(helio_plA, param%j2rp2, param%j4rp4, xh, irh, aobl) do i = 2, npl - helio_plA%ah(:,i) = helio_plA%ahi(:,i) + aobl(:, i) - aobl(:, 1) + helio_plA%ah(:,i) = helio_plA%ah(:,i) + aobl(:, i) - aobl(:, 1) end do else do i = 2, npl - helio_plA%ah(:,i) = helio_plA%ahi(:,i) + helio_plA%ah(:,i) = helio_plA%ah(:,i) end do end if if (lextra_force) call helio_user_getacch(t, npl, helio_plA) diff --git a/src/symba/symba_helio_getacch_int.f90 b/src/symba/symba_helio_getacch_int.f90 index 718f4b189..8093c48d7 100644 --- a/src/symba/symba_helio_getacch_int.f90 +++ b/src/symba/symba_helio_getacch_int.f90 @@ -21,8 +21,8 @@ irij3 = 1.0_DP/(rji2*sqrt(rji2)) faci = helio_plA%swiftest%mass(i)*irij3 facj = helio_plA%swiftest%mass(j)*irij3 - helio_plA%ahi(:,i) = helio_plA%ahi(:,i) + facj*dx(:) - helio_plA%ahi(:,j) = helio_plA%ahi(:,j) - faci*dx(:) + helio_plA%ah(:,i) = helio_plA%ah(:,i) + facj*dx(:) + helio_plA%ah(:,j) = helio_plA%ah(:,j) - faci*dx(:) end do end do return diff --git a/src/symba/symba_step_helio.f90 b/src/symba/symba_step_helio.f90 index 54803c97e..3d3284c0a 100644 --- a/src/symba/symba_step_helio.f90 +++ b/src/symba/symba_step_helio.f90 @@ -9,14 +9,14 @@ use swiftest implicit none logical :: lfirsttp - real(DP), dimension(NDIM) :: ptb, pte + real(DP), dimension(NDIM) :: ptbeg, ptend real(DP), dimension(npl, NDIMm) :: xbeg, xend ! executable code lfirsttp = lfirst - call symba_step_helio_pl(lfirst, lextra_force, t, npl, nplm, param%nplmax, helio_plA, param%j2rp2, param%j4rp4, dt, xbeg, xend, ptb, pte) + call symba_step_helio_pl(lfirst, lextra_force, t, npl, nplm, param%nplmax, helio_plA, param%j2rp2, param%j4rp4, dt, xbeg, xend, ptbeg, ptend) if (ntp > 0) call helio_step_tp(lfirsttp, lextra_force, t, nplm, param%nplmax, ntp, param%ntpmax, helio_plA, helio_tpA, param%j2rp2, param%j4rp4, & - dt, xbeg, xend, ptb, pte) + dt, xbeg, xend, ptbeg, ptend) return diff --git a/src/symba/symba_step_helio_pl.f90 b/src/symba/symba_step_helio_pl.f90 index bf6dd412f..bcf2cfc40 100644 --- a/src/symba/symba_step_helio_pl.f90 +++ b/src/symba/symba_step_helio_pl.f90 @@ -23,7 +23,7 @@ lfirst = .false. end if - call helio_lindrift(npl, helio_plA%swiftest, dth, ptb) + call helio_lindrift(npl, helio_plA%swiftest, dth, ptbeg) call symba_helio_getacch(lflag, lextra_force, t, npl, nplm, param%nplmax, helio_plA, param%j2rp2, param%j4rp4) lflag = .true. @@ -42,7 +42,7 @@ call helio_kickvb(npl, helio_plA, dth) - call helio_lindrift(npl, helio_plA%swiftest, dth, pte) + call helio_lindrift(npl, helio_plA%swiftest, dth, ptend) call coord_vb2vh(npl, helio_plA%swiftest) diff --git a/src/symba/symba_step_interp.f90 b/src/symba/symba_step_interp.f90 index b9832ab53..7ec056ec8 100644 --- a/src/symba/symba_step_interp.f90 +++ b/src/symba/symba_step_interp.f90 @@ -13,7 +13,7 @@ logical , save :: lmalloc = .true. integer( I4B) :: i, irec real(DP) :: dth, msys - real(DP), dimension(NDIM) :: ptb, pte + real(DP), dimension(NDIM) :: ptbeg, ptend real(DP), dimension(:, :), allocatable, save :: xbeg, xend ! executable code @@ -26,10 +26,10 @@ call coord_vh2vb(npl, symba_plA, msys) - call helio_lindrift(npl, symba_plA, dth, ptb) + call helio_lindrift(npl, symba_plA, dth, ptbeg) if (ntp > 0) then - call coord_vh2vb_tp(ntp, symba_tpA, -ptb) - call helio_lindrift_tp(ntp, symba_tpA, dth, ptb) + call coord_vh2vb_tp(ntp, symba_tpA, -ptbeg) + call helio_lindrift_tp(ntp, symba_tpA, dth, ptbeg) do i = 2, npl xbeg(:, i) = symba_plA%xh(:,i) end do @@ -61,10 +61,10 @@ call helio_kickvb(npl, symba_plA, dth) if (ntp > 0) call helio_kickvb_tp(ntp, symba_tpA, dth) call coord_vb2vh(npl, symba_plA) - call helio_lindrift(npl, symba_plA, dth, pte) + call helio_lindrift(npl, symba_plA, dth, ptend) if (ntp > 0) then - call coord_vb2vh_tp(ntp, symba_tpA, -pte) - call helio_lindrift_tp(ntp, symba_tpA, dth, pte) + call coord_vb2vh_tp(ntp, symba_tpA, -ptend) + call helio_lindrift_tp(ntp, symba_tpA, dth, ptend) end if return diff --git a/src/symba/symba_step_interp_eucl.f90 b/src/symba/symba_step_interp_eucl.f90 index 9250e87f2..2036ae9aa 100644 --- a/src/symba/symba_step_interp_eucl.f90 +++ b/src/symba/symba_step_interp_eucl.f90 @@ -12,7 +12,7 @@ logical , save :: lmalloc = .true. integer(I4B) :: i, irec real(DP) :: dth, msys - real(DP), dimension(NDIM) :: ptb, pte + real(DP), dimension(NDIM) :: ptbeg, ptend real(DP), dimension(:, :), allocatable, save :: xbeg, xend ! executable code @@ -25,10 +25,10 @@ call coord_vh2vb(npl, symba_plA, msys) - call helio_lindrift(npl, symba_plA, dth, ptb) + call helio_lindrift(npl, symba_plA, dth, ptbeg) if (ntp > 0) then - call coord_vh2vb_tp(ntp, symba_tpA, -ptb) - call helio_lindrift_tp(ntp, symba_tpA, dth, ptb) + call coord_vh2vb_tp(ntp, symba_tpA, -ptbeg) + call helio_lindrift_tp(ntp, symba_tpA, dth, ptbeg) do i = 2, npl xbeg(:, i) = symba_plA%xh(:,i) end do @@ -61,10 +61,10 @@ call helio_kickvb(npl, symba_plA, dth) if (ntp > 0) call helio_kickvb_tp(ntp, symba_tpA, dth) call coord_vb2vh(npl, symba_plA) - call helio_lindrift(npl, symba_plA, dth, pte) + call helio_lindrift(npl, symba_plA, dth, ptend) if (ntp > 0) then - call coord_vb2vh_tp(ntp, symba_tpA, -pte) - call helio_lindrift_tp(ntp, symba_tpA, dth, pte) + call coord_vb2vh_tp(ntp, symba_tpA, -ptend) + call helio_lindrift_tp(ntp, symba_tpA, dth, ptend) end if return diff --git a/src/user/user_getacch.f90 b/src/user/user_getacch.f90 index da3d00578..c54c21693 100644 --- a/src/user/user_getacch.f90 +++ b/src/user/user_getacch.f90 @@ -1,10 +1,10 @@ submodule(swiftest_classes) s_user_getacch use swiftest contains - module subroutine user_getacch_body(self, system, param, t) + module subroutine user_getacch_body(self, system, param, t, lbeg) !! author: David A. Minton !! - !! Add user-supplied heliocentric accelerations to planets + !! Add user-supplied heliocentric accelerations to planets. !! !! Adapted from David E. Kaufmann's Swifter routine whm_user_getacch.f90 implicit none @@ -13,6 +13,7 @@ module subroutine user_getacch_body(self, system, param, t) class(swiftest_nbody_system), intent(inout) :: system !! Swiftest nbody_system_object class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of user parameters real(DP), intent(in) :: t !! Current time + logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the ste return end subroutine user_getacch_body diff --git a/src/util/util_coord.f90 b/src/util/util_coord.f90 index f1c39b203..387fc8f6b 100644 --- a/src/util/util_coord.f90 +++ b/src/util/util_coord.f90 @@ -15,16 +15,22 @@ module subroutine util_coord_h2b_pl(self, cb) ! Internals integer(I4B) :: i real(DP) :: msys + real(DP), dimension(NDIM) :: xtmp, vtmp - associate(npl => self%nbody, xbcb => cb%xb, vbcb => cb%vb, Mcb => cb%Gmass, & - xb => self%xb, xh => self%xh, vb => self%vb, vh => self%vh, Mpl => self%Gmass) - - msys = Mcb + sum(Mpl(1:npl)) - do i = 1, NDIM - xbcb(i) = -sum(Mpl(1:npl) * xh(i, 1:npl)) / Mcb - vbcb(i) = -sum(Mpl(1:npl) * vh(i, 1:npl)) / Mcb - xb(i, 1:npl) = xh(i, 1:npl) + xbcb(i) - vb(i, 1:npl) = vh(i, 1:npl) + vbcb(i) + associate(pl => self, npl => self%nbody) + msys = cb%Gmass + xtmp(:) = 0.0_DP + vtmp(:) = 0.0_DP + do i = 1, npl + msys = msys + pl%Gmass(i) + xtmp(:) = xtmp(:) + pl%Gmass(i) * pl%xh(:,i) + vtmp(:) = vtmp(:) + pl%Gmass(i) * pl%vh(:,i) + end do + cb%xb(:) = -xtmp(:) / msys + cb%vb(:) = -vtmp(:) / msys + do i = 1, npl + pl%xb(:,i) = pl%xh(:,i) + cb%xb(:) + pl%vb(:,i) = pl%vh(:,i) + cb%vb(:) end do end associate diff --git a/src/util/util_get_energy_and_momentum.f90 b/src/util/util_get.f90 similarity index 100% rename from src/util/util_get_energy_and_momentum.f90 rename to src/util/util_get.f90 diff --git a/src/util/util_set.f90 b/src/util/util_set.f90 new file mode 100644 index 000000000..b77579de1 --- /dev/null +++ b/src/util/util_set.f90 @@ -0,0 +1,123 @@ +submodule(swiftest_classes) s_util_set + !! author: David A. Minton + !! This submodule contains a collection of setter method implementations + use swiftest +contains + + module subroutine util_set_beg_end_cb(self, aoblbeg, aoblend) + !! author: David A. Minton + !! + !! Sets one or more of the values of aoblbeg and aoblend + implicit none + ! Arguments + class(swiftest_cb), intent(inout) :: self !! Swiftest central body object + real(DP), dimension(:), intent(in), optional :: aoblbeg !! Oblateness acceleration term at beginning of step + real(DP), dimension(:), intent(in), optional :: aoblend !! Oblateness acceleration term at end of step + + if (present(aoblbeg)) self%aoblbeg = aoblbeg + if (present(aoblend)) self%aoblend = aoblend + return + + end subroutine util_set_beg_end_cb + + module subroutine util_set_beg_end_pl(self, xbeg, xend, vbeg) + !! author: David A. Minton + !! + !! Sets one or more of the values of xbeg, xend, and vbeg + implicit none + ! Arguments + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + real(DP), dimension(:,:), intent(in), optional :: xbeg, xend, vbeg + + if (present(xbeg)) then + if (allocated(self%xbeg)) deallocate(self%xbeg) + allocate(self%xbeg, source=xbeg) + end if + if (present(xend)) then + if (allocated(self%xend)) deallocate(self%xend) + allocate(self%xend, source=xend) + end if + if (present(vbeg)) then + if (allocated(self%vbeg)) deallocate(self%vbeg) + allocate(self%vbeg, source=vbeg) + end if + + return + + end subroutine util_set_beg_end_pl + + module subroutine util_set_msys(self) + !! author: David A. Minton + !! + !! Sets the value of msys and the vector mass quantities based on the total mass of the system + implicit none + class(swiftest_nbody_system), intent(inout) :: self !! Swiftest system objec + self%msys = self%cb%mass + sum(self%pl%mass(1:self%pl%nbody)) + + return + end subroutine util_set_msys + + module subroutine util_set_mu_pl(self, cb) + !! author: David A. Minton + !! + !! Computes G * (M + m) for each massive body + implicit none + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object + + if (self%nbody > 0) self%mu(:) = cb%Gmass + self%Gmass(:) + + return + end subroutine util_set_mu_pl + + module subroutine util_set_mu_tp(self, cb) + !! author: David A. Minton + !! + !! Converts certain scalar values to arrays so that they can be used in elemental functions + implicit none + class(swiftest_tp), intent(inout) :: self !! Swiftest test particle object + class(swiftest_cb), intent(inout) :: cb !! Swiftest central body object + + if (self%nbody > 0) self%mu(:) = cb%Gmass + + return + end subroutine util_set_mu_tp + + module subroutine util_set_rhill(self,cb) + !! author: David A. Minton + !! + !! Sets the value of the Hill's radius + implicit none + class(swiftest_pl), intent(inout) :: self !! Swiftest massive body object + class(swiftest_cb), intent(inout) :: cb !! Swiftest massive body object + + if (self%nbody > 0) then + call self%xv2el(cb) + self%rhill(:) = self%a(:) * (self%Gmass(:) / cb%Gmass / 3)**THIRD + end if + + return + end subroutine util_set_rhill + + module subroutine util_set_ir3h(self) + !! author: David A. Minton + !! + !! Sets the inverse heliocentric radius term (1/rh**3) for all bodies in a structure + implicit none + class(swiftest_body), intent(inout) :: self !! Swiftest generic body object + + integer(I4B) :: i + real(DP) :: r2, irh + + if (self%nbody > 0) then + + do i = 1, self%nbody + r2 = dot_product(self%xh(:, i), self%xh(:, i)) + irh = 1.0_DP / sqrt(r2) + self%ir3h(i) = irh / r2 + end do + end if + + return + end subroutine util_set_ir3h +end submodule s_util_set \ No newline at end of file diff --git a/src/whm/whm_getacch.f90 b/src/whm/whm_getacch.f90 index 67ecc7487..26a3acb19 100644 --- a/src/whm/whm_getacch.f90 +++ b/src/whm/whm_getacch.f90 @@ -1,7 +1,7 @@ submodule(whm_classes) s_whm_getacch use swiftest contains - module subroutine whm_getacch_pl(self, system, param, t) + module subroutine whm_getacch_pl(self, system, param, t, lbeg) !! author: David A. Minton !! !! Compute heliocentric accelerations of planets @@ -14,6 +14,7 @@ module subroutine whm_getacch_pl(self, system, param, t) class(swiftest_nbody_system), intent(inout) :: system !! Swiftest central body particle data structure class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of real(DP), intent(in) :: t !! Current time + logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the step ! Internals integer(I4B) :: i real(DP), dimension(NDIM) :: ah0 @@ -31,15 +32,19 @@ module subroutine whm_getacch_pl(self, system, param, t) call whm_getacch_ah2(cb, pl) call whm_getacch_ah3(pl) - if (param%loblatecb) call pl%obl_acc(cb) - if (param%lextra_force) call pl%user_getacch(system, param, t) - if (param%lgr) call pl%gr_getacch(param) + if (param%loblatecb) then + cb%aoblbeg = cb%aobl + call pl%accel_obl(system) + cb%aoblend = cb%aobl + end if + if (param%lextra_force) call pl%accel_user(system, param, t) + if (param%lgr) call pl%accel_gr(param) end associate return end subroutine whm_getacch_pl - module subroutine whm_getacch_tp(self, system, param, t, xhp) + module subroutine whm_getacch_tp(self, system, param, t, lbeg) !! author: David A. Minton !! !! Compute heliocentric accelerations of test particles @@ -52,22 +57,30 @@ module subroutine whm_getacch_tp(self, system, param, t, xhp) class(swiftest_nbody_system), intent(inout) :: system !! Swiftest central body particle data structure class(swiftest_parameters), intent(in) :: param !! Current run configuration parameters of real(DP), intent(in) :: t !! Current time - real(DP), dimension(:,:), intent(in) :: xhp !! Heliocentric positions of planets at the current substep + logical, optional, intent(in) :: lbeg !! Optional argument that determines whether or not this is the beginning or end of the step ! Internals integer(I4B) :: i real(DP), dimension(NDIM) :: ah0 + real(DP), dimension(:,:), allocatable :: xhp associate(tp => self, ntp => self%nbody, pl => system%pl, cb => system%cb, npl => system%pl%nbody) if (ntp == 0 .or. npl == 0) return + if (present(lbeg)) system%lbeg = lbeg + + if (system%lbeg) then + allocate(xhp, source=pl%xbeg) + else + allocate(xhp, source=pl%xend) + end if ah0(:) = whm_getacch_ah0(pl%Gmass(:), xhp(:,:), npl) do i = 1, ntp tp%ah(:, i) = ah0(:) end do call whm_getacch_ah3_tp(system, xhp) - if (param%loblatecb) call tp%obl_acc(cb) - if (param%lextra_force) call tp%user_getacch(system, param, t) - if (param%lgr) call tp%gr_getacch(param) + if (param%loblatecb) call tp%accel_obl(system) + if (param%lextra_force) call tp%accel_user(system, param, t) + if (param%lgr) call tp%accel_gr(param) end associate return end subroutine whm_getacch_tp diff --git a/src/whm/whm_setup.f90 b/src/whm/whm_setup.f90 index e0812d00d..9598b61ea 100644 --- a/src/whm/whm_setup.f90 +++ b/src/whm/whm_setup.f90 @@ -47,7 +47,7 @@ module subroutine whm_setup_tp(self,n) return end subroutine whm_setup_tp - module subroutine whm_setup_set_mu_eta_pl(self, cb) + module subroutine whm_util_set_mu_eta_pl(self, cb) !! author: David A. Minton !! !! Sets the Jacobi mass value eta for all massive bodies @@ -61,7 +61,7 @@ module subroutine whm_setup_set_mu_eta_pl(self, cb) associate(pl => self, npl => self%nbody, GMpl => self%Gmass, muj => self%muj, & eta => self%eta, GMcb => cb%Gmass) if (npl == 0) return - call setup_set_mu_pl(pl, cb) + call util_set_mu_pl(pl, cb) eta(1) = GMcb + GMpl(1) muj(1) = eta(1) do i = 2, npl @@ -70,12 +70,12 @@ module subroutine whm_setup_set_mu_eta_pl(self, cb) end do end associate - end subroutine whm_setup_set_mu_eta_pl + end subroutine whm_util_set_mu_eta_pl module subroutine whm_setup_system(self, param) !! author: David A. Minton !! - !! Wrapper method to initialize a basic Swiftest nbody system from files + !! Initialize a WHM nbody system from files !! implicit none ! Arguments @@ -89,7 +89,7 @@ module subroutine whm_setup_system(self, param) select type(pl => self%pl) class is (whm_pl) call pl%set_mu(self%cb) - if (param%lgr) call pl%gr_vh2pv(param) + if (param%lgr) call pl%vh2pv(param) !call pl%eucl_index() end select end if @@ -98,7 +98,7 @@ module subroutine whm_setup_system(self, param) select type(tp => self%tp) class is (whm_tp) call tp%set_mu(self%cb) - if (param%lgr) call tp%gr_vh2pv(param) + if (param%lgr) call tp%vh2pv(param) end select end if @@ -127,27 +127,4 @@ module subroutine whm_setup_set_ir3j(self) end if end subroutine whm_setup_set_ir3j - module subroutine whm_setup_set_beg_end(self, xbeg, xend, vbeg) - !! author: David A. Minton - !! - !! Sets one or more of the values of xbeg and xend - implicit none - ! Arguments - class(whm_nbody_system), intent(inout) :: self !! WHM nbody system object - real(DP), dimension(:,:), intent(in), optional :: xbeg, xend - real(DP), dimension(:,:), intent(in), optional :: vbeg ! vbeg is an unused variable to keep this method forward compatible with RMVS - - if (present(xbeg)) then - if (allocated(self%xbeg)) deallocate(self%xbeg) - allocate(self%xbeg, source=xbeg) - end if - if (present(xend)) then - if (allocated(self%xend)) deallocate(self%xend) - allocate(self%xend, source=xend) - end if - - return - - end subroutine whm_setup_set_beg_end - end submodule s_whm_setup \ No newline at end of file diff --git a/src/whm/whm_step.f90 b/src/whm/whm_step.f90 index 8e87796ea..fb84fe49e 100644 --- a/src/whm/whm_step.f90 +++ b/src/whm/whm_step.f90 @@ -16,14 +16,10 @@ module subroutine whm_step_system(self, param, t, dt) real(DP), intent(in) :: t !! Current simulation time real(DP), intent(in) :: dt !! Current stepsize - associate(system => self, cb => self%cb, pl => self%pl, tp => self%tp, ntp => self%tp%nbody, npl => self%pl%nbody) + associate(system => self, cb => self%cb, pl => self%pl, tp => self%tp, ntp => self%tp%nbody) call pl%set_rhill(cb) - call self%set_beg_end(xbeg = pl%xh) call pl%step(system, param, t, dt) - if (ntp > 0) then - call self%set_beg_end(xend = pl%xh) - call tp%step(system, param, t, dt) - end if + call tp%step(system, param, t, dt) end associate return end subroutine whm_step_system @@ -46,22 +42,25 @@ module subroutine whm_step_pl(self, system, param, t, dt) ! Internals real(DP) :: dth + if (self%nbody == 0) return + associate(pl => self, cb => system%cb) dth = 0.5_DP * dt if (pl%lfirst) then call pl%h2j(cb) - call pl%getacch(system, param, t) + call pl%accel(system, param, t) pl%lfirst = .false. end if - call pl%kickvh(dth) + call pl%set_beg_end(xbeg = pl%xh) + call pl%kick(dth) call pl%vh2vj(cb) - !If GR enabled, calculate the p4 term before and after each drift - if (param%lgr) call pl%gr_p4(param, dth) + if (param%lgr) call pl%p4(param, dth) call pl%drift(system, param, dt) - if (param%lgr) call pl%gr_p4(param, dth) + if (param%lgr) call pl%p4(param, dth) call pl%j2h(cb) - call pl%getacch(system, param, t + dt) - call pl%kickvh(dth) + call pl%accel(system, param, t + dt) + call pl%kick(dth) + call pl%set_beg_end(xend = pl%xh) end associate return end subroutine whm_step_pl @@ -83,21 +82,22 @@ module subroutine whm_step_tp(self, system, param, t, dt) ! Internals real(DP) :: dth + if (self%nbody == 0) return + select type(system) class is (whm_nbody_system) - associate(tp => self, cb => system%cb, pl => system%pl, xbeg => system%xbeg, xend => system%xend) + associate(tp => self, cb => system%cb, pl => system%pl) dth = 0.5_DP * dt if (tp%lfirst) then - call tp%getacch(system, param, t, xbeg) + call tp%accel(system, param, t, lbeg=.true.) tp%lfirst = .false. end if - call tp%kickvh(dth) - !If GR enabled, calculate the p4 term before and after each drift - if (param%lgr) call tp%gr_p4(param, dth) + call tp%kick(dth) + if (param%lgr) call tp%p4(param, dth) call tp%drift(system, param, dt) - if (param%lgr) call tp%gr_p4(param, dth) - call tp%getacch(system, param, t + dt, xend) - call tp%kickvh(dth) + if (param%lgr) call tp%p4(param, dth) + call tp%accel(system, param, t + dt, lbeg=.false.) + call tp%kick(dth) end associate end select return