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Renamed gr test python script and notebook
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daminton committed Dec 4, 2022
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176 changes: 176 additions & 0 deletions examples/helio_gr_test/helio_gr_test.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import swiftest\n",
"from astroquery.jplhorizons import Horizons\n",
"import datetime\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sim_gr = swiftest.Simulation(simdir=\"gr\")\n",
"sim_gr.add_solar_system_body([\"Sun\",\"Mercury\",\"Venus\",\"Earth\",\"Mars\",\"Jupiter\",\"Saturn\",\"Uranus\",\"Neptune\"])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sim_nogr = swiftest.Simulation(simdir=\"nogr\")\n",
"sim_nogr.add_solar_system_body([\"Sun\",\"Mercury\",\"Venus\",\"Earth\",\"Mars\",\"Jupiter\",\"Saturn\",\"Uranus\",\"Neptune\"])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"run_args = {\"tstop\":1000.0, \"dt\":0.005, \"tstep_out\":10.0, \"dump_cadence\": 0,\"integrator\":\"helio\"}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sim_gr.run(**run_args,general_relativity=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sim_nogr.run(**run_args,general_relativity=False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Get the start and end date of the simulation so we can compare with the real solar system\n",
"start_date = sim_gr.ephemeris_date\n",
"tstop_d = sim_gr.param['TSTOP'] * sim_gr.param['TU2S'] / swiftest.JD2S\n",
"\n",
"stop_date = (datetime.datetime.fromisoformat(start_date) + datetime.timedelta(days=tstop_d)).isoformat()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#Get the ephemerides of Mercury for the same timeframe as the simulation\n",
"obj = Horizons(id='1', location='@sun',\n",
" epochs={'start':start_date, 'stop':stop_date,\n",
" 'step':'10y'})\n",
"el = obj.elements()\n",
"t = (el['datetime_jd']-el['datetime_jd'][0]) / 365.25\n",
"varpi_obs = el['w'] + el['Omega']"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Compute the longitude of the periapsis\n",
"sim_gr.data['varpi'] = np.mod(sim_gr.data['omega'] + sim_gr.data['capom'],360)\n",
"sim_nogr.data['varpi'] = np.mod(sim_nogr.data['omega'] + sim_nogr.data['capom'],360)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"varpisim_gr= sim_gr.data['varpi'].sel(name=\"Mercury\")\n",
"varpisim_nogr= sim_nogr.data['varpi'].sel(name=\"Mercury\")\n",
"tsim = sim_gr.data['time']"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"dvarpi_gr = np.diff(varpisim_gr) * 3600 * 100 / run_args['tstep_out']\n",
"dvarpi_nogr = np.diff(varpisim_nogr) * 3600 * 100 / run_args['tstep_out']\n",
"dvarpi_obs = np.diff(varpi_obs) / np.diff(t) * 3600 * 100"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"fig, ax = plt.subplots()\n",
"\n",
"ax.plot(t, varpi_obs, label=\"JPL Horizons\",linewidth=2.5)\n",
"ax.plot(tsim, varpisim_gr, label=\"Swiftest helio GR\",linewidth=1.5)\n",
"ax.plot(tsim, varpisim_nogr, label=\"Swiftest helio No GR\",linewidth=1.5)\n",
"ax.set_xlabel('Time (y)')\n",
"ax.set_ylabel('Mercury $\\\\varpi$ (deg)')\n",
"ax.legend()\n",
"plt.savefig(\"helio_gr_mercury_precession.png\",dpi=300)\n",
"print('Mean precession rate for Mercury long. peri. (arcsec/100 y)')\n",
"print(f'JPL Horizons : {np.mean(dvarpi_obs)}')\n",
"print(f'Swiftest No GR : {np.mean(dvarpi_nogr)}')\n",
"print(f'Swiftest GR : {np.mean(dvarpi_gr)}')\n",
"print(f'Obs - Swiftest GR : {np.mean(dvarpi_obs - dvarpi_gr)}')\n",
"print(f'Obs - Swiftest No GR : {np.mean(dvarpi_obs - dvarpi_nogr)}')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python (My debug_env Kernel)",
"language": "python",
"name": "debug_env"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
60 changes: 60 additions & 0 deletions examples/helio_gr_test/helio_gr_test.py
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#!/usr/bin/env python
import swiftest
from astroquery.jplhorizons import Horizons
import datetime
import numpy as np
import matplotlib.pyplot as plt

sim_gr = swiftest.Simulation(simdir="gr")
sim_gr.add_solar_system_body(["Sun","Mercury","Venus","Earth","Mars","Jupiter","Saturn","Uranus","Neptune"])

sim_nogr = swiftest.Simulation(simdir="nogr")
sim_nogr.add_solar_system_body(["Sun","Mercury","Venus","Earth","Mars","Jupiter","Saturn","Uranus","Neptune"])

run_args = {"tstop":1000.0, "dt":0.005, "tstep_out":10.0, "dump_cadence": 0,"integrator":"helio"}

sim_gr.run(**run_args,general_relativity=True)
sim_nogr.run(**run_args,general_relativity=False)

# Get the start and end date of the simulation so we can compare with the real solar system
start_date = sim_gr.ephemeris_date
tstop_d = sim_gr.param['TSTOP'] * sim_gr.param['TU2S'] / swiftest.JD2S

stop_date = (datetime.datetime.fromisoformat(start_date) + datetime.timedelta(days=tstop_d)).isoformat()

#Get the ephemerides of Mercury for the same timeframe as the simulation
obj = Horizons(id='1', location='@sun',
epochs={'start':start_date, 'stop':stop_date,
'step':'10y'})
el = obj.elements()
t = (el['datetime_jd']-el['datetime_jd'][0]) / 365.25
varpi_obs = el['w'] + el['Omega']

# Compute the longitude of the periapsis
sim_gr.data['varpi'] = np.mod(sim_gr.data['omega'] + sim_gr.data['capom'],360)
sim_nogr.data['varpi'] = np.mod(sim_nogr.data['omega'] + sim_nogr.data['capom'],360)

varpisim_gr= sim_gr.data['varpi'].sel(name="Mercury")
varpisim_nogr= sim_nogr.data['varpi'].sel(name="Mercury")
tsim = sim_gr.data['time']

dvarpi_gr = np.diff(varpisim_gr) * 3600 * 100 / run_args['tstep_out']
dvarpi_nogr = np.diff(varpisim_nogr) * 3600 * 100 / run_args['tstep_out']
dvarpi_obs = np.diff(varpi_obs) / np.diff(t) * 3600 * 100

fig, ax = plt.subplots()

ax.plot(t, varpi_obs, label="JPL Horizons",linewidth=2.5)
ax.plot(tsim, varpisim_gr, label="Swiftest Helio GR",linewidth=1.5)
ax.plot(tsim, varpisim_nogr, label="Swiftest Helio No GR",linewidth=1.5)
ax.set_xlabel('Time (y)')
ax.set_ylabel('Mercury $\\varpi$ (deg)')
ax.legend()
plt.savefig("helio_gr_mercury_precession.png",dpi=300)

print('Mean precession rate for Mercury long. peri. (arcsec/100 y)')
print(f'JPL Horizons : {np.mean(dvarpi_obs)}')
print(f'Swiftest No GR : {np.mean(dvarpi_nogr)}')
print(f'Swiftest GR : {np.mean(dvarpi_gr)}')
print(f'Obs - Swiftest GR : {np.mean(dvarpi_obs - dvarpi_gr)}')
print(f'Obs - Swiftest No GR : {np.mean(dvarpi_obs - dvarpi_nogr)}')

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