testAdditionalForces.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import rebound\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---------------------------------\n",
      "REBOUND version:     \t2.13.10\n",
      "REBOUND built on:    \tApr  2 2016 12:38:43\n",
      "Number of particles: \t3\n",
      "Selected integrator: \tias15\n",
      "Simulation time:     \t0.000000\n",
      "Current timestep:    \t0.001000\n",
      "---------------------------------\n",
      "<rebound.Particle object, id=0 m=1.0 x=0.0 y=0.0 z=0.0 vx=0.0 vy=0.0 vz=0.0>\n",
      "<rebound.Particle object, id=0 m=3.04043264802e-06 x=-0.30906733255 y=-0.966078279443 z=3.72018216533e-05 vx=0.936270754933 vy=-0.308484956484 vz=7.27604888417e-06>\n",
      "<rebound.Particle object, id=0 m=0.0 x=-0.212570729701 y=-0.992315764813 z=3.72018216533e-05 vx=0.937717492981 vy=-0.303164122386 vz=7.27604888417e-06>\n",
      "---------------------------------\n"
     ]
    }
   ],
   "source": [
    "date = \"2020-01-01 12:00\"\n",
    "filename = 'cache.bin'\n",
    "\n",
    "sim = rebound.Simulation()#.from_file(filename)\n",
    "sim.add(m=1.)\n",
    "\n",
    "sim.add(m=3.04043264802e-06, x=-0.30906733255, y=-0.966078279443, z=3.72018216533e-05, vx=0.936270754933, vy=-0.308484956484, vz=7.27604888417e-06)\n",
    "sim.add(m=0, primary=sim.particles[1], a=0.1, Omega=3, )\n",
    "# sim.add(m=3.22715603755e-07, x=-0.578048405808, y=-1.3918843324, z=-0.0149811578049, vx=0.781913206607, vy=-0.242153284179, vz=-0.0242646152908)\n",
    "sim.status()\n",
    "\n",
    "\n",
    "\n",
    "sim.move_to_com()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---------------------------------\n",
      "REBOUND version:     \t2.13.10\n",
      "REBOUND built on:    \tApr  2 2016 12:38:43\n",
      "Number of particles: \t3\n",
      "Selected integrator: \tias15\n",
      "Simulation time:     \t0.000000\n",
      "Current timestep:    \t0.001000\n",
      "---------------------------------\n",
      "<rebound.Particle object, id=0 m=1.0 x=9.3969555124e-07 y=2.93728701074e-06 z=-1.13109289219e-10 vx=-2.84665951561e-06 vy=9.3792488142e-07 vz=-2.21222693148e-11>\n",
      "<rebound.Particle object, id=0 m=3.04043264802e-06 x=-0.309066392854 y=-0.966075342156 z=3.7201708544e-05 vx=0.936267908273 vy=-0.308484018559 vz=7.2760267619e-06>\n",
      "<rebound.Particle object, id=0 m=0.0 x=-0.212569790005 y=-0.992312827526 z=3.7201708544e-05 vx=0.937714646321 vy=-0.303163184461 vz=7.2760267619e-06>\n",
      "---------------------------------\n"
     ]
    }
   ],
   "source": [
    "sim.status()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from IPython.display import display, clear_output\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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hBKB/A7jLGzZQb8AAlNK3T5IQwrr0XsbXHziQS+vWmf35UkAfEk44/tTRHR+2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\n889L1BJgonRKIYWlLMEOO0YxxqxhSgA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rag2Aqn4DuAPkU+BTEflSRH4+bKULvcG0Y+88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\nkgVQY4wJ0v8B2UJOFzvebB0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110c19c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = rebound.OrbitPlot(sim, color=True, unitlabel=\"[AU]\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ps = sim.particles\n",
    "\n",
    "def starkForce(reb_sim):\n",
    "    ps[1].ax -= 0.00001\n",
    "    ps[1].ay -= 0.00001\n",
    "    ps[1].az -= 0.00001\n",
    "    \n",
    "    \n",
    "sim.additional_forces = starkForce"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "\n",
    "import numpy as np\n",
    "Nout = 1000\n",
    "es = np.zeros(Nout)\n",
    "times = np.linspace(0.,100.*2.*np.pi,Nout)\n",
    "\n",
    "for i in times:\n",
    "    print i\n",
    "    sim.integrate(i)\n",
    "    fig = rebound.OrbitPlot(sim,color=True,lim=5.0)\n",
    "    display(fig)\n",
    "    plt.close(fig)\n",
    "    clear_output(wait=True)\n",
    "    \n",
    "    e = sim.particles[0]\n",
    "    r = sim.particles[1]\n",
    "    s = sim.particles[2]\n",
    "    \n",
    "#     if (sum([e.vx,e.vy,e.vz]) + sum([s.vx,s.vy,s.vz])) < sum([r.vx,r.vy,r.vz]):\n",
    "#         print i,'reached'\n",
    "#         break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def starkForce(reb_sim): \n",
    "    ps[1].ax = 0\n",
    "    ps[1].ay = 0\n",
    "    ps[1].az = 0\n",
    "    \n",
    "    \n",
    "sim.additional_forces = starkForce\n",
    "\n",
    "for i in range(30):\n",
    "    print i\n",
    "    sim.integrate(sim.t+i*0.01)\n",
    "    fig = rebound.OrbitPlot(sim,color=True)\n",
    "    display(fig)\n",
    "    plt.close(fig)\n",
    "    clear_output(wait=True)\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sim.status() # sim.add(m=, x=,y=,z=,vx,vy,vz)\n",
    "\n",
    "# sim.add('Mars')\n",
    "# sim.add('Earth')\n",
    "# # sim.add(m=0.1e-25, x=-0.33, y=-0.96, z=-0.000125753391114,vx=0.0005 ,vy=-0.0001, vz=0.0001)\n",
    "# sim.add(m=0.1e-25, x=-0.320858168504, y=-0.958349840955, z=-0.000125753391114, vx=0.1e-20, vy=0.1e-20, vz=0.1e-20)\n",
    "\n",
    "# sim.add('Venus')\n",
    "# sim.add('Mercury')\n",
    "# sim.add('Sun')\n",
    "\n",
    "\n",
    "# <rebound.Particle object, id=0 m=3.04043264802e-06 x=-0.309066858543 y=-0.96607648127 z=3.72279235517e-05 vx=0.000671075507111 vy=-0.000221107948802 vz=5.10330257704e-09>\n",
    "# <rebound.Particle object, id=0 m=1e-26 x=-0.320857694497 y=-0.958348042783 z=-0.000125727289216 vx=-4.16653226024e-10 vy=-8.43837026257e-11 vz=-1.11835459231e-10>\n",
    "# <rebound.Particle object, id=0 m=1.0 x=4.74006646667e-07 y=1.7981724573e-06 z=2.61018984094e-08 vx=-4.16653226025e-10 vy=-8.43837026267e-11 vz=-1.11835459232e-10>\n",
    "# <rebound.Particle object, id=0 m=1.66011415305e-07 x=0.200253924024 y=-0.388734660017 z=-0.050135739756 vx=0.000807661722459 vy=0.000595200274193 vz=-2.54623540704e-05>\n",
    "# <rebound.Particle object, id=0 m=2.44783828778e-06 x=0.252872493057 y=0.675222145421 z=-0.00533423200054 vx=-0.000791984573594 vy=0.000291624429835 vz=4.97008378502e-05>\n",
    "# <rebound.Particle object, id=0 m=3.22715603755e-07 x=-0.578047931801 y=-1.39188253423 z=-0.014981131703 vx=0.000560439097945 vy=-0.000173564449197 vz=-1.73918748861e-05>\n",
    "\n",
    "\n",
    "# sim.units = ('hr', 'AU', 'msun') # time, length, mass\n",
    "# bodies = ['Sun','Mercury', 'Venus', 'Earth', 'Mars']\n",
    "# sim.add(bodies, date=date)   \n",
    "\n",
    "\n",
    "# 'Jupiter', 'Saturn', 'Uranus', 'Neptune', 'Pluto'\n",
    "# print sim.G  # the graviational constant\n",
    "# print sim.dt # timestep (will change for adaptive integrators such as IAS15).\n",
    "# print sim.t  # current simulation time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
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