cas.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "import csv\n",
    "import rebound\n",
    "import numpy as np\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import display, clear_output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Searching NASA Horizons for 'Sun'... Found: Sun (10).\n",
      "Searching NASA Horizons for 'Mercury'... Found: Mercury Barycenter (199).\n",
      "Searching NASA Horizons for 'Venus'... Found: Venus Barycenter (299).\n",
      "Searching NASA Horizons for 'Earth'... Found: Earth-Moon Barycenter (3).\n",
      "Searching NASA Horizons for 'Mars'... Found: Mars Barycenter (4).\n",
      "Searching NASA Horizons for 'Jupiter'... Found: Jupiter Barycenter (5).\n",
      "Searching NASA Horizons for 'Saturn'... Found: Saturn Barycenter (6).\n",
      "Searching NASA Horizons for 'Uranus'... Found: Uranus Barycenter (7).\n",
      "Searching NASA Horizons for 'Neptune'... Found: Neptune Barycenter (8).\n",
      "Searching NASA Horizons for 'Cassini'... Found: Cassini (spacecraft) (-82).\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/rebound/horizons.py:137: RuntimeWarning: Warning: Mass cannot be retrieved from NASA HORIZONS. Set to 0.\n",
      "  warnings.warn(\"Warning: Mass cannot be retrieved from NASA HORIZONS. Set to 0.\", RuntimeWarning)\n"
     ]
    }
   ],
   "source": [
    "sim = rebound.Simulation()\n",
    "choice_date1 = \"1997-10-16 13:00\"\n",
    "sim.add([\"Sun\", \"Mercury\", \"Venus\", \"Earth\", \"Mars\", \"Jupiter\", \"Saturn\", \"Uranus\", \"Neptune\", \"Cassini\"],date=choice_date1)\n",
    "sim.particles[-1].m = 2.873e-27\n",
    "sim.save(\"sim_bins/cas_ss.bin\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "sim = rebound.Simulation(\"sim_bins/cas_ss.bin\")\n",
    "sim.particles[-1].m = 2.873e-27\n",
    "sim.move_to_com()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "sun_x = []\n",
    "sun_y = []\n",
    "mer_x = []\n",
    "mer_y = []\n",
    "ven_x = []\n",
    "ven_y = []\n",
    "ear_x = []\n",
    "ear_y = []\n",
    "mar_x = []\n",
    "mar_y = []\n",
    "jup_x = []\n",
    "jup_y = []\n",
    "sat_x = []\n",
    "sat_y = []\n",
    "ura_x = []\n",
    "ura_y = []\n",
    "nep_x = []\n",
    "nep_y = []\n",
    "mas_x = []\n",
    "mas_y = []\n",
    "\n",
    "sim = rebound.Simulation(\"sim_bins/cas_ss.bin\")\n",
    "sim.move_to_com()\n",
    "sim.dt = sim.particles[3].a/365.\n",
    "\n",
    "total_days = 2370 #np.sum(times)\n",
    "\n",
    "for i in range(total_days):\n",
    "\n",
    "    sim.step()\n",
    "    sun_x.append(sim.particles[0].x)\n",
    "    sun_y.append(sim.particles[0].y)\n",
    "    mer_x.append(sim.particles[1].x)\n",
    "    mer_y.append(sim.particles[1].y)\n",
    "    ven_x.append(sim.particles[2].x)\n",
    "    ven_y.append(sim.particles[2].y)\n",
    "    ear_x.append(sim.particles[3].x)\n",
    "    ear_y.append(sim.particles[3].y)\n",
    "    mar_x.append(sim.particles[4].x)\n",
    "    mar_y.append(sim.particles[4].y)\n",
    "    jup_x.append(sim.particles[5].x)\n",
    "    jup_y.append(sim.particles[5].y)\n",
    "    sat_x.append(sim.particles[6].x)\n",
    "    sat_y.append(sim.particles[6].y)\n",
    "    ura_x.append(sim.particles[7].x)\n",
    "    ura_y.append(sim.particles[7].y)\n",
    "    nep_x.append(sim.particles[8].x)\n",
    "    nep_y.append(sim.particles[8].y)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "sim = rebound.Simulation(\"sim_bins/cas_ss.bin\")\n",
    "sim.particles[-1].m = 2.873e-27\n",
    "sim.move_to_com()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "date2 = \"1998-04-30 13:00\" #April 26\n",
    "date3 = \"1999-06-25 13:00\" #June 24\n",
    "#date3x4 = \"1999-07-08 13:00\" #July \n",
    "date4 = \"1999-08-19 13:00\" #August 18\n",
    "date5 = \"2000-01-24 13:00\" #January 23\n",
    "date6 = \"2000-12-31 13:00\" #December 30\n",
    "date7 = \"2002-06-30 13:00\" #July 23\n",
    "date8 = \"2004-06-02 13:00\" #July 1\n",
    "\n",
    "time12 = 205 #193\n",
    "\n",
    "time23= 340 #424\n",
    "time34= 55 #55\n",
    "time45= 158 #158\n",
    "time56= 332 #342\n",
    "time67= 1500 #570\n",
    "time78= 709 #709\n",
    "\n",
    "dates = [date2, date3, date4, date5, date6, date7, date8]\n",
    "times = [time23, time34, time45, time56, time67, time78]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "sim = rebound.Simulation(\"sim_bins/cas_ss.bin\")\n",
    "sim.particles[-1].m = 2.873e-27\n",
    "sim.move_to_com()\n",
    "cas_x = []\n",
    "cas_y = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1998-04-30 13:00 340\n",
      "Searching NASA Horizons for 'Cassini'... Found: Cassini (spacecraft) (-82).\n",
      "1999-06-25 13:00 55\n",
      "Searching NASA Horizons for 'Cassini'... "
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/rebound/horizons.py:137: RuntimeWarning: Warning: Mass cannot be retrieved from NASA HORIZONS. Set to 0.\n",
      "  warnings.warn(\"Warning: Mass cannot be retrieved from NASA HORIZONS. Set to 0.\", RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found: Cassini (spacecraft) (-82).\n",
      "1999-08-19 13:00 158\n",
      "Searching NASA Horizons for 'Cassini'... Found: Cassini (spacecraft) (-82).\n",
      "2000-01-24 13:00 332\n",
      "Searching NASA Horizons for 'Cassini'... Found: Cassini (spacecraft) (-82).\n",
      "2000-12-31 13:00 1500\n",
      "Searching NASA Horizons for 'Cassini'... Found: Cassini (spacecraft) (-82).\n"
     ]
    }
   ],
   "source": [
    "for j in range(time12):\n",
    "    sim.step()\n",
    "    cas_x.append(sim.particles[9].x)\n",
    "    cas_y.append(sim.particles[9].y)\n",
    "\n",
    "index1 = 5\n",
    "for k in range(index1):\n",
    "    chosen_date = dates[k]\n",
    "    chosen_time = times[k] \n",
    "    \n",
    "    print(chosen_date, chosen_time)\n",
    "\n",
    "\n",
    "    sim.remove(index=9)\n",
    "    sim.add(\"Cassini\",date=chosen_date)\n",
    "    sim.particles[-1].m = 2.873e-27\n",
    "    sim.dt = sim.particles[3].a/365.\n",
    "\n",
    "    for i in range(chosen_time):\n",
    "        sim.step()\n",
    "        cas_x.append(sim.particles[9].x)\n",
    "        cas_y.append(sim.particles[9].y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x1152 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('dark_background')\n",
    "fig = plt.figure(figsize=(18, 16))\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "#plt.style.use('dark_background')\n",
    "plt.plot(sun_x, sun_y, linewidth=7.0)\n",
    "plt.plot(mer_x, mer_y, linewidth=7.0)\n",
    "plt.plot(ven_x, ven_y, linewidth=7.0)\n",
    "plt.plot(ear_x, ear_y, linewidth=7.0)\n",
    "plt.plot(mar_x, mar_y, linewidth=7.0)\n",
    "plt.plot(jup_x, jup_y, linewidth=7.0)\n",
    "plt.plot(sat_x, sat_y, linewidth=7.0)\n",
    "#plt.scatter(ura_x, ura_y)\n",
    "#plt.scatter(nep_x, nep_y)\n",
    "plt.plot(cas_x, cas_y, color='gold', linewidth=7.0)\n",
    "plt.legend(['Sun','Mercury','Venus', 'Earth', 'Mars', 'Jupiter', 'Saturn', 'Cassini'])\n",
    "\n",
    "#ax.set_title(\"Stitched Trajectory of Juno's Orbit From Launch to Final\")\n",
    "ax.set_xlim([10.,-10.])\n",
    "ax.set_ylim([10.,-10.])\n",
    "ax.set_xlabel(\"AU\")\n",
    "ax.set_ylabel(\"AU\")\n",
    "plt.show()"
   ]
  },
  {
   "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}