{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8c588278",
   "metadata": {},
   "source": [
    "# Section 03 - Tradespace Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "141d49a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "from AMAT.planet import Planet\n",
    "from AMAT.vehicle import Vehicle\n",
    "\n",
    "import numpy as np\n",
    "from scipy import interpolate\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import rcParams\n",
    "from matplotlib.patches import Polygon\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f3088eb6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a planet object for Uranus\n",
    "planet=Planet(\"URANUS\")\n",
    "planet.h_skip = 1000e3\n",
    "planet.h_trap = 50e3\n",
    "\n",
    "# Load an nominal atmospheric profile with height, temp, pressure, density data\n",
    "planet.loadAtmosphereModel('../../../atmdata/Uranus/uranus-ames.dat', 0 , 1 , 2, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e197e25d",
   "metadata": {},
   "outputs": [
    {
     "ename": "FileExistsError",
     "evalue": "[Errno 17] File exists: '../../../data/acta-astronautica/uranus-orbiter-probe/'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileExistsError\u001b[0m                           Traceback (most recent call last)",
      "Input \u001b[0;32mIn [3]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# skip if not running for the firs time\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmakedirs\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m../../../data/acta-astronautica/uranus-orbiter-probe/\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/usr/lib/python3.8/os.py:223\u001b[0m, in \u001b[0;36mmakedirs\u001b[0;34m(name, mode, exist_ok)\u001b[0m\n\u001b[1;32m    221\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[1;32m    222\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 223\u001b[0m     \u001b[43mmkdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    224\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m:\n\u001b[1;32m    225\u001b[0m     \u001b[38;5;66;03m# Cannot rely on checking for EEXIST, since the operating system\u001b[39;00m\n\u001b[1;32m    226\u001b[0m     \u001b[38;5;66;03m# could give priority to other errors like EACCES or EROFS\u001b[39;00m\n\u001b[1;32m    227\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m exist_ok \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m path\u001b[38;5;241m.\u001b[39misdir(name):\n",
      "\u001b[0;31mFileExistsError\u001b[0m: [Errno 17] File exists: '../../../data/acta-astronautica/uranus-orbiter-probe/'"
     ]
    }
   ],
   "source": [
    "# skip if not running for the firs time\n",
    "os.makedirs('../../../data/acta-astronautica/uranus-orbiter-probe/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0248e788",
   "metadata": {},
   "outputs": [],
   "source": [
    "vinf_kms_array = np.linspace( 0.0,   30.0,  11)\n",
    "LD_array       = np.linspace( 0.0,    1.0 , 11)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4e06ad0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "runID = 'uranus-lift-'\n",
    "\n",
    "num_total      = len(vinf_kms_array)*len(LD_array)\n",
    "count = 1\n",
    "\n",
    "v0_kms_array    = np.zeros(len(vinf_kms_array))\n",
    "v0_kms_array[:] = np.sqrt(1.0*(vinf_kms_array[:]*1E3)**2.0 +\\\n",
    "                          2*np.ones(len(vinf_kms_array))*\\\n",
    "                          planet.GM/(planet.RP+1000.0*1.0E3))/1.0E3\n",
    "\n",
    "overShootLimit_array  = np.zeros((len(v0_kms_array),len(LD_array)))\n",
    "underShootLimit_array = np.zeros((len(v0_kms_array),len(LD_array)))\n",
    "exitflag_os_array     = np.zeros((len(v0_kms_array),len(LD_array)))\n",
    "exitflag_us_array     = np.zeros((len(v0_kms_array),len(LD_array)))\n",
    "TCW_array             = np.zeros((len(v0_kms_array),len(LD_array)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e9335970",
   "metadata": {},
   "outputs": [
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      "Run #76 of 121: V_infty: 18.0 km/s, L/D:0.9 OSL: -8.78065045524636 USL: -12.665558915687143, TCW: 3.8849084604407835 EFOS: 1.0 EFUS: 1.0\n",
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      "Run #78 of 121: V_infty: 21.0 km/s, L/D:0.0 OSL: -9.950224731965136 USL: -9.950224731965136, TCW: 0.0 EFOS: 1.0 EFUS: 1.0\n",
      "Run #79 of 121: V_infty: 21.0 km/s, L/D:0.1 OSL: -9.770493776140938 USL: -10.185260453527007, TCW: 0.4147666773860692 EFOS: 1.0 EFUS: 1.0\n",
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      "Run #83 of 121: V_infty: 21.0 km/s, L/D:0.5 OSL: -9.38964038667109 USL: -11.775505100904411, TCW: 2.385864714233321 EFOS: 1.0 EFUS: 1.0\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Run #119 of 121: V_infty: 30.0 km/s, L/D:0.8 OSL: -10.213473868298024 USL: -17.80029565168661, TCW: 7.5868217833885865 EFOS: 1.0 EFUS: 1.0\n",
      "Run #120 of 121: V_infty: 30.0 km/s, L/D:0.9 OSL: -10.174737286779418 USL: -19.04341915404075, TCW: 8.86868186726133 EFOS: 1.0 EFUS: 1.0\n",
      "Run #121 of 121: V_infty: 30.0 km/s, L/D:1.0 OSL: -10.140913652212475 USL: -20.337019965954823, TCW: 10.196106313742348 EFOS: 1.0 EFUS: 1.0\n"
     ]
    }
   ],
   "source": [
    "for i in range(0,len(v0_kms_array)):\n",
    "    for j in range(0,len(LD_array)):\n",
    "        vehicle=Vehicle('MSL', 3200.0, 146 , LD_array[j], np.pi*4.5**2.0, 0.0, 1.125, planet)\n",
    "        vehicle.setInitialState(1000.0, 0, 0, v0_kms_array[i], 0, -4.5 ,0.0, 0.0)\n",
    "        vehicle.setSolverParams(1E-6)\n",
    "        overShootLimit_array[i,j],  exitflag_os_array[i,j]  = vehicle.findOverShootLimit(2400.0, 1.0, -30.0, -5.0, 1E-10, 500e3)\n",
    "        underShootLimit_array[i,j], exitflag_us_array[i,j] =  vehicle.findUnderShootLimit(2400.0, 1.0, -30.0, -5.0, 1E-10, 500e3)\n",
    "\n",
    "        TCW_array[i,j] = overShootLimit_array[i,j] - underShootLimit_array[i,j]\n",
    "\n",
    "        print(\"Run #\"+str(count)+\" of \"+ str(num_total)+\": V_infty: \"+str(vinf_kms_array[i])+\" km/s\"+\", L/D:\"+str(LD_array[j]) + \" OSL: \"+str(overShootLimit_array[i,j])+\" USL: \"+str(underShootLimit_array[i,j])+\", TCW: \"+str(TCW_array[i,j])+\" EFOS: \"+str(exitflag_os_array[i,j])+ \" EFUS: \"+str(exitflag_us_array[i,j]))\n",
    "        count = count +1\n",
    "\n",
    "np.savetxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'vinf_kms_array.txt',vinf_kms_array)\n",
    "np.savetxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'v0_kms_array.txt',v0_kms_array)\n",
    "np.savetxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'LD_array.txt',LD_array)\n",
    "np.savetxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'overShootLimit_array.txt',overShootLimit_array)\n",
    "np.savetxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'exitflag_os_array.txt',exitflag_os_array)\n",
    "np.savetxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'undershootLimit_array.txt',underShootLimit_array)\n",
    "np.savetxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'exitflag_us_array.txt',exitflag_us_array)\n",
    "np.savetxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'TCW_array.txt',TCW_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d4629e37",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "V_infty: 0.0 km/s, L/D: 0.0 G_MAX: 0.1825178727124582 QDOT_MAX: 103.93138457749362 J_MAX: 47786.144951918744 STAG. PRES: 0.002585842149662393\n",
      "V_infty: 0.0 km/s, L/D: 0.1 G_MAX: 0.18645223607008765 QDOT_MAX: 104.70535651553692 J_MAX: 48098.23313046585 STAG. PRES: 0.002539648681000534\n",
      "V_infty: 0.0 km/s, L/D: 0.2 G_MAX: 0.19225763189175374 QDOT_MAX: 105.47139128915606 J_MAX: 48441.122344672396 STAG. PRES: 0.0024963804257682764\n",
      "V_infty: 0.0 km/s, L/D: 0.30000000000000004 G_MAX: 0.2002814268252643 QDOT_MAX: 106.3104927116782 J_MAX: 48773.318865616966 STAG. PRES: 0.0024536075488077883\n",
      "V_infty: 0.0 km/s, L/D: 0.4 G_MAX: 0.21009681601512656 QDOT_MAX: 107.12293648782503 J_MAX: 49109.419747258406 STAG. PRES: 0.002411661120022476\n",
      "V_infty: 0.0 km/s, L/D: 0.5 G_MAX: 0.22174620997813446 QDOT_MAX: 107.93560988611375 J_MAX: 49444.58233643851 STAG. PRES: 0.0023694263117217495\n",
      "V_infty: 0.0 km/s, L/D: 0.6000000000000001 G_MAX: 0.23454918566997493 QDOT_MAX: 108.61672096725906 J_MAX: 49783.93468472513 STAG. PRES: 0.0023294729664470027\n",
      "V_infty: 0.0 km/s, L/D: 0.7000000000000001 G_MAX: 0.24987331929166146 QDOT_MAX: 109.49555778946626 J_MAX: 50125.37284374557 STAG. PRES: 0.0022900362841391116\n",
      "V_infty: 0.0 km/s, L/D: 0.8 G_MAX: 0.26627019066352814 QDOT_MAX: 110.27439586073795 J_MAX: 50479.674183273826 STAG. PRES: 0.0022539369029861726\n",
      "V_infty: 0.0 km/s, L/D: 0.9 G_MAX: 0.2840863326974155 QDOT_MAX: 111.05025841712627 J_MAX: 50813.325503548855 STAG. PRES: 0.00221673848278717\n",
      "V_infty: 0.0 km/s, L/D: 1.0 G_MAX: 0.30360301441269705 QDOT_MAX: 111.88750631178405 J_MAX: 51168.70738135336 STAG. PRES: 0.0021831003086576354\n",
      "V_infty: 3.0 km/s, L/D: 0.0 G_MAX: 0.2610815862943659 QDOT_MAX: 123.7269971250725 J_MAX: 55272.78424452141 STAG. PRES: 0.0036984328041782277\n",
      "V_infty: 3.0 km/s, L/D: 0.1 G_MAX: 0.2691958934871717 QDOT_MAX: 125.17253612184415 J_MAX: 55799.93752398366 STAG. PRES: 0.003605249460571907\n",
      "V_infty: 3.0 km/s, L/D: 0.2 G_MAX: 0.2803710367008518 QDOT_MAX: 126.6632513966053 J_MAX: 56346.851810103406 STAG. PRES: 0.003517001487749616\n",
      "V_infty: 3.0 km/s, L/D: 0.30000000000000004 G_MAX: 0.29423791755116896 QDOT_MAX: 128.09878775373096 J_MAX: 56886.626919343376 STAG. PRES: 0.0034312109932906607\n",
      "V_infty: 3.0 km/s, L/D: 0.4 G_MAX: 0.3109761820522291 QDOT_MAX: 129.52078327444985 J_MAX: 57452.320841275454 STAG. PRES: 0.0033515949016726426\n",
      "V_infty: 3.0 km/s, L/D: 0.5 G_MAX: 0.330532823090998 QDOT_MAX: 130.9268115242652 J_MAX: 58001.81257587686 STAG. PRES: 0.003272407739659814\n",
      "V_infty: 3.0 km/s, L/D: 0.6000000000000001 G_MAX: 0.35245475989351194 QDOT_MAX: 132.25811064871255 J_MAX: 58549.92637737571 STAG. PRES: 0.0031954327853736387\n",
      "V_infty: 3.0 km/s, L/D: 0.7000000000000001 G_MAX: 0.37642173987811894 QDOT_MAX: 133.49462318294826 J_MAX: 59122.55739960922 STAG. PRES: 0.003121769861286549\n",
      "V_infty: 3.0 km/s, L/D: 0.8 G_MAX: 0.40276001232241754 QDOT_MAX: 134.72513254541636 J_MAX: 59685.124974776554 STAG. PRES: 0.003049591539622768\n",
      "V_infty: 3.0 km/s, L/D: 0.9 G_MAX: 0.43001326513512744 QDOT_MAX: 135.73822460670004 J_MAX: 60217.94710902102 STAG. PRES: 0.002975453656759935\n",
      "V_infty: 3.0 km/s, L/D: 1.0 G_MAX: 0.4598829095352068 QDOT_MAX: 136.80626406381074 J_MAX: 60807.32729618269 STAG. PRES: 0.002906582820794569\n",
      "V_infty: 6.0 km/s, L/D: 0.0 G_MAX: 0.5731831400908258 QDOT_MAX: 183.11798659933686 J_MAX: 71941.74352249224 STAG. PRES: 0.00811740808093039\n",
      "V_infty: 6.0 km/s, L/D: 0.1 G_MAX: 0.610883229203313 QDOT_MAX: 188.0624765657999 J_MAX: 73346.37474990835 STAG. PRES: 0.007645288741732226\n",
      "V_infty: 6.0 km/s, L/D: 0.2 G_MAX: 0.6564418674366456 QDOT_MAX: 193.01633779158445 J_MAX: 74764.9162390683 STAG. PRES: 0.007188897258093375\n",
      "V_infty: 6.0 km/s, L/D: 0.30000000000000004 G_MAX: 0.7110238187524406 QDOT_MAX: 198.01756025939898 J_MAX: 76195.4486674108 STAG. PRES: 0.006750267370985732\n",
      "V_infty: 6.0 km/s, L/D: 0.4 G_MAX: 0.7752907834550891 QDOT_MAX: 203.06099113285197 J_MAX: 77591.48435387922 STAG. PRES: 0.006327229257767225\n",
      "V_infty: 6.0 km/s, L/D: 0.5 G_MAX: 0.8499496168330559 QDOT_MAX: 208.15302029153503 J_MAX: 79007.67037532241 STAG. PRES: 0.005935271654132646\n",
      "V_infty: 6.0 km/s, L/D: 0.6000000000000001 G_MAX: 0.9355066414369365 QDOT_MAX: 213.27347460930056 J_MAX: 80379.1938902261 STAG. PRES: 0.00557137552222821\n",
      "V_infty: 6.0 km/s, L/D: 0.7000000000000001 G_MAX: 1.032906139283866 QDOT_MAX: 218.47873825791052 J_MAX: 81741.65303210409 STAG. PRES: 0.005256381221037729\n",
      "V_infty: 6.0 km/s, L/D: 0.8 G_MAX: 1.143337790675291 QDOT_MAX: 223.83860651469342 J_MAX: 83083.400640058 STAG. PRES: 0.005009423435060594\n",
      "V_infty: 6.0 km/s, L/D: 0.9 G_MAX: 1.266802414033078 QDOT_MAX: 229.28356814446227 J_MAX: 84417.43996629068 STAG. PRES: 0.004822383047231776\n",
      "V_infty: 6.0 km/s, L/D: 1.0 G_MAX: 1.405761970625625 QDOT_MAX: 234.96405777531288 J_MAX: 85763.09689034444 STAG. PRES: 0.004667691754901903\n",
      "V_infty: 9.0 km/s, L/D: 0.0 G_MAX: 1.1980900330222402 QDOT_MAX: 273.0327232389978 J_MAX: 90711.01771299822 STAG. PRES: 0.016962795816777062\n",
      "V_infty: 9.0 km/s, L/D: 0.1 G_MAX: 1.3015229957210843 QDOT_MAX: 284.0193405829482 J_MAX: 93862.70214838824 STAG. PRES: 0.01540992815109039\n",
      "V_infty: 9.0 km/s, L/D: 0.2 G_MAX: 1.3981757726385151 QDOT_MAX: 292.9266557465454 J_MAX: 97048.77947655348 STAG. PRES: 0.01399726787472235\n",
      "V_infty: 9.0 km/s, L/D: 0.30000000000000004 G_MAX: 1.510204142496536 QDOT_MAX: 300.1767394939251 J_MAX: 100225.47906847656 STAG. PRES: 0.012761092041046073\n",
      "V_infty: 9.0 km/s, L/D: 0.4 G_MAX: 1.661366252011135 QDOT_MAX: 307.1713744407242 J_MAX: 103457.10246121084 STAG. PRES: 0.011681934099777538\n",
      "V_infty: 9.0 km/s, L/D: 0.5 G_MAX: 1.8464702874915102 QDOT_MAX: 316.23945876114226 J_MAX: 106682.75023022584 STAG. PRES: 0.010720933128685663\n",
      "V_infty: 9.0 km/s, L/D: 0.6000000000000001 G_MAX: 2.0553978102052275 QDOT_MAX: 325.71742756255304 J_MAX: 109886.66800578612 STAG. PRES: 0.009856509453894529\n",
      "V_infty: 9.0 km/s, L/D: 0.7000000000000001 G_MAX: 2.2887263817590875 QDOT_MAX: 334.925360120978 J_MAX: 113066.28639964647 STAG. PRES: 0.009082667901252995\n",
      "V_infty: 9.0 km/s, L/D: 0.8 G_MAX: 2.5515619222105057 QDOT_MAX: 344.0380329624586 J_MAX: 116222.33805458673 STAG. PRES: 0.008385274338537817\n",
      "V_infty: 9.0 km/s, L/D: 0.9 G_MAX: 2.847199156559684 QDOT_MAX: 353.3885653903982 J_MAX: 119329.5321515453 STAG. PRES: 0.007755214849567525\n",
      "V_infty: 9.0 km/s, L/D: 1.0 G_MAX: 3.166134069050625 QDOT_MAX: 362.6841524595381 J_MAX: 122392.06522347419 STAG. PRES: 0.00718339985041812\n",
      "V_infty: 12.0 km/s, L/D: 0.0 G_MAX: 1.9040128801849945 QDOT_MAX: 377.17206786289364 J_MAX: 113667.31146896162 STAG. PRES: 0.026950928059642686\n",
      "V_infty: 12.0 km/s, L/D: 0.1 G_MAX: 2.1288326105530206 QDOT_MAX: 394.85839892900384 J_MAX: 119067.08050610565 STAG. PRES: 0.024135683358850465\n",
      "V_infty: 12.0 km/s, L/D: 0.2 G_MAX: 2.4023529004364295 QDOT_MAX: 412.6981428353224 J_MAX: 124658.74418234777 STAG. PRES: 0.021784687221673354\n",
      "V_infty: 12.0 km/s, L/D: 0.30000000000000004 G_MAX: 2.701419215564042 QDOT_MAX: 431.60985962748714 J_MAX: 130445.92420904369 STAG. PRES: 0.020021248312843135\n",
      "V_infty: 12.0 km/s, L/D: 0.4 G_MAX: 3.0382158992721444 QDOT_MAX: 449.28694316746595 J_MAX: 136490.19268959522 STAG. PRES: 0.017929133982679007\n",
      "V_infty: 12.0 km/s, L/D: 0.5 G_MAX: 3.462484244118298 QDOT_MAX: 465.233978953582 J_MAX: 142531.09494905637 STAG. PRES: 0.015871169759745462\n",
      "V_infty: 12.0 km/s, L/D: 0.6000000000000001 G_MAX: 3.935701908733637 QDOT_MAX: 483.54562901990124 J_MAX: 148454.88676302478 STAG. PRES: 0.01418946033047393\n",
      "V_infty: 12.0 km/s, L/D: 0.7000000000000001 G_MAX: 4.4242155382727955 QDOT_MAX: 501.78732850421255 J_MAX: 154269.29477391613 STAG. PRES: 0.012813157933795791\n",
      "V_infty: 12.0 km/s, L/D: 0.8 G_MAX: 4.974561979620486 QDOT_MAX: 517.9515246762065 J_MAX: 159963.2656506478 STAG. PRES: 0.01166511039071284\n",
      "V_infty: 12.0 km/s, L/D: 0.9 G_MAX: 5.610484573371387 QDOT_MAX: 532.6183159644454 J_MAX: 165549.87825986813 STAG. PRES: 0.010690333142012454\n",
      "V_infty: 12.0 km/s, L/D: 1.0 G_MAX: 6.303750514101661 QDOT_MAX: 548.2967902881774 J_MAX: 170992.20127094304 STAG. PRES: 0.009854947838764515\n",
      "V_infty: 15.0 km/s, L/D: 0.0 G_MAX: 2.9132125354116964 QDOT_MAX: 546.7349950654776 J_MAX: 144168.1046225464 STAG. PRES: 0.04122806420841523\n",
      "V_infty: 15.0 km/s, L/D: 0.1 G_MAX: 3.3548162240180903 QDOT_MAX: 578.8960347391662 J_MAX: 153017.22153081634 STAG. PRES: 0.036079082433869474\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "V_infty: 15.0 km/s, L/D: 0.2 G_MAX: 3.878732570619553 QDOT_MAX: 608.1454553199958 J_MAX: 162334.62832989614 STAG. PRES: 0.03124902797338207\n",
      "V_infty: 15.0 km/s, L/D: 0.30000000000000004 G_MAX: 4.444916353168732 QDOT_MAX: 641.3897211026674 J_MAX: 171886.88406482115 STAG. PRES: 0.027208738067414005\n",
      "V_infty: 15.0 km/s, L/D: 0.4 G_MAX: 5.148839175781703 QDOT_MAX: 673.6214301282241 J_MAX: 181521.9899647071 STAG. PRES: 0.024069564574453212\n",
      "V_infty: 15.0 km/s, L/D: 0.5 G_MAX: 5.919521075498059 QDOT_MAX: 701.9474464355504 J_MAX: 191222.45185094568 STAG. PRES: 0.021715080679660114\n",
      "V_infty: 15.0 km/s, L/D: 0.6000000000000001 G_MAX: 6.7855269962727505 QDOT_MAX: 733.1536338801798 J_MAX: 200892.57055556975 STAG. PRES: 0.019229009688091915\n",
      "V_infty: 15.0 km/s, L/D: 0.7000000000000001 G_MAX: 7.777189953311297 QDOT_MAX: 762.9194030142567 J_MAX: 210257.46536046203 STAG. PRES: 0.017157599575254895\n",
      "V_infty: 15.0 km/s, L/D: 0.8 G_MAX: 8.878729971745162 QDOT_MAX: 790.7426015359345 J_MAX: 219336.54874884675 STAG. PRES: 0.015507961679916579\n",
      "V_infty: 15.0 km/s, L/D: 0.9 G_MAX: 10.048208745338682 QDOT_MAX: 817.9160060761898 J_MAX: 228132.414243588 STAG. PRES: 0.014163957030203666\n",
      "V_infty: 15.0 km/s, L/D: 1.0 G_MAX: 11.33286171047466 QDOT_MAX: 845.2431527314149 J_MAX: 236661.71860081216 STAG. PRES: 0.013036753204883865\n",
      "V_infty: 18.0 km/s, L/D: 0.0 G_MAX: 4.229185087233885 QDOT_MAX: 880.1400858276833 J_MAX: 192357.10926637292 STAG. PRES: 0.05984267728695504\n",
      "V_infty: 18.0 km/s, L/D: 0.1 G_MAX: 4.965609467468936 QDOT_MAX: 935.6918085117295 J_MAX: 206421.69829830344 STAG. PRES: 0.050411536093940515\n",
      "V_infty: 18.0 km/s, L/D: 0.2 G_MAX: 5.867693083489318 QDOT_MAX: 990.8492983039046 J_MAX: 221121.20204813627 STAG. PRES: 0.04300894685821957\n",
      "V_infty: 18.0 km/s, L/D: 0.30000000000000004 G_MAX: 6.89772678647299 QDOT_MAX: 1052.197056477033 J_MAX: 236245.68245110378 STAG. PRES: 0.03657807759959658\n",
      "V_infty: 18.0 km/s, L/D: 0.4 G_MAX: 8.114870756443255 QDOT_MAX: 1105.6213685438836 J_MAX: 251367.21366783453 STAG. PRES: 0.031557038314865185\n",
      "V_infty: 18.0 km/s, L/D: 0.5 G_MAX: 9.439654963290442 QDOT_MAX: 1163.7127417832264 J_MAX: 266264.36463340966 STAG. PRES: 0.027757179873542547\n",
      "V_infty: 18.0 km/s, L/D: 0.6000000000000001 G_MAX: 10.980582741656585 QDOT_MAX: 1218.7383551420303 J_MAX: 280875.10477506474 STAG. PRES: 0.025118122771858327\n",
      "V_infty: 18.0 km/s, L/D: 0.7000000000000001 G_MAX: 12.686144381288633 QDOT_MAX: 1270.7658937001017 J_MAX: 295049.65955155203 STAG. PRES: 0.022464799419787983\n",
      "V_infty: 18.0 km/s, L/D: 0.8 G_MAX: 14.54967723506268 QDOT_MAX: 1322.9129728478067 J_MAX: 288026.75234522717 STAG. PRES: 0.020227228936633704\n",
      "V_infty: 18.0 km/s, L/D: 0.9 G_MAX: 16.64214117662536 QDOT_MAX: 1373.9898131194873 J_MAX: 321870.80028239224 STAG. PRES: 0.018425326897633657\n",
      "V_infty: 18.0 km/s, L/D: 1.0 G_MAX: 18.883794988736827 QDOT_MAX: 1422.1111045126927 J_MAX: 334576.9523533371 STAG. PRES: 0.016936317446663837\n",
      "V_infty: 21.0 km/s, L/D: 0.0 G_MAX: 5.824727801986941 QDOT_MAX: 1698.7807449873758 J_MAX: 285519.0613689875 STAG. PRES: 0.08240976190034302\n",
      "V_infty: 21.0 km/s, L/D: 0.1 G_MAX: 7.022889114218217 QDOT_MAX: 1817.1580237955304 J_MAX: 308404.3324997616 STAG. PRES: 0.06827103072388997\n",
      "V_infty: 21.0 km/s, L/D: 0.2 G_MAX: 8.491988993001053 QDOT_MAX: 1932.444153751349 J_MAX: 332340.8896899423 STAG. PRES: 0.05634478380974794\n",
      "V_infty: 21.0 km/s, L/D: 0.30000000000000004 G_MAX: 10.13890688957621 QDOT_MAX: 2064.477209513023 J_MAX: 356523.24591977196 STAG. PRES: 0.04766440303923406\n",
      "V_infty: 21.0 km/s, L/D: 0.4 G_MAX: 12.099675558461414 QDOT_MAX: 2180.1006073412927 J_MAX: 380385.86894803785 STAG. PRES: 0.040617014535160374\n",
      "V_infty: 21.0 km/s, L/D: 0.5 G_MAX: 14.265774376748805 QDOT_MAX: 2303.9901289809486 J_MAX: 403591.8000546916 STAG. PRES: 0.03532343352976316\n",
      "V_infty: 21.0 km/s, L/D: 0.6000000000000001 G_MAX: 16.73237830040775 QDOT_MAX: 2421.427394269322 J_MAX: 425977.2084634977 STAG. PRES: 0.03153142450256724\n",
      "V_infty: 21.0 km/s, L/D: 0.7000000000000001 G_MAX: 19.43970124507434 QDOT_MAX: 2532.3114296561653 J_MAX: 447538.500992991 STAG. PRES: 0.02868124577927384\n",
      "V_infty: 21.0 km/s, L/D: 0.8 G_MAX: 22.528099107128895 QDOT_MAX: 2643.9080157860017 J_MAX: 468267.72050978645 STAG. PRES: 0.0258940582514412\n",
      "V_infty: 21.0 km/s, L/D: 0.9 G_MAX: 25.903980456000454 QDOT_MAX: 2752.6384070397353 J_MAX: 488234.38723700953 STAG. PRES: 0.023539147529510453\n",
      "V_infty: 21.0 km/s, L/D: 1.0 G_MAX: 29.573382879319873 QDOT_MAX: 2851.5309968729225 J_MAX: 507331.99681733444 STAG. PRES: 0.02160038015663335\n",
      "V_infty: 24.0 km/s, L/D: 0.0 G_MAX: 7.745959338738097 QDOT_MAX: 3947.764564745526 J_MAX: 494197.59006056207 STAG. PRES: 0.1095785854829918\n",
      "V_infty: 24.0 km/s, L/D: 0.1 G_MAX: 9.595382713584545 QDOT_MAX: 4246.519854151519 J_MAX: 535095.6481166062 STAG. PRES: 0.08865270045049929\n",
      "V_infty: 24.0 km/s, L/D: 0.2 G_MAX: 11.771049461993805 QDOT_MAX: 4539.573587234514 J_MAX: 577143.6093525267 STAG. PRES: 0.07268535765082704\n",
      "V_infty: 24.0 km/s, L/D: 0.30000000000000004 G_MAX: 14.316091700896983 QDOT_MAX: 4874.749972633612 J_MAX: 618740.9298329015 STAG. PRES: 0.060108577429376114\n",
      "V_infty: 24.0 km/s, L/D: 0.4 G_MAX: 17.263612877982148 QDOT_MAX: 5171.569356438247 J_MAX: 659033.8494147136 STAG. PRES: 0.051154954852528016\n",
      "V_infty: 24.0 km/s, L/D: 0.5 G_MAX: 20.57218914804722 QDOT_MAX: 5485.630702828364 J_MAX: 697602.6894446122 STAG. PRES: 0.044353013198040504\n",
      "V_infty: 24.0 km/s, L/D: 0.6000000000000001 G_MAX: 24.362948296393455 QDOT_MAX: 5779.437197093534 J_MAX: 734456.7898514244 STAG. PRES: 0.039095502336270044\n",
      "V_infty: 24.0 km/s, L/D: 0.7000000000000001 G_MAX: 28.55332542660241 QDOT_MAX: 6063.657308047266 J_MAX: 769805.2259758885 STAG. PRES: 0.035538379574097854\n",
      "V_infty: 24.0 km/s, L/D: 0.8 G_MAX: 33.332060496999645 QDOT_MAX: 6340.5112767371975 J_MAX: 803735.2951341774 STAG. PRES: 0.032436009557778124\n",
      "V_infty: 24.0 km/s, L/D: 0.9 G_MAX: 38.82470876487728 QDOT_MAX: 6609.489365373819 J_MAX: 836200.5846278863 STAG. PRES: 0.02951193951997739\n",
      "V_infty: 24.0 km/s, L/D: 1.0 G_MAX: 45.037709722674215 QDOT_MAX: 6853.630432618915 J_MAX: 866427.135178989 STAG. PRES: 0.02704455076208276\n",
      "V_infty: 27.0 km/s, L/D: 0.0 G_MAX: 10.039284076635326 QDOT_MAX: 10265.226650622404 J_MAX: 994380.3634094555 STAG. PRES: 0.14200636162833374\n",
      "V_infty: 27.0 km/s, L/D: 0.1 G_MAX: 12.63248645775396 QDOT_MAX: 11091.961608173731 J_MAX: 1076895.4760741533 STAG. PRES: 0.1127247180803159\n",
      "V_infty: 27.0 km/s, L/D: 0.2 G_MAX: 15.804588160082167 QDOT_MAX: 11945.429736656106 J_MAX: 1159517.2240543514 STAG. PRES: 0.0905388821915437\n",
      "V_infty: 27.0 km/s, L/D: 0.30000000000000004 G_MAX: 19.497657261812627 QDOT_MAX: 12860.452708668057 J_MAX: 1239106.1850176083 STAG. PRES: 0.07425434407578954\n",
      "V_infty: 27.0 km/s, L/D: 0.4 G_MAX: 23.815333189278444 QDOT_MAX: 13706.263570549516 J_MAX: 1314591.5202696437 STAG. PRES: 0.063231294401008\n",
      "V_infty: 27.0 km/s, L/D: 0.5 G_MAX: 28.655952424481644 QDOT_MAX: 14579.214961543814 J_MAX: 1385797.905350721 STAG. PRES: 0.05458837311399223\n",
      "V_infty: 27.0 km/s, L/D: 0.6000000000000001 G_MAX: 34.30073109210544 QDOT_MAX: 15398.126047046966 J_MAX: 1453430.6114369994 STAG. PRES: 0.04813951278427645\n",
      "V_infty: 27.0 km/s, L/D: 0.7000000000000001 G_MAX: 40.946341119826116 QDOT_MAX: 16200.241345248316 J_MAX: 1518070.8857135992 STAG. PRES: 0.04311510951054282\n",
      "V_infty: 27.0 km/s, L/D: 0.8 G_MAX: 48.692505134203074 QDOT_MAX: 16975.443370431873 J_MAX: 1580041.4266005873 STAG. PRES: 0.039694295676618294\n",
      "V_infty: 27.0 km/s, L/D: 0.9 G_MAX: 58.84728717612848 QDOT_MAX: 17689.14755789836 J_MAX: 1638822.0459523688 STAG. PRES: 0.03632077690147349\n",
      "V_infty: 27.0 km/s, L/D: 1.0 G_MAX: 71.25012488185521 QDOT_MAX: 18357.381975537555 J_MAX: 1691120.1051410811 STAG. PRES: 0.0332781426299116\n",
      "V_infty: 30.0 km/s, L/D: 0.0 G_MAX: 12.679421929225244 QDOT_MAX: 27756.58165013742 J_MAX: 2209373.7477768622 STAG. PRES: 0.17933179647558806\n",
      "V_infty: 30.0 km/s, L/D: 0.1 G_MAX: 16.277632912144547 QDOT_MAX: 30069.900241376567 J_MAX: 2393673.4795901147 STAG. PRES: 0.13956964560333307\n",
      "V_infty: 30.0 km/s, L/D: 0.2 G_MAX: 20.668609983669246 QDOT_MAX: 32617.89703504814 J_MAX: 2572832.026720074 STAG. PRES: 0.11050919805344393\n",
      "V_infty: 30.0 km/s, L/D: 0.30000000000000004 G_MAX: 25.883644993541626 QDOT_MAX: 35146.491715470314 J_MAX: 2741001.3842114448 STAG. PRES: 0.09074788595295696\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "V_infty: 30.0 km/s, L/D: 0.4 G_MAX: 31.858518248163552 QDOT_MAX: 37703.716996833995 J_MAX: 2897151.3725407463 STAG. PRES: 0.07665178463346446\n",
      "V_infty: 30.0 km/s, L/D: 0.5 G_MAX: 39.069312452542334 QDOT_MAX: 40168.342536170276 J_MAX: 3043762.561132237 STAG. PRES: 0.06616321949664898\n",
      "V_infty: 30.0 km/s, L/D: 0.6000000000000001 G_MAX: 47.648871398645205 QDOT_MAX: 42515.28757835728 J_MAX: 3181824.188199194 STAG. PRES: 0.05829885539007423\n",
      "V_infty: 30.0 km/s, L/D: 0.7000000000000001 G_MAX: 59.2828600045883 QDOT_MAX: 44833.72467338082 J_MAX: 3313346.0562971113 STAG. PRES: 0.0520461202620099\n",
      "V_infty: 30.0 km/s, L/D: 0.8 G_MAX: 74.22989459632022 QDOT_MAX: 46934.281510568646 J_MAX: 3439590.620502319 STAG. PRES: 0.04759489114142471\n",
      "V_infty: 30.0 km/s, L/D: 0.9 G_MAX: 91.43161486612891 QDOT_MAX: 48970.60417137862 J_MAX: 3549802.3472461486 STAG. PRES: 0.04389804096967747\n",
      "V_infty: 30.0 km/s, L/D: 1.0 G_MAX: 111.91645605974561 QDOT_MAX: 50892.89853206811 J_MAX: 3669475.6554919058 STAG. PRES: 0.040297873747025766\n"
     ]
    }
   ],
   "source": [
    "acc_net_g_max_array       = np.zeros((len(v0_kms_array),len(LD_array)))\n",
    "stag_pres_atm_max_array   = np.zeros((len(v0_kms_array),len(LD_array)))\n",
    "q_stag_total_max_array    = np.zeros((len(v0_kms_array),len(LD_array)))\n",
    "heatload_max_array        = np.zeros((len(v0_kms_array),len(LD_array)))\n",
    "\n",
    "\n",
    "for i in range(0,len(v0_kms_array)):\n",
    "    for j in range(0,len(LD_array)):\n",
    "        vehicle=Vehicle('MSL', 3200.0, 146 , LD_array[j], np.pi*4.5**2.0, 0.0, 1.125, planet)\n",
    "        vehicle.setInitialState(1000.0,0.0,0.0,v0_kms_array[i],0.0,overShootLimit_array[i,j],0.0,0.0)\n",
    "        vehicle.setSolverParams(1E-6)\n",
    "        vehicle.propogateEntry (2400.0, 1.0, 180.0)\n",
    "\n",
    "        # Extract and save variables to plot\n",
    "        t_min_os         = vehicle.t_minc\n",
    "        h_km_os          = vehicle.h_kmc\n",
    "        acc_net_g_os     = vehicle.acc_net_g\n",
    "        q_stag_con_os    = vehicle.q_stag_con\n",
    "        q_stag_rad_os    = vehicle.q_stag_rad\n",
    "        rc_os            = vehicle.rc\n",
    "        vc_os            = vehicle.vc\n",
    "        stag_pres_atm_os = vehicle.computeStagPres(rc_os,vc_os)/(1.01325E5)\n",
    "        heatload_os      = vehicle.heatload\n",
    "\n",
    "        vehicle=Vehicle('MSL', 3200.0, 146 , LD_array[j], np.pi*4.5**2.0, 0.0, 1.125, planet)\n",
    "        vehicle.setInitialState(1000.0,0.0,0.0,v0_kms_array[i],0.0,underShootLimit_array[i,j],0.0,0.0)\n",
    "        vehicle.setSolverParams(1E-6)\n",
    "        vehicle.propogateEntry (2400.0, 1.0, 0.0)\n",
    "\n",
    "        # Extract and save variable to plot\n",
    "        t_min_us         = vehicle.t_minc\n",
    "        h_km_us          = vehicle.h_kmc\n",
    "        acc_net_g_us     = vehicle.acc_net_g\n",
    "        q_stag_con_us    = vehicle.q_stag_con\n",
    "        q_stag_rad_us    = vehicle.q_stag_rad\n",
    "        rc_us            = vehicle.rc\n",
    "        vc_us            = vehicle.vc\n",
    "        stag_pres_atm_us = vehicle.computeStagPres(rc_us,vc_us)/(1.01325E5)\n",
    "        heatload_us      = vehicle.heatload\n",
    "\n",
    "        q_stag_total_os  = q_stag_con_os + q_stag_rad_os\n",
    "        q_stag_total_us  = q_stag_con_us + q_stag_rad_us\n",
    "\n",
    "        acc_net_g_max_array[i,j]      = max(max(acc_net_g_os),max(acc_net_g_us))\n",
    "        stag_pres_atm_max_array[i,j]  = max(max(stag_pres_atm_os),max(stag_pres_atm_os))\n",
    "        q_stag_total_max_array[i,j]   = max(max(q_stag_total_os),max(q_stag_total_us))\n",
    "        heatload_max_array[i,j]       = max(max(heatload_os),max(heatload_os))\n",
    "\n",
    "        print(\"V_infty: \"+str(vinf_kms_array[i])+\" km/s\"+\", L/D: \"+str(LD_array[j])+\" G_MAX: \"+str(acc_net_g_max_array[i,j])+\" QDOT_MAX: \"+str(q_stag_total_max_array[i,j])+\" J_MAX: \"+str(heatload_max_array[i,j])+\" STAG. PRES: \"+str(stag_pres_atm_max_array[i,j]))\n",
    "\n",
    "\n",
    "np.savetxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'acc_net_g_max_array.txt',acc_net_g_max_array)\n",
    "np.savetxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'stag_pres_atm_max_array.txt',stag_pres_atm_max_array)\n",
    "np.savetxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'q_stag_total_max_array.txt',q_stag_total_max_array)\n",
    "np.savetxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'heatload_max_array.txt',heatload_max_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "3d92ec6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 625x625 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'vinf_kms_array.txt')\n",
    "y = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'LD_array.txt')\n",
    "\n",
    "Z1 = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'TCW_array.txt')\n",
    "G1 = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'acc_net_g_max_array.txt')\n",
    "Q1 = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'q_stag_total_max_array.txt')\n",
    "H1 = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'heatload_max_array.txt')\n",
    "S1 = np.loadtxt('../../../data/acta-astronautica/uranus-orbiter-probe/'+runID+'stag_pres_atm_max_array.txt')\n",
    "\n",
    "\n",
    "f1 = interpolate.interp2d(x, y, np.transpose(Z1), kind='cubic')\n",
    "g1 = interpolate.interp2d(x, y, np.transpose(G1), kind='cubic')\n",
    "q1 = interpolate.interp2d(x, y, np.transpose(Q1), kind='cubic')\n",
    "h1 = interpolate.interp2d(x, y, np.transpose(H1), kind='cubic')\n",
    "\n",
    "\n",
    "x_new =  np.linspace( 0.0,   30,  310)\n",
    "y_new =  np.linspace( 0.0,   1.0 ,110)\n",
    "z_new =  np.zeros((len(x_new),len(y_new)))\n",
    "\n",
    "z1_new =  np.zeros((len(x_new),len(y_new)))\n",
    "g1_new =  np.zeros((len(x_new),len(y_new)))\n",
    "q1_new =  np.zeros((len(x_new),len(y_new)))\n",
    "h1_new =  np.zeros((len(x_new),len(y_new)))\n",
    "\n",
    "\n",
    "for i in range(0,len(x_new)):\n",
    "    for j in range(0,len(y_new)):\n",
    "\n",
    "        z1_new[i,j] = f1(x_new[i],y_new[j])\n",
    "        g1_new[i,j] = g1(x_new[i],y_new[j])\n",
    "        q1_new[i,j] = q1(x_new[i],y_new[j])\n",
    "        h1_new[i,j] = h1(x_new[i],y_new[j])\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "Z1 = z1_new\n",
    "G1 = g1_new\n",
    "Q1 = q1_new\n",
    "H1 = h1_new/1000.0\n",
    "\n",
    "X, Y = np.meshgrid(x_new, y_new)\n",
    "\n",
    "\n",
    "Zlevels = np.array([0.5,1.0,2.0,3.0])\n",
    "\n",
    "Glevels = np.array([10.0, 20.0, 30.0, 50.0])\n",
    "Qlevels = np.array([500.0, 1000.0, 2000.0, 4000.0, 8000.0])\n",
    "Hlevels = np.array([120.0, 200.0, 400.0, 700.0, 1200.0])\n",
    "\n",
    "\n",
    "fig = plt.figure()\n",
    "fig.set_size_inches([6.25,6.25])\n",
    "plt.rc('font',family='Times New Roman')\n",
    "params = {'mathtext.default': 'regular' }\n",
    "plt.rcParams.update(params)\n",
    "\n",
    "\n",
    "ZCS1 = plt.contour(X, Y, np.transpose(Z1), levels=Zlevels, colors='black',zorder=0)\n",
    "\n",
    "\n",
    "\n",
    "plt.clabel(ZCS1, inline=1, fontsize=10, colors='black',fmt='%.1f',inline_spacing=1,zorder=0)\n",
    "ZCS1.collections[0].set_linewidths(1.5)\n",
    "ZCS1.collections[1].set_linewidths(1.5)\n",
    "ZCS1.collections[2].set_linewidths(1.5)\n",
    "ZCS1.collections[3].set_linewidths(1.5)\n",
    "ZCS1.collections[0].set_label(r'$TCW, deg$')\n",
    "\n",
    "\n",
    "GCS1 = plt.contour(X, Y, np.transpose(G1), levels=Glevels, colors='blue',linestyles='dashed',zorder=1)\n",
    "\n",
    "plt.clabel(GCS1, inline=1, fontsize=10, colors='blue',fmt='%d',inline_spacing=0,zorder=1)\n",
    "\n",
    "\n",
    "GCS1.collections[0].set_linewidths(1.5)\n",
    "GCS1.collections[1].set_linewidths(1.5)\n",
    "GCS1.collections[2].set_linewidths(1.5)\n",
    "GCS1.collections[3].set_linewidths(1.5)\n",
    "GCS1.collections[0].set_label(r'$g$'+r'-load')\n",
    "\n",
    "\n",
    "QCS1 = plt.contour(X, Y, np.transpose(Q1), levels=Qlevels, colors='red',linestyles='dotted',zorder=13)\n",
    "\n",
    "plt.clabel(QCS1, inline=1, fontsize=10, colors='red',fmt='%d',inline_spacing=0,zorder=13)\n",
    "QCS1.collections[0].set_linewidths(1.5)\n",
    "QCS1.collections[1].set_linewidths(1.5)\n",
    "QCS1.collections[2].set_linewidths(1.5)\n",
    "QCS1.collections[3].set_linewidths(1.5)\n",
    "QCS1.collections[4].set_linewidths(1.5)\n",
    "QCS1.collections[1].set_label(r'$\\dot{q}$'+', '+r'$W/cm^2$')\n",
    "\n",
    "\n",
    "HCS1 = plt.contour(X, Y, np.transpose(H1), levels=Hlevels, colors='xkcd:brown',linestyles='dashdot',zorder=14)\n",
    "\n",
    "plt.clabel(HCS1, inline=1, fontsize=10, colors='xkcd:brown',fmt='%d',inline_spacing=0,zorder=14)\n",
    "HCS1.collections[0].set_linewidths(1.75)\n",
    "HCS1.collections[1].set_linewidths(1.75)\n",
    "HCS1.collections[2].set_linewidths(1.75)\n",
    "HCS1.collections[3].set_linewidths(1.75)\n",
    "HCS1.collections[4].set_linewidths(1.75)\n",
    "HCS1.collections[0].set_label(r'$Q$'+', '+r'$kJ/cm^2$')\n",
    "\n",
    "\n",
    "plt.ylabel(\"L/D\",fontsize=14)\n",
    "plt.xlabel(\"Arrival \"+r'$V_\\infty$'+r', km/s' ,fontsize=14)\n",
    "plt.xticks(np.array([ 0.0, 5, 10, 15, 20, 25, 30]),fontsize=14)\n",
    "plt.yticks(np.array([ 0.0, 0.2, 0.4, 0.6, 0.8, 1.0]),fontsize=14)\n",
    "ax = plt.gca()\n",
    "ax.tick_params(direction='in')\n",
    "ax.yaxis.set_ticks_position('both')\n",
    "ax.xaxis.set_ticks_position('both')\n",
    "\n",
    "#plt.legend(loc='lower left', fontsize=12)\n",
    "from matplotlib.lines import Line2D\n",
    "lines = [Line2D([0], [0], color='black', linewidth=1, linestyle='solid'),\n",
    "         Line2D([0], [0], color='blue',  linewidth=1, linestyle='dashed'),\n",
    "         Line2D([0], [0], color='red',  linewidth=1, linestyle='dotted'),\n",
    "         Line2D([0], [0], color='xkcd:brown',  linewidth=1, linestyle='dashdot')]\n",
    "labels = ['1', '2', '3', '4']\n",
    "\n",
    "#plt.legend(lines, labels, loc='lower left', fontsize=12)\n",
    "\n",
    "colors = ['black', 'red', 'green']\n",
    "lines = [Line2D([0], [0], color='black', linewidth=1.75, linestyle='solid'),\n",
    "         Line2D([0], [0], color='blue',  linewidth=1.75, linestyle='dashed'),\n",
    "         Line2D([0], [0], color='red',  linewidth=1.75, linestyle='dotted'),\n",
    "         Line2D([0], [0], color='xkcd:brown',  linewidth=2.00, linestyle='dashdot')]\n",
    "labels = [r'$TCW, deg$', r'$g$'+r'-load', r'$\\dot{q}$'+', '+r'$W/cm^2$', r'$Q$'+', '+r'$kJ/cm^2$']\n",
    "plt.legend(lines, labels, loc='center left',fontsize=12, framealpha=1)\n",
    "\n",
    "plt.axhline(y=0.24, color='k', linestyle='dotted')\n",
    "plt.text(4, 0.25, r\"$L/D$ = 0.24\", fontsize=12)\n",
    "plt.scatter(20.5, 0.24, marker=\"*\", s=300, color='xkcd:bright red', zorder=100)\n",
    "\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/uranus-tradespace.png', dpi= 300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/uranus-tradespace.pdf', dpi=300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/uranus-tradespace.eps', dpi=300,bbox_inches='tight')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "55984cd6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from AMAT.launcher import Launcher\n",
    "launcher1 = Launcher('Falcon Heavy Exp. with kick',\n",
    "                     datafile='../../../launcher-data/falcon-heavy-expendable-w-star-48.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dab44d0e",
   "metadata": {},
   "source": [
    "**Note**: The dataset for interplaentary trajectory is not included in the public version of AMAT. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1f72c3a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "from AMAT.interplanetary import Interplanetary\n",
    "interplanetary1 = Interplanetary(ID=\"Uranus High Energy\",\n",
    "                                 datafile='../../../interplanetary-data-private/uranus/uranus-high-energy.xlsx',\n",
    "                                 sheet_name='Sheet1',\n",
    "                                 Lcdate_format=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "230f9490",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 625x325 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Lcmass = interplanetary1.compute_launch_capability(launcher1)\n",
    "\n",
    "plt.figure(figsize=(6.25,3.25))\n",
    "plt.plot(interplanetary1.Lcdate, Lcmass, marker='^', mec='g', mfc='w', markersize=5, linestyle='None')\n",
    "#plt.title(interplanetary1.ID+\" : \"+launcher1.ID, fontsize=12)\n",
    "plt.xlabel(r'Launch Year', fontsize=12)\n",
    "plt.ylabel(\"Launch capability, kg\", fontsize=12)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "ax = plt.gca()\n",
    "ax.tick_params(direction='in')\n",
    "ax.yaxis.set_ticks_position('both')\n",
    "ax.xaxis.set_ticks_position('both')\n",
    "plt.ylim(max(0, sorted(set(Lcmass))[1])-100, max(Lcmass)+100)\n",
    "\n",
    "plt.rc('font',family='Times New Roman')\n",
    "params = {'mathtext.default': 'regular' }\n",
    "plt.rcParams.update(params)\n",
    "\n",
    "\n",
    "#plt.legend(loc='upper right', fontsize=12, framealpha=0.8)\n",
    "\n",
    "ax.xaxis.set_tick_params(direction='in', which='both')\n",
    "ax.yaxis.set_tick_params(direction='in', which='both')\n",
    "\n",
    "ax.xaxis.set_tick_params(width=2, length=8)\n",
    "ax.yaxis.set_tick_params(width=2, length=8)\n",
    "\n",
    "ax.xaxis.set_tick_params(width=1, length=6, which='minor')\n",
    "ax.yaxis.set_tick_params(width=1, length=6, which='minor')\n",
    "\n",
    "ax.xaxis.grid(which='major', color='k', linestyle='dotted', linewidth=0.5)\n",
    "ax.xaxis.grid(which='minor', color='k', linestyle='dotted', linewidth=0.0)\n",
    "\n",
    "ax.yaxis.grid(which='major', color='k', linestyle='dotted', linewidth=0.5)\n",
    "ax.yaxis.grid(which='minor', color='k', linestyle='dotted', linewidth=0.0)\n",
    "\n",
    "for axis in ['top', 'bottom', 'left', 'right']:\n",
    "    ax.spines[axis].set_linewidth(2)\n",
    "    \n",
    "plt.axhline(y=5000, color='k', linestyle='dotted')\n",
    "plt.text(pd.to_datetime(\"2033-01-01\"), 5100, \"Required launch mass\", fontsize=12)\n",
    "\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/falcon-heavy-exp-launch-capability.png', dpi= 300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/falcon-heavy-exp-launch-capability.pdf', dpi=300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/falcon-heavy-exp-launch-capability.eps', dpi=300,bbox_inches='tight')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4a84b863",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 725x625 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Lcmass = interplanetary1.compute_launch_capability(launcher1)\n",
    "\n",
    "plt.figure(figsize=(7.25, 6.25))\n",
    "plt.scatter(interplanetary1.TOF, Lcmass, c=interplanetary1.Avinf , marker='o', cmap='jet',\n",
    "            vmin=interplanetary1.Avinf.min(), vmax=interplanetary1.Avinf.max(), s=20)\n",
    "cbar = plt.colorbar()\n",
    "cbar.ax.tick_params(labelsize=14)\n",
    "cbar.set_label(r'$V_{\\infty}$, km/s', labelpad=-20, y=1.05, rotation=0, fontsize=14)\n",
    "cbar.ax.tick_params(axis='y', direction='in')\n",
    "#plt.title(interplanetary1.ID+\" : \"+launcher1.ID, fontsize=14)\n",
    "plt.xlabel(r'TOF, years', fontsize=14)\n",
    "plt.ylabel(\"Launch capability, kg\", fontsize=14)\n",
    "plt.xticks(fontsize=14)\n",
    "plt.yticks(fontsize=14)\n",
    "ax = plt.gca()\n",
    "ax.tick_params(direction='in')\n",
    "ax.yaxis.set_ticks_position('both')\n",
    "ax.xaxis.set_ticks_position('both')\n",
    "plt.ylim(max(0, sorted(set(Lcmass))[1])-100, max(Lcmass)+100)\n",
    "\n",
    "\n",
    "#plt.legend(loc='upper right', fontsize=12, framealpha=0.8)\n",
    "\n",
    "ax.xaxis.set_tick_params(direction='in', which='both')\n",
    "ax.yaxis.set_tick_params(direction='in', which='both')\n",
    "\n",
    "ax.xaxis.set_tick_params(width=2, length=8)\n",
    "ax.yaxis.set_tick_params(width=2, length=8)\n",
    "\n",
    "ax.xaxis.set_tick_params(width=1, length=6, which='minor')\n",
    "ax.yaxis.set_tick_params(width=1, length=6, which='minor')\n",
    "\n",
    "ax.xaxis.grid(which='major', color='k', linestyle='dotted', linewidth=0.5)\n",
    "ax.xaxis.grid(which='minor', color='k', linestyle='dotted', linewidth=0.0)\n",
    "\n",
    "ax.yaxis.grid(which='major', color='k', linestyle='dotted', linewidth=0.5)\n",
    "ax.yaxis.grid(which='minor', color='k', linestyle='dotted', linewidth=0.0)\n",
    "\n",
    "for axis in ['top', 'bottom', 'left', 'right']:\n",
    "    ax.spines[axis].set_linewidth(2)\n",
    "    \n",
    "plt.axhline(y=5000, color='k', linestyle='dotted')\n",
    "plt.text(4.1, 5100, \"Required launch mass\", fontsize=12)\n",
    "\n",
    "plt.axvline(x=8, color='k', linestyle='dotted')\n",
    "plt.text(7.7, 5700, \"Required TOF\", fontsize=12, rotation=90)\n",
    "\n",
    "plt.annotate(\"Baseline trajectory \\n\"+r\"$V_{\\infty} = 20.5$\"+ \" km/s\"  , xy=(7.8, 5100), \n",
    "                                                                   xytext=(5, 6500), \n",
    "                                                                   va=\"center\", ha=\"center\", \n",
    "                    arrowprops=dict(arrowstyle='->, head_width=0.2', facecolor='blue'), fontsize=12,color='k',bbox=dict(boxstyle='round,pad=0.2', fc='none', ec='k', alpha=0.3))\n",
    "\n",
    "\n",
    "plt.annotate(\"\" , xy=(5.5, 5600), \n",
    "                   xytext=(5.5, 5200), \n",
    "                   va=\"center\", ha=\"center\", \n",
    "                    arrowprops=dict(arrowstyle='->, head_width=0.2', facecolor='blue'), fontsize=12,color='k',bbox=dict(boxstyle='round,pad=0.2', fc='none', ec='k', alpha=0.3))\n",
    "\n",
    "\n",
    "plt.annotate(\"\" , xy=(7.2, 6200), \n",
    "                   xytext=(7.7, 6200), \n",
    "                   va=\"center\", ha=\"center\", \n",
    "                    arrowprops=dict(arrowstyle='->, head_width=0.2', facecolor='blue'), fontsize=12,color='k',bbox=dict(boxstyle='round,pad=0.2', fc='none', ec='k', alpha=0.3))\n",
    "\n",
    "\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/trajectory-trade-space.png', dpi= 300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/trajectory-trade-space.pdf', dpi=300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/acta-astronautica/uranus-orbiter-probe/trajectory-trade-space.eps', dpi=300,bbox_inches='tight')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9114c698",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Bodies</th>\n",
       "      <th>Times</th>\n",
       "      <th>Lcdate</th>\n",
       "      <th>Arrival Date</th>\n",
       "      <th>LC3</th>\n",
       "      <th>TOF</th>\n",
       "      <th>DSMdv</th>\n",
       "      <th>DSM Mass</th>\n",
       "      <th>ArrivalVinf_Vector</th>\n",
       "      <th>Avinf</th>\n",
       "      <th>Adec</th>\n",
       "      <th>Unnamed: 11</th>\n",
       "      <th>Paths</th>\n",
       "      <th>Unnamed: 13</th>\n",
       "      <th>Unnamed: 14</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11717</th>\n",
       "      <td>[399 399 599 799]</td>\n",
       "      <td>2031-07-18 2034-05-16 2035-09-09 2039-06-07</td>\n",
       "      <td>2031-07-18</td>\n",
       "      <td>2039-06-07</td>\n",
       "      <td>52.266</td>\n",
       "      <td>7.886090</td>\n",
       "      <td>1.04</td>\n",
       "      <td>864.379658</td>\n",
       "      <td>[-9.511251449584961 17.8606014251709 0.2777369...</td>\n",
       "      <td>20.237</td>\n",
       "      <td>-48.836271</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11740</th>\n",
       "      <td>[399 399 599 799]</td>\n",
       "      <td>2031-07-22 2034-05-16 2035-09-04 2039-05-18</td>\n",
       "      <td>2031-07-22</td>\n",
       "      <td>2039-05-18</td>\n",
       "      <td>53.866</td>\n",
       "      <td>7.820462</td>\n",
       "      <td>1.04</td>\n",
       "      <td>864.379658</td>\n",
       "      <td>[-9.630807876586914 18.130252838134766 0.28104...</td>\n",
       "      <td>20.531</td>\n",
       "      <td>-48.894486</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11745</th>\n",
       "      <td>[399 399 599 799]</td>\n",
       "      <td>2031-07-22 2034-05-24 2035-09-14 2039-06-17</td>\n",
       "      <td>2031-07-22</td>\n",
       "      <td>2039-06-17</td>\n",
       "      <td>52.823</td>\n",
       "      <td>7.902598</td>\n",
       "      <td>0.84</td>\n",
       "      <td>675.544505</td>\n",
       "      <td>[-9.463287353515625 17.745807647705078 0.27622...</td>\n",
       "      <td>20.113</td>\n",
       "      <td>-48.803860</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Bodies                                         Times  \\\n",
       "11717  [399 399 599 799]   2031-07-18 2034-05-16 2035-09-09 2039-06-07   \n",
       "11740  [399 399 599 799]   2031-07-22 2034-05-16 2035-09-04 2039-05-18   \n",
       "11745  [399 399 599 799]   2031-07-22 2034-05-24 2035-09-14 2039-06-17   \n",
       "\n",
       "          Lcdate Arrival Date     LC3       TOF  DSMdv    DSM Mass  \\\n",
       "11717 2031-07-18   2039-06-07  52.266  7.886090   1.04  864.379658   \n",
       "11740 2031-07-22   2039-05-18  53.866  7.820462   1.04  864.379658   \n",
       "11745 2031-07-22   2039-06-17  52.823  7.902598   0.84  675.544505   \n",
       "\n",
       "                                      ArrivalVinf_Vector   Avinf       Adec  \\\n",
       "11717  [-9.511251449584961 17.8606014251709 0.2777369...  20.237 -48.836271   \n",
       "11740  [-9.630807876586914 18.130252838134766 0.28104...  20.531 -48.894486   \n",
       "11745  [-9.463287353515625 17.745807647705078 0.27622...  20.113 -48.803860   \n",
       "\n",
       "       Unnamed: 11 Paths  Unnamed: 13 Unnamed: 14  \n",
       "11717          NaN   NaN          NaN         NaN  \n",
       "11740          NaN   NaN          NaN         NaN  \n",
       "11745          NaN   NaN          NaN         NaN  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = interplanetary1.df\n",
    "df[(df[\"TOF\"]<=8) & (df[\"Avinf\"]>=20) & (df[\"Avinf\"]<=24) & (df[\"LC3\"]<=55)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ea2d928d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(5068.50561)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "launcher1.launchMass(53.866)"
   ]
  }
 ],
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