{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "561eb38f",
   "metadata": {},
   "source": [
    "# Section 4-7 - Venus SmallSat Aerocapture - Performance Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8a810fbe",
   "metadata": {},
   "outputs": [],
   "source": [
    "from AMAT.planet import Planet\n",
    "from AMAT.vehicle import Vehicle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e6983728",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from scipy import interpolate\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import rcParams\n",
    "from matplotlib.patches import Polygon"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "952866cb",
   "metadata": {},
   "source": [
    "## Small Run N = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8be9d26b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUN #: 1, PROF: ../../../atmdata/Venus/LAT20N.txt, SAMPLE #: 197, EFPA: -5.22, SIGMA: -0.07, APO : 1997.74\n",
      "RUN #: 2, PROF: ../../../atmdata/Venus/LAT20N.txt, SAMPLE #: 2, EFPA: -5.26, SIGMA: -1.89, APO : 1998.12\n",
      "RUN #: 3, PROF: ../../../atmdata/Venus/LAT20N.txt, SAMPLE #: 170, EFPA: -5.16, SIGMA: 1.32, APO : 2028.43\n",
      "RUN #: 4, PROF: ../../../atmdata/Venus/LAT20N.txt, SAMPLE #: 154, EFPA: -5.20, SIGMA: 1.40, APO : 2090.60\n",
      "RUN #: 5, PROF: ../../../atmdata/Venus/LAT20N.txt, SAMPLE #: 62, EFPA: -5.19, SIGMA: 1.01, APO : 2036.95\n",
      "RUN #: 6, PROF: ../../../atmdata/Venus/LAT20N.txt, SAMPLE #: 71, EFPA: -5.29, SIGMA: 1.85, APO : 1196.56\n",
      "RUN #: 7, PROF: ../../../atmdata/Venus/LAT20N.txt, SAMPLE #: 130, EFPA: -5.20, SIGMA: -1.04, APO : 2059.06\n",
      "RUN #: 8, PROF: ../../../atmdata/Venus/LAT20N.txt, SAMPLE #: 174, EFPA: -5.20, SIGMA: -0.33, APO : 1873.30\n",
      "RUN #: 9, PROF: ../../../atmdata/Venus/LAT20N.txt, SAMPLE #: 1, EFPA: -5.21, SIGMA: -0.45, APO : 1945.85\n",
      "RUN #: 10, PROF: ../../../atmdata/Venus/LAT20N.txt, SAMPLE #: 132, EFPA: -5.12, SIGMA: -0.10, APO : 2029.68\n"
     ]
    }
   ],
   "source": [
    "# Create a planet object\n",
    "planet=Planet(\"VENUS\")\n",
    "planet.h_skip = 150000.0\n",
    "planet.h_low=10.0E3\n",
    "\n",
    "# Load an nominal atmospheric profile with height, temp, pressure, density data\n",
    "planet.loadAtmosphereModel('../../../atmdata/Venus/venus-gram-avg.dat', 0 , 1 ,2, 3)\n",
    "\n",
    "# Set up a vehicle object\n",
    "vehicle=Vehicle('SmallSat1', 37, 20, 0.0, 1.767, 0.0, 0.35, planet)\n",
    "vehicle.setInitialState(150.0,-6.22,23.16,10.8191,89.9982,-5.20,0.0,0.0)\n",
    "vehicle.setSolverParams(1E-6)\n",
    "vehicle.setDragModulationVehicleParams(20, 7.5)\n",
    "\n",
    "# Set up the drag modulation entry phase guidance parameters.\n",
    "vehicle.setDragEntryPhaseParams(2.0, 20.0, 101, -150.0)\n",
    "\n",
    "# Set the target orbit parameters.\n",
    "vehicle.setTargetOrbitParams(200.0, 2000.0, 20.0)\n",
    "\n",
    "# Define the path to atmospheric files to be used for the Monte Carlo simulations.\n",
    "atmfiles = ['../../../atmdata/Venus/LAT20N.txt']\n",
    "\n",
    "# Set up the Monte Carlo simulation for drag modulation.\n",
    "# NPOS = 151, NMONTE = 200\n",
    "# Target EFPA = -5.30 deg\n",
    "# EFPA 1-sigma error = +/- 0.033 deg\n",
    "# Nominal beta_1 = 20 kg/m2\n",
    "# beta_1 1-sigma = 0.0\n",
    "# guidance time step for entry = 1.0s (Freq. = 1 Hz)\n",
    "# guidance time step after jettison = 1.0 s\n",
    "# max. solver time step = 0.1 s\n",
    "# max. time used by solver = 2400 s\n",
    "\n",
    "vehicle.setupMonteCarloSimulationD(151, 200, atmfiles, 0 , 1, 2, 3, 4, True,\n",
    "                                   -5.20,  0.0333, 20.0, 0.0,\n",
    "                                    1.0, 1.0, 0.1, 2400.0)\n",
    "# Run 10 trajectories\n",
    "vehicle.runMonteCarloD2(10, '../../../data/mdpi-aerospace/smallsat-mission-concepts/venus/MCBX1')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e09c284b",
   "metadata": {},
   "source": [
    "## Production Run N = 1000"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46006484",
   "metadata": {},
   "source": [
    "Run the file ```section-4-7-venus-smallsat-performance-analysis-prd.py```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fce19432",
   "metadata": {},
   "outputs": [],
   "source": [
    "p1  = np.loadtxt('../../../data/mdpi-aerospace/smallsat-mission-concepts/venus/MCB-Venus-1/terminal_periapsis_arr.txt')\n",
    "x1  = np.loadtxt('../../../data/mdpi-aerospace/smallsat-mission-concepts/venus/MCB-Venus-1/terminal_apoapsis_arr.txt')\n",
    "y1  = np.loadtxt('../../../data/mdpi-aerospace/smallsat-mission-concepts/venus/MCB-Venus-1/acc_net_g_max_arr.txt')\n",
    "z1  = np.loadtxt('../../../data/mdpi-aerospace/smallsat-mission-concepts/venus/MCB-Venus-1/q_stag_max_arr.txt')\n",
    "h1  = np.loadtxt('../../../data/mdpi-aerospace/smallsat-mission-concepts/venus/MCB-Venus-1/heatload_max_arr.txt')\n",
    "u1  = np.loadtxt('../../../data/mdpi-aerospace/smallsat-mission-concepts/venus/MCB-Venus-1/periapsis_raise_DV_arr.txt')\n",
    "v1  = np.loadtxt('../../../data/mdpi-aerospace/smallsat-mission-concepts/venus/MCB-Venus-1/apoapsis_raise_DV_arr.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "588b7dfc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 650x325 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize = (6.5, 3.25))\n",
    "plt.rc('font',family='Times New Roman')\n",
    "params = {'mathtext.default': 'regular' }\n",
    "plt.rcParams.update(params)\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.subplots_adjust(wspace=0.30)\n",
    "\n",
    "axes[0].axvline(x=2000, linewidth=1.5, color='k', linestyle='dashed')\n",
    "axes[0].hist(x1, bins=20, color='xkcd:periwinkle')\n",
    "axes[0].set_xlabel('Apoapsis altitude, km', fontsize=12)\n",
    "axes[0].set_ylabel('Number of cases', fontsize=12)\n",
    "\n",
    "axes[0].tick_params(direction='in')\n",
    "axes[0].yaxis.set_ticks_position('both')\n",
    "axes[0].xaxis.set_ticks_position('both')\n",
    "axes[0].tick_params(axis='x',labelsize=12)\n",
    "axes[0].tick_params(axis='y',labelsize=12)\n",
    "\n",
    "axes[1].axhline(y=2000, linewidth=1.5, color='k', linestyle='dashed')\n",
    "axes[1].plot(p1, x1, 'bo', markersize=5, mfc='None')\n",
    "\n",
    "axes[1].set_xlabel('Periapsis altitude, km',fontsize=12)\n",
    "axes[1].set_ylabel('Apoapsis altitude, km', fontsize=12)\n",
    "\n",
    "\n",
    "axes[1].tick_params(direction='in')\n",
    "axes[1].yaxis.set_ticks_position('both')\n",
    "axes[1].xaxis.set_ticks_position('both')\n",
    "axes[1].tick_params(axis='x',labelsize=12)\n",
    "axes[1].tick_params(axis='y',labelsize=12)\n",
    "\n",
    "for ax in axes:\n",
    "    ax.xaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.yaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.xaxis.set_tick_params(width=1, length=8)\n",
    "    ax.yaxis.set_tick_params(width=1, length=8)\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",
    "    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",
    "    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.savefig('../../../data/mdpi-aerospace/smallsat-mission-concepts/venus/venus-smallsat-apoapsis-vs-periapsis.png', dpi= 300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/mdpi-aerospace/smallsat-mission-concepts/venus/venus-smallsat-apoapsis-vs-periapsis.pdf', dpi=300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/mdpi-aerospace/smallsat-mission-concepts/venus/venus-smallsat-apoapsis-vs-periapsis.eps', dpi=300,bbox_inches='tight')\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "28bc23b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 650x325 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize = (6.5, 3.25))\n",
    "plt.rc('font',family='Times New Roman')\n",
    "params = {'mathtext.default': 'regular' }\n",
    "plt.rcParams.update(params)\n",
    "fig.tight_layout()\n",
    "plt.subplots_adjust(wspace=0.30)\n",
    "\n",
    "axes[0].plot(y1, z1, 'ro', markersize=5, mfc='None')\n",
    "axes[0].set_xlabel('Peak deceleration, Earth g', fontsize=12)\n",
    "axes[0].set_ylabel('Peak stagnation-point heat rate, '+r'$W/cm^2$', fontsize=12)\n",
    "axes[0].tick_params(direction='in')\n",
    "axes[0].yaxis.set_ticks_position('both')\n",
    "axes[0].xaxis.set_ticks_position('both')\n",
    "axes[0].tick_params(axis='x',labelsize=12)\n",
    "axes[0].tick_params(axis='y',labelsize=12)\n",
    "axes[0].axhline(y=np.percentile(z1, 99.87), linewidth=1.5, color='k', linestyle='dotted')\n",
    "axes[0].axvline(x=np.percentile(y1, 99.87), linewidth=1.5, color='k', linestyle='dotted')\n",
    "\n",
    "axes[1].plot(z1, h1, 'go', markersize=5, mfc='None')\n",
    "axes[1].set_xlabel('Peak stagnation-point heat rate, '+r'$W/cm^2$', fontsize=12)\n",
    "axes[1].set_ylabel('Peak stagnation-point heat load, '+r'$kJ/cm^2$', fontsize=12)\n",
    "\n",
    "axes[1].tick_params(direction='in')\n",
    "axes[1].yaxis.set_ticks_position('both')\n",
    "axes[1].xaxis.set_ticks_position('both')\n",
    "axes[1].tick_params(axis='x',labelsize=12)\n",
    "axes[1].tick_params(axis='y',labelsize=12)\n",
    "axes[1].axhline(y=np.percentile(h1, 99.87), linewidth=1.5, color='k', linestyle='dotted')\n",
    "axes[1].axvline(x=np.percentile(z1, 99.87), linewidth=1.5, color='k', linestyle='dotted')\n",
    "\n",
    "\n",
    "\n",
    "for ax in axes:\n",
    "    ax.xaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.yaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.xaxis.set_tick_params(width=1, length=8)\n",
    "    ax.yaxis.set_tick_params(width=1, length=8)\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",
    "    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",
    "    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.savefig('../../../data/mdpi-aerospace/smallsat-mission-concepts/venus/venus-smallsat-g-load-heat-rate.png', dpi= 300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/mdpi-aerospace/smallsat-mission-concepts/venus/venus-smallsat-g-load-heat-rate.pdf', dpi=300,bbox_inches='tight')\n",
    "plt.savefig('../../../data/mdpi-aerospace/smallsat-mission-concepts/venus/venus-smallsat-g-load-heat-rate.eps', dpi=300,bbox_inches='tight')\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cbe64824",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 650x325 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize = (6.5, 3.25))\n",
    "plt.rc('font',family='Times New Roman')\n",
    "params = {'mathtext.default': 'regular' }\n",
    "plt.rcParams.update(params)\n",
    "fig.tight_layout()\n",
    "plt.subplots_adjust(wspace=0.30)\n",
    "\n",
    "axes[0].hist(u1, bins=10, color='xkcd:periwinkle')\n",
    "axes[0].set_xlabel('Periapse raise '+r'$\\Delta V$'+', m/s', fontsize=10)\n",
    "axes[0].set_ylabel('Number of cases', fontsize=12)\n",
    "axes[0].tick_params(direction='in')\n",
    "axes[0].yaxis.set_ticks_position('both')\n",
    "axes[0].xaxis.set_ticks_position('both')\n",
    "axes[0].tick_params(axis='x',labelsize=12)\n",
    "axes[0].tick_params(axis='y',labelsize=12)\n",
    "\n",
    "axes[1].hist(np.abs(v1), bins=10, color='xkcd:orange')\n",
    "axes[1].set_xlabel('Apoapsis correction '+r'$\\Delta V$'+', m/s', fontsize=12)\n",
    "axes[1].set_ylabel('Number of cases', fontsize=12)\n",
    "axes[1].tick_params(direction='in')\n",
    "axes[1].yaxis.set_ticks_position('both')\n",
    "axes[1].xaxis.set_ticks_position('both')\n",
    "axes[1].tick_params(axis='x',labelsize=12)\n",
    "axes[1].tick_params(axis='y',labelsize=12)\n",
    "\n",
    "\n",
    "\n",
    "for ax in axes:\n",
    "    ax.xaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.yaxis.set_tick_params(direction='in', which='both')\n",
    "    ax.xaxis.set_tick_params(width=1, length=8)\n",
    "    ax.yaxis.set_tick_params(width=1, length=8)\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",
    "    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",
    "    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.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b9304c93",
   "metadata": {},
   "outputs": [],
   "source": [
    "def percent_between(a, lower, upper, closed_left=True, closed_right=True):\n",
    "    \"\"\"\n",
    "    Finds the percentage of values between a range for a numpy array\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    a: np.ndarray\n",
    "      numpy array to calculate percentage\n",
    "    lower: int, float\n",
    "      lower bound\n",
    "    upper: int, float\n",
    "      upper bound\n",
    "    closed_left:\n",
    "      closed left bound ( > vs >= )\n",
    "    closed_right:\n",
    "      closed right bound ( < vs <= )\n",
    "    \"\"\"\n",
    "    l = np.greater if not closed_left else np.greater_equal\n",
    "    r = np.less if not closed_right else np.less_equal\n",
    "\n",
    "    c = l(a, lower) & r(a, upper)\n",
    "    return np.count_nonzero(c) / float(a.size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "04155fb1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.914"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_between(x1, 1600, 2400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "36a82689",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.962"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_between(x1, 1400, 2600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "72893f15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.984"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_between(x1, 1200, 2800)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8e3386c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.99"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_between(x1, 1000, 3000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d2a8a474",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------------------------------------\n",
      "Parameter              |      Min.     5-percentile      Mean      95-percentile      Max\n",
      "--------------------------------------------------------------------------------------------------------\n",
      "Apoapsis altitude, km  |    1399          1865         2107          2510          5418\n",
      "Periapsis altitude, km |       97.5             99.3            101.2             102.6             103.4\n",
      "Peak deceleration, g   |       4.13           5.47           7.11            8.81           9.51\n",
      "Peak heat rate, W/cm2  |       129           144           157            168            191\n",
      "Peak heat load, kJ/cm2 |        10.4            12.3            16.1             19.7             22.2\n",
      "Periapsis raise dV, m/s|      22.9          26.1          26.5           27.1           28.2\n",
      "Apoapsis corr. dV, m/s |     -552.78         -101.53           -21.05          28.29          131.42\n"
     ]
    }
   ],
   "source": [
    "print(\"--------------------------------------------------------------------------------------------------------\")\n",
    "\n",
    "print(\"Parameter              |      Min.     5-percentile      Mean      95-percentile      Max\")\n",
    "print(\"--------------------------------------------------------------------------------------------------------\")\n",
    "print(\"Apoapsis altitude, km  |    \" + str(round(np.min(x1))) + \"          \" +  str(round(np.percentile(x1, 5))) +\\\n",
    "                                                                \"         \" +  str(round(np.average(x1))) +\n",
    "                                                                \"          \" +  str(round(np.percentile(x1, 95)))+\\\n",
    "                                                                \"          \" +  str(round(np.max(x1))))\n",
    "print(\"Periapsis altitude, km |       \" + str(round(np.min(p1), 1)) + \"             \" +  str(round(np.percentile(p1, 5), 1)) +\\\n",
    "                                                                \"            \" +  str(round(np.average(p1), 1)) +\n",
    "                                                                \"             \" +  str(round(np.percentile(p1, 95), 1))+\\\n",
    "                                                                \"             \" +  str(round(np.max(p1), 1)))\n",
    "print(\"Peak deceleration, g   |       \" + str(round(np.min(y1), 2)) + \"           \" +  str(round(np.percentile(y1, 5), 2)) +\\\n",
    "                                                                \"           \" +  str(round(np.average(y1), 2)) +\n",
    "                                                                \"            \" +  str(round(np.percentile(y1, 95), 2))+\\\n",
    "                                                                \"           \" +  str(round(np.max(y1), 2)))\n",
    "\n",
    "print(\"Peak heat rate, W/cm2  |       \" + str(round(np.min(z1))) + \"           \" +  str(round(np.percentile(z1, 5))) +\\\n",
    "                                                                \"           \" +  str(round(np.average(z1))) +\n",
    "                                                                \"            \" +  str(round(np.percentile(z1, 95)))+\\\n",
    "                                                                \"            \" +  str(round(np.max(z1))))\n",
    "\n",
    "print(\"Peak heat load, kJ/cm2 |        \" + str(round(np.min(h1),1)) + \"            \" +  str(round(np.percentile(h1, 5), 1)) +\\\n",
    "                                                                \"            \" +  str(round(np.average(h1), 1)) +\n",
    "                                                                \"             \" +  str(round(np.percentile(h1, 95), 1))+\\\n",
    "                                                                \"             \" +  str(round(np.max(h1), 1)))\n",
    "print(\"Periapsis raise dV, m/s|      \" + str(round(np.min(u1), 1)) + \"          \" +  str(round(np.percentile(u1, 5), 1)) +\\\n",
    "                                                                \"          \" +  str(round(np.average(u1), 1)) +\n",
    "                                                                \"           \" +  str(round(np.percentile(u1, 95), 1))+\\\n",
    "                                                                \"           \" +  str(round(np.max(u1), 1)))\n",
    "\n",
    "print(\"Apoapsis corr. dV, m/s |     \" + str(round(np.min(v1), 2)) + \"         \" +  str(round(np.percentile(v1, 5), 2)) +\\\n",
    "                                                                \"           \" +  str(round(np.average(v1), 2)) +\n",
    "                                                                \"          \" +  str(round(np.percentile(v1, 95), 2))+\\\n",
    "                                                                \"          \" +  str(round(np.max(v1), 2)))"
   ]
  }
 ],
 "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": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}