Quenched Vc vs Mout outliers.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pynbody\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import pynbody.plot as pp\n",
    "import pickle\n",
    "import pandas as pd\n",
    "import pynbody.plot.sph as sph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from Star import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from Load import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bulk import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = 239.55\n",
    "b = 188.85\n",
    "c = 144.38\n",
    "d = 127.47\n",
    "R1Rvir = 86.45"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Vc == ((Gravitational constant * Halo Mass)/Rvir)**(1/2)\n",
    "G = 4.302*1e-3           #in pc/Msol(km/s)**2\n",
    "h = 0.6776942783267969          #halo.properties['h']\n",
    "Rvir = data['Rvir']*1000*h\n",
    "V_c = (G* data['mass']/Rvir)**(1/2)     #km/s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "Rvir2 = data['Rvir'][data['sSFR']<1e-11]*1000*h\n",
    "Vel = (G* data['mass'][data['sSFR']<1e-11]/Rvir2)**(1/2)     #km/s\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot N value vs Vc\n",
    "\n",
    "plt.figure(figsize=(7,7))\n",
    "\n",
    "plt.scatter(V_c, data['G_outflow_2.5'], c='gold', label='SF')\n",
    "plt.scatter(Vel, data['G_outflow_2.5'][data['sSFR']<1e-11], c='indigo', label='Q')\n",
    "\n",
    "plt.loglog()\n",
    "plt.xlim(10, 1e3)\n",
    "plt.ylim(1e-6, 50)\n",
    "\n",
    "plt.legend()\n",
    "plt.xlabel(r'$V_{c}$ (Km\\s)', size=15)\n",
    "plt.ylabel(r'n = $M_{out}$', size=15)\n",
    "plt.title('Power law fit Muratov', size=20)\n",
    "plt.savefig('b5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,7))\n",
    "\n",
    "plt.scatter(data['M_star'], data['G_outflow_2.5'], c='gold', label='SF')\n",
    "plt.scatter(data['M_star'][data['sSFR']<1e-11], data['G_outflow_2.5'][data['sSFR']<1e-11], c='indigo', label='Q')\n",
    "plt.scatter(data1['M_star'][data1['haloid']==28], data1['G_outflow_2.5'][data1['haloid']==28], label='28, 148')\n",
    "plt.scatter(data1['M_star'][data1['haloid']==36], data1['G_outflow_2.5'][data1['haloid']==36], label='36, 148')\n",
    "plt.scatter(data1['M_star'][data1['haloid']==64], data1['G_outflow_2.5'][data1['haloid']==64], label='64, 148')\n",
    "plt.scatter(data2['M_star'][data2['haloid']==17], data2['G_outflow_2.5'][data2['haloid']==17], label='17, 229')\n",
    "plt.scatter(data3['M_star'][data3['haloid']==48], data3['G_outflow_2.5'][data3['haloid']==48], c='black', label='48, 242')\n",
    "plt.scatter(Rogue['M_star'][Rogue['haloid']==36], Rogue['G_outflow_2.5'][Rogue['haloid']==36], c='cyan', label='36, R')\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(1e-7, 100)\n",
    "plt.xlim(1e1, 1e13)\n",
    "\n",
    "plt.legend()\n",
    "plt.xlabel(r'Stellar Mass ($M_{\\odot}$)', size=15)\n",
    "plt.ylabel(r'n = $M_{out}$', size=15)\n",
    "plt.title('Quenching relationships', size=20)\n",
    "plt.savefig('c')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Outlier Distance')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,7))\n",
    "\n",
    "plt.scatter(data1['h1dist']/a, data1['M_star'], label='SF', c='gold')\n",
    "plt.scatter(data2['h1dist']/b, data2['M_star'], label='SF', c='gold')\n",
    "plt.scatter(data3['h1dist']/c, data3['M_star'], label='SF', c='gold')\n",
    "plt.scatter(data4['h1dist']/d, data4['M_star'], label='SF', c='gold')\n",
    "plt.scatter(data1['h1dist'][data1['sSFR']<1e-11]/a, data1['M_star'][data1['sSFR']<1e-11], label='Q', c='indigo')\n",
    "plt.scatter(data2['h1dist'][data1['sSFR']<1e-11]/b, data2['M_star'][data1['sSFR']<1e-11], label='Q', c='indigo')\n",
    "plt.scatter(data3['h1dist'][data1['sSFR']<1e-11]/c, data3['M_star'][data1['sSFR']<1e-11], label='Q', c='indigo')\n",
    "plt.scatter(data4['h1dist'][data1['sSFR']<1e-11]/d, data4['M_star'][data1['sSFR']<1e-11], label='Q', c='indigo')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==28]/a, data1['M_star'][data1['haloid']==28], label='28')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==36]/a, data1['M_star'][data1['haloid']==36], label='36')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==64]/a, data1['M_star'][data1['haloid']==64], label='64')\n",
    "plt.scatter(data2['h1dist'][data2['haloid']==17]/b, data2['M_star'][data2['haloid']==17], label='17')\n",
    "plt.scatter(data3['h1dist'][data3['haloid']==48]/c, data3['M_star'][data3['haloid']==48], label='48')\n",
    "plt.scatter(Rogue['h1dist'][Rogue['haloid']==36]/R1Rvir, Rogue['M_star'][Rogue['haloid']==36], label='R36', c='cyan')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(1, 1e12)\n",
    "plt.xlim(1e-2, 1e3)\n",
    "\n",
    "plt.ylabel('Stellar Mass $M_{\\odot}$', size=15)\n",
    "plt.xlabel('Distance to H1', size=17)\n",
    "plt.title('Outlier Distance', size=18)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This plot indicates that there is not relationship between the quenching of these outlying halos and their position relative to the host galaxy, at least not in the current snapshot, we can trace their movement through other snapshots to attempt to confirm. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Outlier Distance')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,7))\n",
    "\n",
    "plt.scatter(data1['h1dist']/a, data1['G_outflow_2.5'], label='SF', c='gold')\n",
    "plt.scatter(data2['h1dist']/b, data2['G_outflow_2.5'], label='SF', c='gold')\n",
    "plt.scatter(data3['h1dist']/c, data3['G_outflow_2.5'], label='SF', c='gold')\n",
    "plt.scatter(data4['h1dist']/d, data4['G_outflow_2.5'], label='SF', c='gold')\n",
    "plt.scatter(data1['h1dist'][data1['sSFR']<1e-11]/a, data1['G_outflow_2.5'][data1['sSFR']<1e-11], label='Q', c='indigo')\n",
    "plt.scatter(data2['h1dist'][data1['sSFR']<1e-11]/b, data2['G_outflow_2.5'][data1['sSFR']<1e-11], label='Q', c='indigo')\n",
    "plt.scatter(data3['h1dist'][data1['sSFR']<1e-11]/c, data3['G_outflow_2.5'][data1['sSFR']<1e-11], label='Q', c='indigo')\n",
    "plt.scatter(data4['h1dist'][data1['sSFR']<1e-11]/d, data4['G_outflow_2.5'][data1['sSFR']<1e-11], label='Q', c='indigo')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==28]/a, data1['G_outflow_2.5'][data1['haloid']==28], label='28')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==36]/a, data1['G_outflow_2.5'][data1['haloid']==36], label='36')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==64]/a, data1['G_outflow_2.5'][data1['haloid']==64], label='64')\n",
    "plt.scatter(data2['h1dist'][data2['haloid']==17]/b, data2['G_outflow_2.5'][data2['haloid']==17], label='17')\n",
    "plt.scatter(data3['h1dist'][data3['haloid']==48]/c, data3['G_outflow_2.5'][data3['haloid']==48], label='48')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.loglog()\n",
    "plt.xlim(1e-2, 1e3)\n",
    "plt.ylim(1e-7, 100)\n",
    "\n",
    "plt.ylabel('Mout $M_{\\odot}/yr$', size=15)\n",
    "plt.xlabel('Distance to H1', size=17)\n",
    "plt.title('Outlier Distance', size=18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Outlier Distance')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,7))\n",
    "\n",
    "plt.scatter(data1['h1dist']/a, abs(data1['G_inflow_2.5']), label='SF', c='gold')\n",
    "plt.scatter(data2['h1dist']/b, abs(data2['G_inflow_2.5']), label='SF', c='gold')\n",
    "plt.scatter(data3['h1dist']/c, abs(data3['G_inflow_2.5']), label='SF', c='gold')\n",
    "plt.scatter(data4['h1dist']/d, abs(data4['G_inflow_2.5']), label='SF', c='gold')\n",
    "plt.scatter(data1['h1dist'][data1['sSFR']<1e-11]/a, abs(data1['G_inflow_2.5'][data1['sSFR']<1e-11]), label='Q', c='indigo')\n",
    "plt.scatter(data2['h1dist'][data1['sSFR']<1e-11]/b, abs(data2['G_inflow_2.5'][data1['sSFR']<1e-11]), label='Q', c='indigo')\n",
    "plt.scatter(data3['h1dist'][data1['sSFR']<1e-11]/c, abs(data3['G_inflow_2.5'][data1['sSFR']<1e-11]), label='Q', c='indigo')\n",
    "plt.scatter(data4['h1dist'][data1['sSFR']<1e-11]/d, abs(data4['G_inflow_2.5'][data1['sSFR']<1e-11]), label='Q', c='indigo')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==28]/a, abs(data1['G_inflow_2.5'][data1['haloid']==28]), label='28')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==36]/a, abs(data1['G_inflow_2.5'][data1['haloid']==36]), label='36')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==64]/a, abs(data1['G_inflow_2.5'][data1['haloid']==64]), label='64')\n",
    "plt.scatter(data2['h1dist'][data2['haloid']==17]/b, abs(data2['G_inflow_2.5'][data2['haloid']==17]), label='17')\n",
    "plt.scatter(data3['h1dist'][data3['haloid']==48]/c, abs(data3['G_inflow_2.5'][data3['haloid']==48]), label='48')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.loglog()\n",
    "plt.xlim(1e-2, 1e3)\n",
    "plt.ylim(1e-7, 100)\n",
    "\n",
    "plt.ylabel('Min $M_{\\odot}/yr$', size=15)\n",
    "plt.xlabel('Distance to H1', size=17)\n",
    "plt.title('Outlier Distance', size=18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Outlier Distance')"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,7))\n",
    "\n",
    "plt.scatter(data1['h1dist']/a, data1['G_outflow_0'], label='SF', c='gold')\n",
    "plt.scatter(data2['h1dist']/b, data2['G_outflow_0'], label='SF', c='gold')\n",
    "plt.scatter(data3['h1dist']/c, data3['G_outflow_0'], label='SF', c='gold')\n",
    "plt.scatter(data4['h1dist']/d, data4['G_outflow_0'], label='SF', c='gold')\n",
    "plt.scatter(data1['h1dist'][data1['sSFR']<1e-11]/a, data1['G_outflow_0'][data1['sSFR']<1e-11], label='Q', c='indigo')\n",
    "plt.scatter(data2['h1dist'][data1['sSFR']<1e-11]/b, data2['G_outflow_0'][data1['sSFR']<1e-11], label='Q', c='indigo')\n",
    "plt.scatter(data3['h1dist'][data1['sSFR']<1e-11]/c, data3['G_outflow_0'][data1['sSFR']<1e-11], label='Q', c='indigo')\n",
    "plt.scatter(data4['h1dist'][data1['sSFR']<1e-11]/d, data4['G_outflow_0'][data1['sSFR']<1e-11], label='Q', c='indigo')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==28]/a, data1['G_outflow_0'][data1['haloid']==28], label='28')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==36]/a, data1['G_outflow_0'][data1['haloid']==36], label='36')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==64]/a, data1['G_outflow_0'][data1['haloid']==64], label='64')\n",
    "plt.scatter(data2['h1dist'][data2['haloid']==17]/b, data2['G_outflow_0'][data2['haloid']==17], label='17')\n",
    "plt.scatter(data3['h1dist'][data3['haloid']==48]/c, data3['G_outflow_0'][data3['haloid']==48], label='48')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.loglog()\n",
    "plt.xlim(1e-2, 1e3)\n",
    "plt.ylim(1e-7, 100)\n",
    "\n",
    "plt.ylabel('Mout $M_{\\odot}/yr$', size=15)\n",
    "plt.xlabel('Distance to H1', size=17)\n",
    "plt.title('Outlier Distance', size=18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Outlier Distance')"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,7))\n",
    "\n",
    "plt.scatter(data1['h1dist']/a, abs(data1['G_inflow_0']), label='SF', c='gold')\n",
    "plt.scatter(data2['h1dist']/b, abs(data2['G_inflow_0']), label='SF', c='gold')\n",
    "plt.scatter(data3['h1dist']/c, abs(data3['G_inflow_0']), label='SF', c='gold')\n",
    "plt.scatter(data4['h1dist']/d, abs(data4['G_inflow_0']), label='SF', c='gold')\n",
    "plt.scatter(data1['h1dist'][data1['sSFR']<1e-11]/a, abs(data1['G_inflow_0'][data1['sSFR']<1e-11]), label='Q', c='indigo')\n",
    "plt.scatter(data2['h1dist'][data1['sSFR']<1e-11]/b, abs(data2['G_inflow_0'][data1['sSFR']<1e-11]), label='Q', c='indigo')\n",
    "plt.scatter(data3['h1dist'][data1['sSFR']<1e-11]/c, abs(data3['G_inflow_0'][data1['sSFR']<1e-11]), label='Q', c='indigo')\n",
    "plt.scatter(data4['h1dist'][data1['sSFR']<1e-11]/d, abs(data4['G_inflow_0'][data1['sSFR']<1e-11]), label='Q', c='indigo')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==28]/a, abs(data1['G_inflow_0'][data1['haloid']==28]), label='28')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==36]/a, abs(data1['G_inflow_0'][data1['haloid']==36]), label='36')\n",
    "plt.scatter(data1['h1dist'][data1['haloid']==64]/a, abs(data1['G_inflow_0'][data1['haloid']==64]), label='64')\n",
    "plt.scatter(data2['h1dist'][data2['haloid']==17]/b, abs(data2['G_inflow_0'][data2['haloid']==17]), label='17')\n",
    "plt.scatter(data3['h1dist'][data3['haloid']==48]/c, abs(data3['G_inflow_0'][data3['haloid']==48]), label='48')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.loglog()\n",
    "plt.xlim(1e-2, 1e3)\n",
    "plt.ylim(1e-7, 100)\n",
    "\n",
    "plt.ylabel('Min $M_{\\odot}/yr$', size=15)\n",
    "plt.xlabel('Distance to H1', size=17)\n",
    "plt.title('Outlier Distance', size=18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25    0.0\n",
       "Name: G_inflow_2.5, dtype: float64"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1['G_inflow_2.5'][data1['haloid']==64]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Evidence that the outliers are experiencing strangulation or RAM stripping, they continue to experience gas outflow, it would appear at elevated rates relative to total size. There isn't a strong correlation with ditance to the host halo, yet we see that the rates of inflowing gas are extremely low (strangulation) indicating that this could be the cause for a lack of star formation. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Outlier Gas Temp')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,7))\n",
    "\n",
    "plt.scatter(MW['g_temp'], MW['M_star'], label='SF', c='gold')\n",
    "plt.scatter(MW['g_temp'][MW['sSFR']<1e-11], MW['M_star'][MW['sSFR']<1e-11], label='Q', c='indigo')\n",
    "plt.scatter(data1['g_temp'][data1['haloid']==28], data1['M_star'][data1['haloid']==28], label='28')\n",
    "plt.scatter(data1['g_temp'][data1['haloid']==36], data1['M_star'][data1['haloid']==36], label='36')\n",
    "plt.scatter(data1['g_temp'][data1['haloid']==64], data1['M_star'][data1['haloid']==64], label='64')\n",
    "plt.scatter(data2['g_temp'][data2['haloid']==17], data2['M_star'][data2['haloid']==17], label='17')\n",
    "plt.scatter(data3['g_temp'][data3['haloid']==48], data3['M_star'][data3['haloid']==48], label='48')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(1, 1e12)\n",
    "plt.xlim(1, 3e6)\n",
    "\n",
    "plt.ylabel('Stellar Mass $M_{\\odot}$', size=15)\n",
    "plt.xlabel('Gas Temperature', size=17)\n",
    "plt.title('Outlier Gas Temp', size=18)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cold gas can be an indicator of RAM pressure stripping since it only effectively removes hot gas decreasing the overall temperature of the halo over time. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Outlier Gas inflow Temp')"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,7))\n",
    "\n",
    "plt.scatter(MW['M_star'], MW['Gout_T'], label='SF', c='gold')\n",
    "plt.scatter(MW['M_star'][MW['sSFR']<1e-11], MW['Gout_T'][MW['sSFR']<1e-11], label='Q', c='indigo')\n",
    "\n",
    "plt.scatter(data1['M_star'][data1['haloid']==28], data1['Gout_T'][data1['haloid']==28], label='28')\n",
    "plt.scatter(data1['M_star'][data1['haloid']==36], data1['Gout_T'][data1['haloid']==36], label='36')\n",
    "plt.scatter(data1['M_star'][data1['haloid']==64], data1['Gout_T'][data1['haloid']==64], label='64')\n",
    "plt.scatter(data2['M_star'][data2['haloid']==17], data2['Gout_T'][data2['haloid']==17], label='17')\n",
    "plt.scatter(data3['M_star'][data3['haloid']==48], data3['Gout_T'][data3['haloid']==48], label='48')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(1e2, 1e7)\n",
    "plt.xlim(1e4, 1e12)\n",
    "\n",
    "plt.xlabel('Stellar Mass $M_{\\odot}$', size=15)\n",
    "plt.ylabel('Gas in Temperature', size=17)\n",
    "plt.title('Outlier Gas inflow Temp', size=18)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Would like to plot these halos as a position/distance to the host over time which would show their orbital distance from the host halo. Hopefully we would see them travel in really close to the host and then sling shot out again, but in that close tgravel they would have experienced RAM pressure stripping therefore quenching them despite their size and current distance which would explain their status as outliers in the previous graphs. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,7))\n",
    "\n",
    "plt.scatter(data['sSFR'], abs(data['G_inflow_2.5']), c='gold', label='SF')\n",
    "plt.scatter(data['sSFR'][data['sSFR']<1e-11], abs(data['G_inflow_2.5'][data['sSFR']<1e-11]), c='indigo', label='Q')\n",
    "plt.scatter(data1['sSFR'][data1['haloid']==28], abs(data1['G_inflow_2.5'][data1['haloid']==28]), label='28, 148')\n",
    "plt.scatter(data1['sSFR'][data1['haloid']==36], abs(data1['G_inflow_2.5'][data1['haloid']==36]), label='36, 148')\n",
    "plt.scatter(data1['sSFR'][data1['haloid']==64], abs(data1['G_inflow_2.5'][data1['haloid']==64]), label='64, 148')\n",
    "plt.scatter(data2['sSFR'][data2['haloid']==17], abs(data2['G_inflow_2.5'][data2['haloid']==17]), label='17, 229')\n",
    "plt.scatter(data3['sSFR'][data3['haloid']==48], abs(data3['G_inflow_2.5'][data3['haloid']==48]), label='48, 242')\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(1e-7, 100)\n",
    "plt.xlim(1e-14, 1e-6)\n",
    "\n",
    "plt.legend()\n",
    "plt.xlabel('specific SFR', size=15)\n",
    "plt.ylabel(r'n = $M_{in}$', size=15)\n",
    "plt.title('Quenching relationships', size=20)\n",
    "plt.savefig('c')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,7))\n",
    "\n",
    "plt.scatter(data['sSFR'], abs(data['G_inflow_2.5']), c='gold', label='SF')\n",
    "plt.scatter(data['sSFR'][data['sSFR']<1e-11], abs(data['G_inflow_2.5'][data['sSFR']<1e-11]), c='indigo', label='Q')\n",
    "plt.scatter(data1['sSFR'][data1['haloid']==28], abs(data1['G_inflow_2.5'][data1['haloid']==28]), label='28, 148')\n",
    "plt.scatter(data1['sSFR'][data1['haloid']==36], abs(data1['G_inflow_2.5'][data1['haloid']==36]), label='36, 148')\n",
    "plt.scatter(data1['sSFR'][data1['haloid']==64], abs(data1['G_inflow_2.5'][data1['haloid']==64]), label='64, 148')\n",
    "plt.scatter(data2['sSFR'][data2['haloid']==17], abs(data2['G_inflow_2.5'][data2['haloid']==17]), label='17, 229')\n",
    "plt.scatter(data3['sSFR'][data3['haloid']==48], abs(data3['G_inflow_2.5'][data3['haloid']==48]), label='48, 242')\n",
    "\n",
    "#plt.loglog()\n",
    "plt.semilogy()\n",
    "plt.ylim(1e-7, 100)\n",
    "plt.xlim(-1e-9, 5e-9)\n",
    "\n",
    "plt.legend()\n",
    "plt.xlabel('specific SFR', size=15)\n",
    "plt.ylabel(r'$M_{in}$', size=15)\n",
    "plt.title('Quenching relationships', size=20)\n",
    "plt.savefig('c')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "halo28 = h1.load_copy(28)\n",
    "halo28.physical_units()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pynbody.plot.stars.sfh(halo28, filename=None, massform=True, clear=False, legend=False, subplot=False, trange=False, bins=138)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "halo36 = h1.load_copy(36)\n",
    "halo36.physical_units()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pynbody.plot.stars.sfh(halo36, filename=None, massform=True, clear=False, legend=False, subplot=False, trange=False, bins=138)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "halo64 = h1.load_copy(64)\n",
    "halo64.physical_units()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pynbody.plot.stars.sfh(halo64, filename=None, massform=True, clear=False, legend=False, subplot=False, trange=False, bins=138)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "halo17 = h2.load_copy(17)\n",
    "halo17.physical_units()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pynbody.plot.stars.sfh(halo17, filename=None, massform=True, clear=False, legend=False, subplot=False, trange=False, bins=138)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "halo46 = h3.load_copy(46)\n",
    "halo46.physical_units()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pynbody.plot.stars.sfh(halo46, filename=None, massform=True, clear=False, legend=False, subplot=False, trange=False, bins=138)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "s1.gas['mass']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.999997"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "h1[9].properties['fMhires']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The SFH diagrams can also be used as evidence for strangulation since there appears to be a slow decrease in star formation over a long period of time. This process is more gradual than RAM stripping. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(55, 65)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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J8DrgH6rq0cNM73dt1tJ+Y30mcCvwVQYH493d+D8Ct3djf8v//VZ7BvjIvPlvAb7RfV06b3ymm/tN4C/pPoS21K/l5ATeBDwO7Jn3dfaR5k8o50u7bW7rvr913n5PZfAugG8AnwZOmFTO7vom4H66d17MGx/X8Zxi8KzqduBG4KwVuj4XzblC1ucwOceyPnv4N5/o2uxu+zKDV9Lztx/Z2vQTvpLUID/hK0kNsvwlqUGWvyQ1yPKXpAZZ/pLUIMtfkhpk+UtSgyx/SWrQ/wKhv1V+tDnYGwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(Rogue['haloid'], distance_to_nearest_halo(Rogue))\n",
    "plt.xlim(35, 37)\n",
    "plt.ylim(55, 65)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}