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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 324,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from astropy.io import fits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {},
   "outputs": [],
   "source": [
    "def g(x, a=1., mu=0., s=1.):\n",
    "    return a*np.exp(-(x-mu)**2/s**2)\n",
    "\n",
    "def heaviside(x,a):\n",
    "    ret = np.zeros_like(x)\n",
    "    ret[x>a] = 1.\n",
    "    return ret\n",
    "\n",
    "def g1(x,a,b,c=1.):\n",
    "    return c*(heaviside(x,a)-heaviside(x,b))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f90d681eb70>]"
      ]
     },
     "execution_count": 255,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = np.linspace(0,1,100)\n",
    "h1 = heaviside(t,0.3)\n",
    "h2 = heaviside(t,0.4)\n",
    "plt.plot(t,h1-h2)\n",
    "plt.plot(t,g1(t,0.3,0.4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "metadata": {},
   "outputs": [],
   "source": [
    "def p_noise(x,s=0.):\n",
    "    return s*np.random.poisson(x)\n",
    "\n",
    "def background(x,s=0.1):\n",
    "    return s*np.random.poisson(np.ones_like(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f90d6d95e10>]"
      ]
     },
     "execution_count": 269,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = np.linspace(0,1.,100)\n",
    "dt = t[1]-t[0]\n",
    "shift = 0.25\n",
    "bg = background(t)\n",
    "lc1 = g(t,mu=0.3,s=0.05)\n",
    "lcn1 = lc1 + p_noise(lc1) + bg\n",
    "lc2 = g(t,mu=0.3+shift,s=0.05)\n",
    "lcn2 = lc2 + p_noise(lc2) + bg\n",
    "plt.plot(t,lcn1)\n",
    "plt.plot(t,lcn2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(199,)"
      ]
     },
     "execution_count": 270,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ccf = np.correlate(lcn1,lcn2, 'full')\n",
    "ccf.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f90d6fc7e48>]"
      ]
     },
     "execution_count": 271,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.arange(len(ccf))*dt-1,ccf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f90d711dbe0>]"
      ]
     },
     "execution_count": 273,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = np.linspace(0,1.,100)\n",
    "dt = t[1]-t[0]\n",
    "shift = 0.25\n",
    "lc1 = g(t,mu=0.3,s=0.05) #+ g(t,mu=0.5,s=0.15)\n",
    "lcn1 = lc1 + p_noise(lc1, 0.0) + bg\n",
    "lc2 = g(t,mu=0.3+shift,s=0.05) #+ g(t,mu=0.5+shift,s=0.15)\n",
    "lcn2 = lc2 + p_noise(lc2, 0.0) + bg\n",
    "plt.plot(t,lcn1)\n",
    "plt.plot(t,lcn2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(199,)"
      ]
     },
     "execution_count": 274,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ccf = np.correlate(lcn1,lcn2, 'full')\n",
    "ccf.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x7f90d7109fd0>"
      ]
     },
     "execution_count": 275,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.arange(len(ccf))*dt-1,ccf)\n",
    "plt.axvline(-shift, linestyle=\":\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 282,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.optimize import curve_fit\n",
    "\n",
    "def gauss(x,a,x0,sigma):\n",
    "    return a*np.exp(-(x-x0)**2/(2*sigma**2))\n",
    "x = np.arange(len(ccf))*dt-1\n",
    "y = ccf\n",
    "popt,pcov = curve_fit(gauss,x,y,p0=[1.,0.25,0.1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 4.90284046, -0.19564818,  0.24075516])"
      ]
     },
     "execution_count": 283,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "popt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f90d74601d0>]"
      ]
     },
     "execution_count": 284,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = np.linspace(0,1.,100)\n",
    "dt = t[1]-t[0]\n",
    "shift = 0.25\n",
    "lc1 = g1(t, 0.3, 0.4)\n",
    "plt.plot(t,lc1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f90d7565a90>]"
      ]
     },
     "execution_count": 286,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lcn1 = lc1 + p_noise(lc1,0.1) + bg\n",
    "lc2 = g1(t ,0.3+shift, 0.4+shift) \n",
    "lcn2 = lc2 + p_noise(lc2,0.1) + bg\n",
    "plt.plot(t,lcn1)\n",
    "plt.plot(t,lcn2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(199,)"
      ]
     },
     "execution_count": 287,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ccf = np.correlate(lcn1,lcn2, 'full')\n",
    "ccf.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x7f90d762d470>"
      ]
     },
     "execution_count": 288,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.arange(len(ccf))*dt-1,ccf)\n",
    "plt.axvline(-shift, linestyle=\":\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 355,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_lc(times, dt, tstart=None, use_hist=False, reset_time=False):\n",
    "    \"\"\"\n",
    "    \"\"\"\n",
    "    times = np.sort(np.asarray(times))\n",
    "    if tstart is None:\n",
    "        tstart = times[0]\n",
    "    duration = times[-1] - tstart\n",
    "    nbin = np.int64(duration / dt)\n",
    "    tend = tstart + nbin * dt\n",
    "    \n",
    "    good = (tstart <= times) & (times < tend)\n",
    "    \n",
    "    if not use_hist:\n",
    "        binned_times = ((times[good] - tstart) // dt).astype(np.int64)\n",
    "        counts = np.bincount(binned_times, minlength=nbin)\n",
    "        t = tstart + np.arange(0.5, 0.5 + len(counts)) * dt\n",
    "    else:\n",
    "        histbins = np.arange(tstart, tend + dt, dt)\n",
    "        counts, histbins = np.histogram(times[good], bins=histbins)\n",
    "        t = histbins[:-1] + 0.5 * dt\n",
    "\n",
    "    if reset_time == True:\n",
    "        t -= t[0]\n",
    "    return t, counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 336,
   "metadata": {},
   "outputs": [],
   "source": [
    "arrival_times = 100*np.random.random(1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f90dbca7198>]"
      ]
     },
     "execution_count": 337,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(arrival_times)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "metadata": {},
   "outputs": [],
   "source": [
    "t,c = make_lc(arrival_times,1.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f90da990ef0>]"
      ]
     },
     "execution_count": 339,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(t,c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 408,
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/2020/bn200224416/current/\n",
    "\n",
    "def get_arrival_times_from_eventlist(bid=\"200412381\", det=5):\n",
    "    fn=\"https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/2020/bn%s/current/glg_tte_n%i_bn%s_v00.fit\"\n",
    "    eventlist=fits.getdata(fn%(bid,det,bid),ext=2)\n",
    "    return eventlist['TIME']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/2020/bn200412381/current/glg_tte_n3_bn200412381_v00.fit [Done]\n"
     ]
    }
   ],
   "source": [
    "arrival_times1=get_arrival_times_from_eventlist(det=5)\n",
    "arrival_times2=get_arrival_times_from_eventlist(det=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 402,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "t1,c1 = make_lc(arrival_times1, dt=1.)\n",
    "t1 = t1-t1[0]\n",
    "c1 = (c1-np.min(c1))/(np.max(c1)-np.min(c1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 403,
   "metadata": {},
   "outputs": [],
   "source": [
    "t2, c2 = make_lc(arrival_times2, dt=1.)\n",
    "t2 = t2-t2[0]\n",
    "c2 = (c2-np.min(c2))/(np.max(c2)-np.min(c2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 404,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f7997501be0>]"
      ]
     },
     "execution_count": 404,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(t1,c1)\n",
    "plt.plot(t2,c2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 405,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f79978783c8>]"
      ]
     },
     "execution_count": 405,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "good = (t1>100) & (t1<200)\n",
    "plt.plot(t1[good],c1[good])\n",
    "plt.plot(t2[good],c2[good])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 406,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(606,)"
      ]
     },
     "execution_count": 406,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ccf = np.correlate(c1,c2, 'same')\n",
    "ccf.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 407,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f7997954208>]"
      ]
     },
     "execution_count": 407,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.arange(len(ccf))*dt-1,ccf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "metadata": {},
   "outputs": [],
   "source": [
    "times = np.sort(np.asarray(arrival_times1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 351,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([6.08375195e+08, 6.08375195e+08, 6.08375195e+08, ...,\n",
       "       6.08375801e+08, 6.08375801e+08, 6.08375801e+08])"
      ]
     },
     "execution_count": 351,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}