{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tables\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1",
   "metadata": {},
   "source": [
    "# DRS4 time sampling files "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2",
   "metadata": {},
   "source": [
    "## HDF5 format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3",
   "metadata": {},
   "outputs": [],
   "source": [
    "file = \"../../../test_data/real/service/PixelCalibration/Cat-A/drs4_time_sampling_from_FF/20191124/pro/time_calibration.Run01625.0000.h5\"\n",
    "hdf5_f=tables.open_file(file, \"r\")\n",
    "hdf5_f"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4",
   "metadata": {},
   "source": [
    "### data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data used for calibration are:\n",
    "# - fan : baseline to be subtracted per channel/pixel/capacitor (2, 1855, 4096)\n",
    "# - fbn : spike to be subtracted, per channel/pixel/spike-type (2, 1855, 3)\n",
    "\n",
    "fan = hdf5_f.root.fan\n",
    "fbn = hdf5_f.root.fbn\n",
    "print(fan.shape)\n",
    "np.array(fan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "_=plt.hist(np.median(fan,axis=2)[0],bins=50,alpha=0.5,range=[-0.13,0.13], label=\"fan HG\")\n",
    "_=plt.hist(np.median(fbn,axis=2)[0],bins=50,alpha=0.5,range=[-0.13,0.13], label=\"fbn LG\")\n",
    "\n",
    "plt.yscale('log')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7",
   "metadata": {},
   "source": [
    "### meta-data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8",
   "metadata": {},
   "outputs": [],
   "source": [
    "hdf5_f.root._v_attrs "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9",
   "metadata": {},
   "source": [
    "## Fits format  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10",
   "metadata": {},
   "outputs": [],
   "source": [
    "from astropy.io import fits\n",
    "\n",
    "file = \"../../../test_data/real/service/PixelCalibration/Cat-A/drs4_time_sampling_from_FF/20191124/pro/time_calibration.Run01625.0000.fits.gz\"\n",
    "fits_f = fits.open(file)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11",
   "metadata": {},
   "source": [
    "### HDU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "12",
   "metadata": {},
   "outputs": [],
   "source": [
    "fits_f.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13",
   "metadata": {},
   "source": [
    "### data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "14",
   "metadata": {},
   "outputs": [],
   "source": [
    "fits_f[\"FAN\"].data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15",
   "metadata": {},
   "source": [
    "### meta-data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16",
   "metadata": {},
   "outputs": [],
   "source": [
    "fits_f[\"PRIMARY\"].header"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "17",
   "metadata": {},
   "outputs": [],
   "source": [
    "fits_f[\"FAN\"].header"
   ]
  }
 ],
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