{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "77f91ec5-5894-4007-a0b2-000de4b5198e",
   "metadata": {},
   "source": [
    "# Opening and Viewing Datacubes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "09a458ed-e6a0-4c81-810e-3a869e940811",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import os.path as op\n",
    "from astropy.io import fits\n",
    "from astropy.wcs import WCS\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import LogNorm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8dc9b283-ef67-4cb4-a314-2f5a1ea4fe66",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('default')\n",
    "plt.rcParams['axes.linewidth'] = 2\n",
    "plt.rcParams.update({'font.size': 12})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f9f19873-9546-4ef0-9fd8-52fa5f64dbaa",
   "metadata": {},
   "outputs": [],
   "source": [
    "pdr_dir = '/home/jovyan/Hobby-Eberly-Public/HETDEX/pdr/pdr1/'\n",
    "if not op.exists(pdr_dir):\n",
    "    pdr_dir = '/home/jovyan/work/pdr1/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0be9c5c2-d7c1-4a53-8566-dd2b1c131e05",
   "metadata": {},
   "outputs": [],
   "source": [
    "shotid = 20190405020\n",
    "ifuslot = '034'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6eac916d-f89c-4b5a-97de-9514d09ee719",
   "metadata": {},
   "outputs": [],
   "source": [
    "datacube_path = op.join( pdr_dir, 'datacubes', str(shotid), 'dex_cube_{}_{}.fits'.format( shotid, ifuslot))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f93b114-7bcf-443d-a333-e4dd2d653f68",
   "metadata": {},
   "source": [
    "Each IFU datacube is named as `dex_cube_<SHOTID>_<IFUSLOT>.fits`, where:\n",
    "\n",
    "- `<SHOTID>` corresponds to the observation ID (e.g., `20240731009`)\n",
    "- `<IFUSLOT>` is the unique identifier of the IFU (e.g., `013`, `106`)\n",
    "\n",
    "Each FITS file contains a 3D datacube organized as `(wavelength, y, x)` with:\n",
    "- **Spectral resolution:** 1036 bins at 2 Å per pixel\n",
    "- **Spatial resolution:** 104 × 104 pixels at 0.5 arcsec per pixel\n",
    "\n",
    "| Extension | EXTNAME | Description                                                | Data Shape     |\n",
    "|-----------|---------|------------------------------------------------------------|----------------|\n",
    "| 0         | PRIMARY | Primary HDU (header only, no data)                         | None           |\n",
    "| 1         | DATA    | Flux datacube in units of erg s⁻¹ cm⁻² Å⁻¹                | (104, 104, 1036) |\n",
    "| 2         | ERROR   | 1σ error estimates (same units as DATA)                    | (104, 104, 1036) |\n",
    "| 3         | MASK    | Bitmask per voxel indicating quality flags                 | (104, 104, 1036) |\n",
    "\n",
    "Let's explore an example datacube:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e8035ab7-b4fe-45c1-bd29-3adac0e44cd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "hdul = fits.open( datacube_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f662c7e6-6670-4263-8ea7-219dd02e6419",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filename: /home/jovyan/Hobby-Eberly-Public/HETDEX/pdr/pdr1/datacubes/20190405020/dex_cube_20190405020_034.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU       6   ()      \n",
      "  1  DATA          1 CompImageHDU     80   (104, 104, 1036)   float32   \n",
      "  2  ERROR         1 CompImageHDU     80   (104, 104, 1036)   float32   \n",
      "  3  MASK          1 CompImageHDU     80   (104, 104, 1036)   int16 (rescales to uint16)   \n"
     ]
    }
   ],
   "source": [
    "hdul.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7bd7984b-ffae-41d0-85e3-e604bce7ef23",
   "metadata": {},
   "outputs": [],
   "source": [
    "flux = hdul[\"DATA\"].data\n",
    "error = hdul[\"ERROR\"].data\n",
    "mask = hdul[\"MASK\"].data\n",
    "header = hdul[\"DATA\"].header\n",
    "wcs = WCS(header)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3ec9fb4f-f7a6-44c2-a546-e2cf52cdb165",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "XTENSION= 'IMAGE   '           / Image extension                                \n",
       "BITPIX  =                  -32 / array data type                                \n",
       "NAXIS   =                    3 / number of array dimensions                     \n",
       "NAXIS1  =                  104                                                  \n",
       "NAXIS2  =                  104                                                  \n",
       "NAXIS3  =                 1036                                                  \n",
       "PCOUNT  =                    0 / number of parameters                           \n",
       "GCOUNT  =                    1 / number of groups                               \n",
       "WCSAXES =                    3 / Number of coordinate axes                      \n",
       "CRPIX1  =                 52.5 / Pixel coordinate of reference point            \n",
       "CRPIX2  =                 52.5 / Pixel coordinate of reference point            \n",
       "CRPIX3  =                  1.0 / Pixel coordinate of reference point            \n",
       "PC1_1   =    -0.94190093529883 / Coordinate transformation matrix element       \n",
       "PC1_2   =    -0.33589079785428 / Coordinate transformation matrix element       \n",
       "PC2_1   =     0.33589079785428 / Coordinate transformation matrix element       \n",
       "PC2_2   =    -0.94190093529883 / Coordinate transformation matrix element       \n",
       "CDELT1  = -0.00013888888888889 / [deg] Coordinate increment at reference point  \n",
       "CDELT2  =  0.00013888888888889 / [deg] Coordinate increment at reference point  \n",
       "CDELT3  =                  2.0 / [m] Coordinate increment at reference point    \n",
       "CUNIT1  = 'deg'                / Units of coordinate increment and value        \n",
       "CUNIT2  = 'deg'                / Units of coordinate increment and value        \n",
       "CUNIT3  = 'Angstrom'           / Units of coordinate increment and value        \n",
       "CTYPE1  = 'RA---TAN'           / Right ascension, gnomonic projection           \n",
       "CTYPE2  = 'DEC--TAN'           / Declination, gnomonic projection               \n",
       "CTYPE3  = 'WAVE'               / Vacuum wavelength (linear)                     \n",
       "CRVAL1  =      215.68807983398 / [deg] Coordinate value at reference point      \n",
       "CRVAL2  =       52.11502456665 / [deg] Coordinate value at reference point      \n",
       "CRVAL3  =               3470.0 / [m] Coordinate value at reference point        \n",
       "LONPOLE =                180.0 / [deg] Native longitude of celestial pole       \n",
       "LATPOLE =       52.11502456665 / [deg] Native latitude of celestial pole        \n",
       "MJDREF  =                  0.0 / [d] MJD of fiducial time                       \n",
       "RADESYS = 'ICRS'               / Equatorial coordinate system                   \n",
       "FILETIME= '2025-08-21 05:17:22'                                                 \n",
       "SURVEY  = 'hdr5    '                                                            \n",
       "MASK    = 'True    '                                                            \n",
       "CONVOLVE= 'False   '                                                            \n",
       "INTERP  = 'linear  '                                                            \n",
       "FFSKY   = 'False   '                                                            \n",
       "FFSKYRC = 'False   '                                                            \n",
       "SHOTID  =          20190405020                                                  \n",
       "FIELD   = 'dex-spring'                                                          \n",
       "OBJID   = 'DEXsp6210'                                                           \n",
       "DATE    =             20190405                                                  \n",
       "OBSID   =                   20                                                  \n",
       "RA      =           215.707429                                                  \n",
       "DEC     =            52.045023                                                  \n",
       "PA      =            68.823284                                                  \n",
       "N_IFU   =                   46                                                  \n",
       "FWHM    =            1.4450058                                                  \n",
       "FWHM_ERR=           0.26003242                                                  \n",
       "RESPONSE=               0.1634                                                  \n",
       "RELFLUX1=            0.9259281                                                  \n",
       "RELFLUX2=           0.96205336                                                  \n",
       "RELFLUX3=            0.9308363                                                  \n",
       "AMBTEMP =            15.331111                                                  \n",
       "DATEVOBS= '20190405v020'                                                        \n",
       "DEWPOINT=            -7.733333                                                  \n",
       "EXPNUM1 =                    1                                                  \n",
       "EXPNUM2 =                    2                                                  \n",
       "EXPNUM3 =                    3                                                  \n",
       "EXPTIME1=            368.14905                                                  \n",
       "EXPTIME2=             367.9503                                                  \n",
       "EXPTIME3=             368.7482                                                  \n",
       "HUMIDITY=               16.498                                                  \n",
       "MJD1    =             58578.24                                                  \n",
       "MJD2    =            58578.242                                                  \n",
       "MJD3    =            58578.246                                                  \n",
       "OBSIND  =                    1                                                  \n",
       "PRESSURE=             803.3867                                                  \n",
       "STRUCTAZ=             41.27882                                                  \n",
       "TIME    = '0541459 '                                                            \n",
       "TRAJCDEC=            52.044964                                                  \n",
       "TRAJCPA =             67.28403                                                  \n",
       "TRAJCRA =            215.70683                                                  \n",
       "BUNIT   = '1e-17 erg s^-1 cm^-2'                                                \n",
       "SPECBW  =                  2.0                                                  \n",
       "EXTNAME = 'DATA    '           / extension name                                 \n",
       "CHECKSUM= 'WgffaecdXecdaecd'   / HDU checksum updated 2026-03-05T16:31:10       \n",
       "DATASUM = '3424986665'         / data unit checksum updated 2026-03-05T16:31:10 \n",
       "HISTORY BUNIT updated: flux per pixel (removed arcsec^-2).                      "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# information about the IFU observation can be found \n",
    "header"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "469f59b5-4589-467f-a637-7229ad2b874d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Select a wavelength slice (e.g., central wavelength)\n",
    "z_index = 950\n",
    "\n",
    "# Get corresponding wavelength (in Å)\n",
    "wavelength_angstrom = wcs.wcs_pix2world(0, 0, z_index, 0)[2]\n",
    "\n",
    "# Slice the cube at the wavelength index\n",
    "flux_slice = flux[z_index, :, :]\n",
    "error_slice = error[z_index, :, :]\n",
    "mask_slice = mask[z_index, :, :]\n",
    "\n",
    "# Plotting\n",
    "fig, axes = plt.subplots(1, 3, figsize=(15, 5), subplot_kw={'projection': wcs.celestial})\n",
    "plt.subplots_adjust(wspace=0.4)\n",
    "\n",
    "# Shared image display settings\n",
    "im_kwargs = dict(origin='lower', interpolation='none')\n",
    "\n",
    "# Panel 1: Flux\n",
    "im0 = axes[0].imshow(flux_slice, cmap='viridis', **im_kwargs)\n",
    "axes[0].set_title(\"Flux\", fontsize=14)\n",
    "axes[0].set_xlabel(\"RA\", fontsize=12)\n",
    "axes[0].set_ylabel(\"Dec\", fontsize=12)\n",
    "axes[0].coords[0].set_axislabel('RA')\n",
    "axes[0].coords[1].set_axislabel('Dec')\n",
    "plt.colorbar(im0, ax=axes[0], fraction=0.046, pad=0.04, label=\"Flux (erg s$^{-1}$ cm$^{-2}$ Å$^{-1}$)\")\n",
    "\n",
    "# Panel 2: Error\n",
    "im1 = axes[1].imshow(error_slice, cmap='magma', **im_kwargs)\n",
    "axes[1].set_title(\"Error (1σ)\", fontsize=14)\n",
    "axes[1].set_xlabel(\"RA\")\n",
    "axes[1].set_ylabel(\"Dec\")\n",
    "axes[1].coords[0].set_axislabel('')\n",
    "axes[1].coords[1].set_axislabel('')\n",
    "plt.colorbar(im1, ax=axes[1], fraction=0.046, pad=0.04)\n",
    "\n",
    "# Panel 3: Mask\n",
    "im2 = axes[2].imshow(mask_slice, cmap='inferno', norm=LogNorm(vmin=1, vmax=4096), **im_kwargs)\n",
    "axes[2].set_title(\"Mask (bitmask)\", fontsize=14)\n",
    "axes[2].set_xlabel(\"RA\")\n",
    "axes[2].set_ylabel(\"Dec\")\n",
    "axes[2].coords[0].set_axislabel('')\n",
    "axes[2].coords[1].set_axislabel('')\n",
    "plt.colorbar(im2, ax=axes[2], fraction=0.046, pad=0.04, label=\"Bitmask value\")\n",
    "\n",
    "# Title with wavelength\n",
    "plt.suptitle(f\"Wavelength slice: {wavelength_angstrom:.1f} Å\", fontsize=16)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "22a9e61b-7926-45c7-b79c-36c4eaccb4df",
   "metadata": {},
   "outputs": [],
   "source": [
    "# close the fits HDU when done\n",
    "hdul.close()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.13.13"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}