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    "# LSST ugrizy magnitude distributions\n",
    "\n",
    "Compare the 1D magnitude histograms in the six LSST bands between the Euclid Flagship\n",
    "catalog (`flagship_3.fits`) and the DESC DC1 `OneDegSq.fits` catalog.\n",
    "\n",
    "- Flagship columns: `lsst_u`, `lsst_g`, `lsst_r`, `lsst_i`, `lsst_z`, `lsst_y` (AB magnitudes, after `prepare_flagship.py`).\n",
    "- OneDegSq columns: `u_ab`, `g_ab`, `r_ab`, `i_ab`, `z_ab`, `y_ab`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cell-1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from astropy.table import Table\n",
    "\n",
    "flagship = Table.read(\"../flagship_3.fits\")\n",
    "onedeg = Table.read(\"../OneDegSq.fits\")\n",
    "\n",
    "print(f\"flagship_3: {len(flagship)} rows\")\n",
    "print(f\"OneDegSq  : {len(onedeg)} rows\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cell-2",
   "metadata": {},
   "outputs": [],
   "source": [
    "bands = [\"u\", \"g\", \"r\", \"i\", \"z\", \"y\"]\n",
    "bins = np.linspace(16, 30, 71)\n",
    "\n",
    "fig, axes = plt.subplots(2, 3, figsize=(12, 7), sharex=True, sharey=True)\n",
    "for ax, b in zip(axes.flat, bands):\n",
    "    f = np.asarray(flagship[f\"lsst_{b}\"])\n",
    "    o = np.asarray(onedeg[f\"{b}_ab\"])\n",
    "    f = f[np.isfinite(f)]\n",
    "    o = o[np.isfinite(o)]\n",
    "    ax.hist(f, bins=bins, histtype=\"step\", density=True, label=\"Flagship\", color=\"C0\")\n",
    "    ax.hist(o, bins=bins, histtype=\"step\", density=True, label=\"OneDegSq\", color=\"C1\")\n",
    "    ax.set_title(f\"LSST {b}\")\n",
    "    ax.set_xlabel(\"AB magnitude\")\n",
    "    ax.set_ylabel(\"PDF\")\n",
    "    ax.legend(fontsize=8)\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
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