{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Generate synchrotron amplitude map\n"
   ],
   "id": "d8f246b766ea"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import healpy as hp\n",
    "from pathlib import Path"
   ],
   "id": "f7335ca1a069"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "datadir=Path(\"data/\")\n",
    "output_dir = Path(\"production-data/synch\")\n",
    "output_dir_raw = output_dir / \"raw\""
   ],
   "id": "a76e33bd29bc"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "output_nside = 2048"
   ],
   "id": "13c78ea58101"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "output_lmax = int(min(2.5*output_nside, 8192*2))"
   ],
   "id": "6221c18f993b"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "comp = \"synch\"\n",
    "sub = \"template\""
   ],
   "id": "3de296d6054c"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Large scales"
   ],
   "id": "673fd732e2fa"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "largescale_filename = [f\"{comp}_largescale_{sub}_logpoltens_alm_lmax128_2023.02.24.fits.gz\"]"
   ],
   "id": "928aae16381e"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "assert len(largescale_filename) == 1"
   ],
   "id": "e1a6b95ab9f9"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "largescale_filename = largescale_filename[0]"
   ],
   "id": "dfc8351eba0b"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "largescale_filename"
   ],
   "id": "4aad9493b58a"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "alm_log_pol_tens_large_scale = hp.read_alm(largescale_filename, hdu=(1,2,3))"
   ],
   "id": "cd2adbac6877"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "map_log_pol_tens_large_scale = hp.alm2map(alm_log_pol_tens_large_scale.astype(np.complex128), nside=output_nside)"
   ],
   "id": "9f1ca3364f9a"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "del alm_log_pol_tens_large_scale"
   ],
   "id": "d5fdcf423c40"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Small scales modulation"
   ],
   "id": "0cb54dd56a8d"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "modulate_alm = { k:hp.read_alm(output_dir_raw/f\"synch_{k}_modulation_alms_lmax64_2023.02.24.fits.gz\").astype(np.complex128) for k in [\"temperature\",\"polarization\"] }"
   ],
   "id": "910f656b3be7"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Small scales"
   ],
   "id": "15019f8fd423"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cl_small_scale = hp.read_cl(output_dir_raw / \"synch_small_scales_cl_lmax16384_2023.02.24.fits.gz\")"
   ],
   "id": "3cfb90cc3dae"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "synalm_lmax = 8192*2 # for reproducibility\n",
    "# synalm_lmax = 512\n",
    "\n",
    "np.random.seed(555)\n",
    "\n",
    "alm_log_pol_tens_small_scale = hp.synalm(\n",
    "    list(cl_small_scale),\n",
    "    lmax=synalm_lmax,\n",
    "    new=True,\n",
    ")\n",
    "\n",
    "alm_log_pol_tens_small_scale = [hp.almxfl(each, np.ones(output_lmax+1)) for each in alm_log_pol_tens_small_scale]\n",
    "map_log_pol_tens_small_scale = hp.alm2map(alm_log_pol_tens_small_scale, nside=output_nside)\n",
    "del alm_log_pol_tens_small_scale\n",
    "map_log_pol_tens_small_scale[0] *= hp.alm2map(modulate_alm[\"temperature\"], output_nside)\n",
    "map_log_pol_tens_small_scale[1:] *= hp.alm2map(modulate_alm[\"polarization\"], output_nside)\n",
    "assert np.isnan(map_log_pol_tens_small_scale).sum() == 0"
   ],
   "id": "abd0558e95f5"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Combine scales\n",
    "\n",
    "* Combine small and large scale maps\n",
    "* Transform from logpoltens to IQU\n",
    "* Write output map"
   ],
   "id": "c45da79b4008"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "map_log_pol_tens = map_log_pol_tens_large_scale + map_log_pol_tens_small_scale"
   ],
   "id": "b7738e8634ec"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "del map_log_pol_tens_large_scale, map_log_pol_tens_small_scale"
   ],
   "id": "0aae26121905"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pysm3.utils import log_pol_tens_to_map, add_metadata"
   ],
   "id": "0b2054429ff0"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "output_map = log_pol_tens_to_map(map_log_pol_tens)"
   ],
   "id": "bc50e9b72481"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Galactic plane fix"
   ],
   "id": "f677d0f26003"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "galplane_fix = hp.read_map(output_dir_raw / \"synch_galplane.fits.gz\", (0, 1, 2, 3))"
   ],
   "id": "7dbdde1c5738"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "output_map *= hp.ud_grade(galplane_fix[3], output_nside)\n",
    "output_map += hp.ud_grade(galplane_fix[:3] * (1 - galplane_fix[3]), output_nside)"
   ],
   "id": "ffc73476bf3a"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "if output_nside < 4096:\n",
    "    hp.mollview((output_map - log_pol_tens_to_map(map_log_pol_tens))[0])\n",
    "    hp.mollview(output_map[0])"
   ],
   "id": "944f675e1a45"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Write outputs"
   ],
   "id": "f1cd4c15fbf9"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import date\n",
    "today = date.today()\n",
    "version = today.strftime(\"%Y.%m.%d\")\n",
    "version"
   ],
   "id": "547b23bd7f59"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hp.write_map(output_dir / f\"synch_template_nside{output_nside}_{version}.fits\", output_map, dtype=np.float32, overwrite=True)"
   ],
   "id": "860aa4c7aa3b"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "add_metadata([output_dir / f\"synch_template_nside{output_nside}_{version}.fits\"], coord=\"G\", unit=\"uK_RJ\", ref_freq=\"23 GHz\")"
   ],
   "id": "e1bca5588bf0"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [],
   "id": "a33736913fdf"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pycmb",
   "language": "python",
   "name": "pycmb"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}