plot_cl_CHLAT_B.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "77046f13",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "import healpy as hp\n",
    "import numpy as np\n",
    "import pickle\n",
    "import h5py\n",
    "import altair as alt\n",
    "alt.renderers.enable('html')\n",
    "import pandas as pd\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "import pysm3.units as u"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "e78c859a",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "code_show=true; \n",
       "function code_toggle() {\n",
       " if (code_show){\n",
       " $('div.input').hide();\n",
       " } else {\n",
       " $('div.input').show();\n",
       " }\n",
       " code_show = !code_show\n",
       "} \n",
       "$( document ).ready(code_toggle);\n",
       "</script>\n",
       "<form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Click here to toggle on/off the raw code.\"></form>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import HTML\n",
    "\n",
    "HTML('''<script>\n",
    "code_show=true; \n",
    "function code_toggle() {\n",
    " if (code_show){\n",
    " $('div.input').hide();\n",
    " } else {\n",
    " $('div.input').show();\n",
    " }\n",
    " code_show = !code_show\n",
    "} \n",
    "$( document ).ready(code_toggle);\n",
    "</script>\n",
    "<form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Click here to toggle on/off the raw code.\"></form>''')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "81982384",
   "metadata": {
    "papermill": {},
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "input_telescope = \"SAT\"\n",
    "pol = \"T\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "4ee675bd",
   "metadata": {
    "tags": [
     "injected-parameters"
    ]
   },
   "outputs": [],
   "source": [
    "# Parameters\n",
    "input_telescope = \"CHLAT\"\n",
    "pol = \"B\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "1e58d55c",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "selection = {}\n",
    "cl = {}\n",
    "i_pol = \"TEB\".index(pol)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "62d22323",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "site = \"Chile\"\n",
    "telescope = input_telescope[-3:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "14847767",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/mnt/home/azonca/p/software/s4mapbasedsims\n"
     ]
    }
   ],
   "source": [
    "%cd .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "0358cb9e",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "if os.path.basename(os.getcwd()) == \"verification\":\n",
    "    %cd .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "2374470e",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "from astropy.table import QTable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "0b0f2454",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'instrument_model/cmbs4_instrument_model.tbl'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[37], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m chs \u001b[38;5;241m=\u001b[39m \u001b[43mQTable\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43minstrument_model/cmbs4_instrument_model.tbl\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mascii.ipac\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge-pypy3/envs/so/lib/python3.10/site-packages/astropy/table/connect.py:62\u001b[0m, in \u001b[0;36mTableRead.__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     59\u001b[0m units \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mpop(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munits\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[1;32m     60\u001b[0m descriptions \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mpop(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdescriptions\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[0;32m---> 62\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mregistry\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mcls\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     64\u001b[0m \u001b[38;5;66;03m# For some readers (e.g., ascii.ecsv), the returned `out` class is not\u001b[39;00m\n\u001b[1;32m     65\u001b[0m \u001b[38;5;66;03m# guaranteed to be the same as the desired output `cls`.  If so,\u001b[39;00m\n\u001b[1;32m     66\u001b[0m \u001b[38;5;66;03m# try coercing to desired class without copying (io.registry.read\u001b[39;00m\n\u001b[1;32m     67\u001b[0m \u001b[38;5;66;03m# would normally do a copy).  The normal case here is swapping\u001b[39;00m\n\u001b[1;32m     68\u001b[0m \u001b[38;5;66;03m# Table <=> QTable.\u001b[39;00m\n\u001b[1;32m     69\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mcls\u001b[39m \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m out\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m:\n",
      "File \u001b[0;32m~/mambaforge-pypy3/envs/so/lib/python3.10/site-packages/astropy/io/registry/core.py:219\u001b[0m, in \u001b[0;36mUnifiedInputRegistry.read\u001b[0;34m(self, cls, format, cache, *args, **kwargs)\u001b[0m\n\u001b[1;32m    214\u001b[0m     \u001b[38;5;28mformat\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_valid_format(\n\u001b[1;32m    215\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mread\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mcls\u001b[39m, path, fileobj, args, kwargs\n\u001b[1;32m    216\u001b[0m     )\n\u001b[1;32m    218\u001b[0m reader \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_reader(\u001b[38;5;28mformat\u001b[39m, \u001b[38;5;28mcls\u001b[39m)\n\u001b[0;32m--> 219\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[43mreader\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    221\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(data, \u001b[38;5;28mcls\u001b[39m):\n\u001b[1;32m    222\u001b[0m     \u001b[38;5;66;03m# User has read with a subclass where only the parent class is\u001b[39;00m\n\u001b[1;32m    223\u001b[0m     \u001b[38;5;66;03m# registered.  This returns the parent class, so try coercing\u001b[39;00m\n\u001b[1;32m    224\u001b[0m     \u001b[38;5;66;03m# to desired subclass.\u001b[39;00m\n\u001b[1;32m    225\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n",
      "File \u001b[0;32m~/mambaforge-pypy3/envs/so/lib/python3.10/site-packages/astropy/io/ascii/connect.py:19\u001b[0m, in \u001b[0;36mio_read\u001b[0;34m(format, filename, **kwargs)\u001b[0m\n\u001b[1;32m     17\u001b[0m     \u001b[38;5;28mformat\u001b[39m \u001b[38;5;241m=\u001b[39m re\u001b[38;5;241m.\u001b[39msub(\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m^ascii\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mformat\u001b[39m)\n\u001b[1;32m     18\u001b[0m     kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mformat\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mformat\u001b[39m\n\u001b[0;32m---> 19\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge-pypy3/envs/so/lib/python3.10/site-packages/astropy/io/ascii/ui.py:426\u001b[0m, in \u001b[0;36mread\u001b[0;34m(table, guess, **kwargs)\u001b[0m\n\u001b[1;32m    424\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    425\u001b[0m         reader \u001b[38;5;241m=\u001b[39m get_reader(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mnew_kwargs)\n\u001b[0;32m--> 426\u001b[0m         dat \u001b[38;5;241m=\u001b[39m \u001b[43mreader\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtable\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    427\u001b[0m         _read_trace\u001b[38;5;241m.\u001b[39mappend(\n\u001b[1;32m    428\u001b[0m             {\n\u001b[1;32m    429\u001b[0m                 \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mkwargs\u001b[39m\u001b[38;5;124m\"\u001b[39m: copy\u001b[38;5;241m.\u001b[39mdeepcopy(new_kwargs),\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    432\u001b[0m             }\n\u001b[1;32m    433\u001b[0m         )\n\u001b[1;32m    435\u001b[0m \u001b[38;5;66;03m# Static analysis (pyright) indicates `dat` might be left undefined, so just\u001b[39;00m\n\u001b[1;32m    436\u001b[0m \u001b[38;5;66;03m# to be sure define it at the beginning and check here.\u001b[39;00m\n",
      "File \u001b[0;32m~/mambaforge-pypy3/envs/so/lib/python3.10/site-packages/astropy/io/ascii/core.py:1414\u001b[0m, in \u001b[0;36mBaseReader.read\u001b[0;34m(self, table)\u001b[0m\n\u001b[1;32m   1411\u001b[0m     newline \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m   1413\u001b[0m \u001b[38;5;66;03m# Get a list of the lines (rows) in the table\u001b[39;00m\n\u001b[0;32m-> 1414\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlines \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minputter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_lines\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtable\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnewline\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1416\u001b[0m \u001b[38;5;66;03m# Set self.data.data_lines to a slice of lines contain the data rows\u001b[39;00m\n\u001b[1;32m   1417\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata\u001b[38;5;241m.\u001b[39mget_data_lines(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlines)\n",
      "File \u001b[0;32m~/mambaforge-pypy3/envs/so/lib/python3.10/site-packages/astropy/io/ascii/core.py:335\u001b[0m, in \u001b[0;36mBaseInputter.get_lines\u001b[0;34m(self, table, newline)\u001b[0m\n\u001b[1;32m    331\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    332\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(table, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mread\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[1;32m    333\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m table \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\r\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m table \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    334\u001b[0m     ):\n\u001b[0;32m--> 335\u001b[0m         \u001b[38;5;28;01mwith\u001b[39;00m get_readable_fileobj(table, encoding\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mencoding) \u001b[38;5;28;01mas\u001b[39;00m fileobj:\n\u001b[1;32m    336\u001b[0m             table \u001b[38;5;241m=\u001b[39m fileobj\u001b[38;5;241m.\u001b[39mread()\n\u001b[1;32m    337\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m newline \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
      "File \u001b[0;32m~/mambaforge-pypy3/envs/so/lib/python3.10/contextlib.py:135\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__enter__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    133\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkwds, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfunc\n\u001b[1;32m    134\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 135\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    136\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n\u001b[1;32m    137\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgenerator didn\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt yield\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28mNone\u001b[39m\n",
      "File \u001b[0;32m~/mambaforge-pypy3/envs/so/lib/python3.10/site-packages/astropy/utils/data.py:353\u001b[0m, in \u001b[0;36mget_readable_fileobj\u001b[0;34m(name_or_obj, encoding, cache, show_progress, remote_timeout, sources, http_headers, use_fsspec, fsspec_kwargs, close_files)\u001b[0m\n\u001b[1;32m    344\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_url:\n\u001b[1;32m    345\u001b[0m     name_or_obj \u001b[38;5;241m=\u001b[39m download_file(\n\u001b[1;32m    346\u001b[0m         name_or_obj,\n\u001b[1;32m    347\u001b[0m         cache\u001b[38;5;241m=\u001b[39mcache,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    351\u001b[0m         http_headers\u001b[38;5;241m=\u001b[39mhttp_headers,\n\u001b[1;32m    352\u001b[0m     )\n\u001b[0;32m--> 353\u001b[0m fileobj \u001b[38;5;241m=\u001b[39m \u001b[43mio\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mFileIO\u001b[49m\u001b[43m(\u001b[49m\u001b[43mname_or_obj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mr\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    354\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_url \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m cache:\n\u001b[1;32m    355\u001b[0m     delete_fds\u001b[38;5;241m.\u001b[39mappend(fileobj)\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'instrument_model/cmbs4_instrument_model.tbl'"
     ]
    }
   ],
   "source": [
    "chs = QTable.read(\"instrument_model/cmbs4_instrument_model.tbl\", format=\"ascii.ipac\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9234a47d",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "chs = chs[chs[\"telescope\"] == telescope]\n",
    "chs = chs[chs[\"site\"] == site]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f9c1811b",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "chs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5e0a0f5f",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "alt.data_transformers.enable(\"default\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "66a31d6a",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "alt.data_transformers.disable_max_rows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "24faf182",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pysm3 as pysm\n",
    "from pysm3 import units as u"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a8ae89cb",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "import mapsims"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2b86e45a",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "pol_label = [\"TT\", \"EE\", \"BB\"][i_pol]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b0264b8e",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "from glob import glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c691cc42",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "toml_files = glob(\"*.toml\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "04c2fa72",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "toml_files.remove(\"common.toml\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "016dbf13",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "toml_files.remove(\"co_co1.toml\")\n",
    "toml_files.remove(\"co_co3.toml\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fdfe1e3d",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "toml_files.sort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "64097afd",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "pysm_nside = 512 if telescope == \"SAT\" else 2048"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c846280",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "channels = chs[\"band\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4df1a393",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "chs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "63d62c16",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "for config_file in toml_files: \n",
    "    mapsim = mapsims.from_config([\"common.toml\", config_file], override={\"channels\":\"all\"})\n",
    "    component = config_file.split(\".\")[0]\n",
    "    print(component)\n",
    "    filename = f\"output/C_ell_{component}.pkl\"\n",
    "    with open(filename, \"rb\") as f:\n",
    "        cl[component] = pickle.load(f)\n",
    "    sky = pysm.Sky(nside=pysm_nside,\n",
    "                   preset_strings=[mapsim.pysm_components_string],\n",
    "                   output_unit=u.uK_CMB\n",
    "                  )\n",
    "    onecl = pd.DataFrame(\n",
    "        {ch:pd.Series(cl[component][ch][i_pol]) for ch in channels}\n",
    "    ).reset_index().rename(columns={\"index\":\"ell\"})\n",
    "\n",
    "    pysm_emission = sky.get_emission(chs[\"center_frequency\"][0])\n",
    "    label = \"PySM \" + channels[0]\n",
    "\n",
    "\n",
    "    pysm_low = hp.anafast(\n",
    "        pysm_emission,\n",
    "     lmax=int(1.5*pysm_nside), use_pixel_weights=True)[i_pol]\n",
    "    pysm_low *= hp.gauss_beam(chs[0][\"fwhm\"].to_value(u.rad), lmax=int(1.5*pysm_nside))**2\n",
    "    onecl[label] = 0\n",
    "    onecl[label][:len(pysm_low)] = pysm_low\n",
    "\n",
    "    pysm_emission = sky.get_emission(\n",
    "                chs[-1][\"center_frequency\"],\n",
    "            )\n",
    "    label = \"PySM \" + channels[-1]\n",
    "\n",
    "\n",
    "    pysm_high = hp.anafast(\n",
    "            pysm_emission,    \n",
    "        lmax=int(1.5*pysm_nside), use_pixel_weights=True)[i_pol]\n",
    "    pysm_high *= hp.gauss_beam(chs[-1][\"fwhm\"].to_value(u.rad), lmax=int(1.5*pysm_nside))**2\n",
    "    onecl[label] = 0\n",
    "    onecl[label][:len(pysm_high)] = pysm_high\n",
    "\n",
    "    onecl = onecl[onecl.ell != 0]\n",
    "    if telescope == \"LAT\":\n",
    "        decim = np.concatenate([[0], np.logspace(0, 4, 1000, endpoint=False)])\n",
    "        onecl = onecl.iloc[decim,:] # decimate in log scale to make plots smaller\n",
    "\n",
    "    onecl_long = onecl.melt(\"ell\", var_name=\"channel\")\n",
    "    onecl_long[onecl_long.value == 0] = np.nan\n",
    "    selection[component] = alt.selection_multi(fields=['channel'], bind=\"legend\")\n",
    "\n",
    "    chart = alt.Chart(onecl_long, title=component + \" \" + pol_label).mark_line().encode(\n",
    "        x=alt.X(\"ell\", scale=alt.Scale(type='log', base=10, domain=[1,1e4])),\n",
    "        y=alt.Y(\"value\", scale=alt.Scale(type='log', base=10)),\n",
    "        color=alt.Color('channel', \n",
    "            sort=[\"PySM \" + channels[0]] + list(channels) + [\"PySM \" + channels[-1]]\n",
    "                       ),\n",
    "        opacity=alt.condition(selection[component], alt.value(1), alt.value(0.2))\n",
    "    ).add_selection(selection[component]).interactive()\n",
    "    chart.display()\n",
    "    #chart.save(f\"verification/out_plot_cl/{component}_{input_telescope}_{pol}.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ea0611bd",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Make sure the notebook is saved\n",
    "\n",
    "from ipylab import JupyterFrontEnd\n",
    "\n",
    "app = JupyterFrontEnd()\n",
    "app.commands.execute('docmanager:save')"
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "formats": "ipynb,py"
  },
  "kernelspec": {
   "display_name": "so",
   "language": "python",
   "name": "so"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.11"
  },
  "papermill": {
   "default_parameters": {},
   "environment_variables": {},
   "input_path": "plot_cl.ipynb",
   "output_path": "out_plot_cl/plot_cl_CHLAT_B.ipynb",
   "parameters": {
    "input_telescope": "CHLAT",
    "pol": "B"
   },
   "version": "2.4.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}