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zonca/out_plot_cl_T.ipynb

Created March 3, 2025 23:18
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out_plot_cl_T.ipynb
{
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{
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"tags": []
},
"outputs": [],
"source": [
"import healpy as hp\n",
"import numpy as np\n",
"import pickle\n",
"import h5py\n",
"import altair as alt\n",
"\n",
"alt.renderers.enable(\"html\")\n",
"import pandas as pd\n",
"import warnings\n",
"\n",
"warnings.filterwarnings(\"ignore\")\n",
"import pysm3.units as u"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "52034bc8",
"metadata": {
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"outputs": [
{
"data": {
"text/html": [
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" } 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>"
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"text/plain": [
"<IPython.core.display.HTML object>"
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"execution_count": 2,
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"source": [
"from IPython.display import HTML\n",
"\n",
"HTML(\n",
" \"\"\"<script>\n",
"code_show=true; \n",
"function code_toggle() {\n",
" if (code_show){\n",
" $('div.input').hide();\n",
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" $('div.input').show();\n",
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" code_show = !code_show\n",
"} \n",
"$( 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>\"\"\"\n",
")"
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{
"cell_type": "code",
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"id": "b5810c81",
"metadata": {
"execution": {
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"tags": [
"parameters"
]
},
"outputs": [],
"source": [
"pol = \"T\""
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "6909a246",
"metadata": {
"execution": {
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"tags": [
"injected-parameters"
]
},
"outputs": [],
"source": [
"# Parameters\n",
"pol = \"T\"\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "3340adb8",
"metadata": {
"execution": {
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},
"tags": []
},
"outputs": [],
"source": [
"selection = {}\n",
"cl = {}\n",
"i_pol = \"TEB\".index(pol)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "4c085e0a",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:13:30.803552Z",
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"status": "completed"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/mnt/home/azonca/p/software/map_based_simulations/mbs-s0019-20250221\n"
]
}
],
"source": [
"%cd .."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "4e4b348e",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:13:30.813390Z",
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"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"import os\n",
"\n",
"if os.path.basename(os.getcwd()) == \"verification\":\n",
" %cd .."
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "63e5120c",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:13:30.822115Z",
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"start_time": "2025-03-03T23:13:30.818777",
"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"from astropy.table import QTable"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "bae488d2",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:13:30.831047Z",
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"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"chs = QTable.read(\"instrument_model/instrument_model.tbl\", format=\"ascii.ipac\")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "b50d3454",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:13:30.843413Z",
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"tags": []
},
"outputs": [
{
"data": {
"text/html": [
"<div><i>QTable length=5</i>\n",
"<table id=\"table23453756123344\" class=\"table-striped table-bordered table-condensed\">\n",
"<thead><tr><th>telescope</th><th>band</th><th>fwhm</th><th>center_frequency</th><th>nside</th><th>bandpass_file</th><th>beam_file</th></tr></thead>\n",
"<thead><tr><th></th><th></th><th>arcmin</th><th>GHz</th><th></th><th></th><th></th></tr></thead>\n",
"<thead><tr><th>str4</th><th>str2</th><th>float64</th><th>float64</th><th>int64</th><th>str15</th><th>str11</th></tr></thead>\n",
"<tr><td>WMAP</td><td>K</td><td>52.8</td><td>22.451910974502667</td><td>512</td><td>bandpass_K.tbl</td><td>beam_K.tbl</td></tr>\n",
"<tr><td>WMAP</td><td>Ka</td><td>39.6</td><td>32.706607212937314</td><td>512</td><td>bandpass_Ka.tbl</td><td>beam_Ka.tbl</td></tr>\n",
"<tr><td>WMAP</td><td>Q</td><td>30.6</td><td>40.36343387766631</td><td>512</td><td>bandpass_Q.tbl</td><td>beam_Q.tbl</td></tr>\n",
"<tr><td>WMAP</td><td>V</td><td>21.0</td><td>60.07932358223898</td><td>512</td><td>bandpass_V.tbl</td><td>beam_V.tbl</td></tr>\n",
"<tr><td>WMAP</td><td>W</td><td>13.2</td><td>92.82552325276862</td><td>512</td><td>bandpass_W.tbl</td><td>beam_W.tbl</td></tr>\n",
"</table></div>"
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"text/plain": [
"<QTable length=5>\n",
"telescope band fwhm center_frequency nside bandpass_file beam_file \n",
" arcmin GHz \n",
" str4 str2 float64 float64 int64 str15 str11 \n",
"--------- ---- ------- ------------------ ----- --------------- -----------\n",
" WMAP K 52.8 22.451910974502667 512 bandpass_K.tbl beam_K.tbl\n",
" WMAP Ka 39.6 32.706607212937314 512 bandpass_Ka.tbl beam_Ka.tbl\n",
" WMAP Q 30.6 40.36343387766631 512 bandpass_Q.tbl beam_Q.tbl\n",
" WMAP V 21.0 60.07932358223898 512 bandpass_V.tbl beam_V.tbl\n",
" WMAP W 13.2 92.82552325276862 512 bandpass_W.tbl beam_W.tbl"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"chs"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "f8045317",
"metadata": {
"execution": {
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"status": "completed"
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"DataTransformerRegistry.enable('default')"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"alt.data_transformers.enable(\"default\")"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "309e5a1b",
"metadata": {
"execution": {
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"status": "completed"
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"DataTransformerRegistry.enable('default')"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"alt.data_transformers.disable_max_rows()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "2681dc72",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:13:30.873847Z",
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"start_time": "2025-03-03T23:13:30.870085",
"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"import pysm3 as pysm\n",
"from pysm3 import units as u"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "c0185404",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:13:30.883248Z",
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"end_time": "2025-03-03T23:13:30.889678",
"exception": false,
"start_time": "2025-03-03T23:13:30.879434",
"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"import mapsims"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "4d78566e",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:13:30.896462Z",
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"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"pol_label = [\"TT\", \"EE\", \"BB\"][i_pol]"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "581608a4",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:13:30.905913Z",
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},
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"exception": false,
"start_time": "2025-03-03T23:13:30.902160",
"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"from glob import glob"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "4a3cf7b3",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:13:30.915296Z",
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"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"toml_files = glob(\"*.toml\")"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "d497593c",
"metadata": {
"execution": {
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"start_time": "2025-03-03T23:13:30.921213",
"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"toml_files.remove(\"common.toml\")"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "578f3b50",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:13:30.934414Z",
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"exception": false,
"start_time": "2025-03-03T23:13:30.930600",
"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"toml_files.remove(\"co_co1.toml\")\n",
"toml_files.remove(\"co_co3.toml\")"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "82ccc08a",
"metadata": {
"execution": {
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"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"toml_files.sort()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "be318c2c",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:13:30.953828Z",
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"status": "completed"
},
"tags": []
},
"outputs": [],
"source": [
"pysm_nside = 512"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "69ef1e2e",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:13:30.963353Z",
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"telescope band fwhm center_frequency nside bandpass_file beam_file \n",
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" #altair-viz-352d9ab2f75d4bcbb087dcccffcf0595.vega-embed {\n",
" width: 100%;\n",
" display: flex;\n",
" }\n",
"\n",
" #altair-viz-352d9ab2f75d4bcbb087dcccffcf0595.vega-embed details,\n",
" #altair-viz-352d9ab2f75d4bcbb087dcccffcf0595.vega-embed details summary {\n",
" position: relative;\n",
" }\n",
"</style>\n",
"<div id=\"altair-viz-352d9ab2f75d4bcbb087dcccffcf0595\"></div>\n",
"<script type=\"text/javascript\">\n",
" var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
" (function(spec, embedOpt){\n",
" let outputDiv = document.currentScript.previousElementSibling;\n",
" if (outputDiv.id !== \"altair-viz-352d9ab2f75d4bcbb087dcccffcf0595\") {\n",
" outputDiv = document.getElementById(\"altair-viz-352d9ab2f75d4bcbb087dcccffcf0595\");\n",
" }\n",
" const paths = {\n",
" \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
" \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
" \"vega-lite\": \"https://cdn.jsdelivr.net/npm/[email protected]?noext\",\n",
" \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
" };\n",
"\n",
" function maybeLoadScript(lib, version) {\n",
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" return (VEGA_DEBUG[key] == version) ?\n",
" Promise.resolve(paths[lib]) :\n",
" new Promise(function(resolve, reject) {\n",
" var s = document.createElement('script');\n",
" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
" s.async = true;\n",
" s.onload = () => {\n",
" VEGA_DEBUG[key] = version;\n",
" return resolve(paths[lib]);\n",
" };\n",
" s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
" s.src = paths[lib];\n",
" });\n",
" }\n",
"\n",
" function showError(err) {\n",
" outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
" throw err;\n",
" }\n",
"\n",
" function displayChart(vegaEmbed) {\n",
" vegaEmbed(outputDiv, spec, embedOpt)\n",
" .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
" }\n",
"\n",
" if(typeof define === \"function\" && define.amd) {\n",
" requirejs.config({paths});\n",
" require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
" } else {\n",
" maybeLoadScript(\"vega\", \"5\")\n",
" .then(() => maybeLoadScript(\"vega-lite\", \"5.20.1\"))\n",
" .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
" .catch(showError)\n",
" .then(() => displayChart(vegaEmbed));\n",
" }\n",
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9.454428544573917e-05}, {\"ell\": 230.0, \"channel\": \"PySM K\", \"value\": 6.836997843173744e-05}, {\"ell\": 247.0, \"channel\": \"PySM K\", \"value\": 4.620316341335454e-05}, {\"ell\": 266.0, \"channel\": \"PySM K\", \"value\": 2.972646244661161e-05}, {\"ell\": 285.0, \"channel\": \"PySM K\", \"value\": 1.6372851096143257e-05}, {\"ell\": 307.0, \"channel\": \"PySM K\", \"value\": 9.871960379517081e-06}, {\"ell\": 329.0, \"channel\": \"PySM K\", \"value\": 4.30849648824966e-06}, {\"ell\": 354.0, \"channel\": \"PySM K\", \"value\": 2.0137326456822846e-06}, {\"ell\": 380.0, \"channel\": \"PySM K\", \"value\": 7.28821753545277e-07}, {\"ell\": 408.0, \"channel\": \"PySM K\", \"value\": 2.5071433439426594e-07}, {\"ell\": 438.0, \"channel\": \"PySM K\", \"value\": 8.754600347299918e-08}, {\"ell\": 471.0, \"channel\": \"PySM K\", \"value\": 2.4763682703369675e-08}, {\"ell\": 505.0, \"channel\": \"PySM K\", \"value\": 5.042404373834185e-09}, {\"ell\": 543.0, \"channel\": \"PySM K\", \"value\": 8.743568334165536e-10}, {\"ell\": 583.0, \"channel\": \"PySM K\", \"value\": 1.0754649274812994e-10}, {\"ell\": 626.0, \"channel\": \"PySM K\", \"value\": 1.0945369521747393e-11}, {\"ell\": 673.0, \"channel\": \"PySM K\", \"value\": 7.410448169004535e-13}, {\"ell\": 723.0, \"channel\": \"PySM K\", \"value\": 3.6890757318633987e-14}, {\"ell\": null, \"channel\": null, \"value\": null}, {\"ell\": null, \"channel\": null, \"value\": null}, {\"ell\": null, \"channel\": null, \"value\": null}, {\"ell\": null, \"channel\": null, \"value\": null}, {\"ell\": null, \"channel\": null, \"value\": null}, {\"ell\": null, \"channel\": null, \"value\": null}, {\"ell\": null, \"channel\": null, \"value\": null}, {\"ell\": 1.0, \"channel\": \"PySM W\", \"value\": 0.00400595235536423}, {\"ell\": 2.0, \"channel\": \"PySM W\", \"value\": 0.0015124724039653698}, {\"ell\": 2.0, \"channel\": \"PySM W\", \"value\": 0.0015124724039653698}, {\"ell\": 2.0, \"channel\": \"PySM W\", \"value\": 0.0015124724039653698}, {\"ell\": 2.0, \"channel\": \"PySM W\", \"value\": 0.0015124724039653698}, {\"ell\": 2.0, \"channel\": \"PySM W\", \"value\": 0.0015124724039653698}, {\"ell\": 2.0, \"channel\": \"PySM W\", \"value\": 0.0015124724039653698}, {\"ell\": 2.0, \"channel\": \"PySM W\", \"value\": 0.0015124724039653698}, {\"ell\": 2.0, \"channel\": \"PySM W\", \"value\": 0.0015124724039653698}, {\"ell\": 2.0, \"channel\": \"PySM W\", \"value\": 0.0015124724039653698}, {\"ell\": 2.0, \"channel\": \"PySM W\", \"value\": 0.0015124724039653698}, {\"ell\": 3.0, \"channel\": \"PySM W\", \"value\": 0.003501684422144269}, {\"ell\": 3.0, \"channel\": \"PySM W\", \"value\": 0.003501684422144269}, {\"ell\": 3.0, \"channel\": \"PySM W\", \"value\": 0.003501684422144269}, {\"ell\": 3.0, \"channel\": \"PySM W\", \"value\": 0.003501684422144269}, {\"ell\": 3.0, \"channel\": \"PySM W\", \"value\": 0.003501684422144269}, {\"ell\": 3.0, \"channel\": \"PySM W\", \"value\": 0.003501684422144269}, {\"ell\": 4.0, \"channel\": \"PySM W\", \"value\": 0.006641114374100292}, {\"ell\": 4.0, \"channel\": \"PySM W\", \"value\": 0.006641114374100292}, {\"ell\": 4.0, \"channel\": \"PySM W\", \"value\": 0.006641114374100292}, {\"ell\": 4.0, \"channel\": \"PySM W\", \"value\": 0.006641114374100292}, {\"ell\": 5.0, \"channel\": \"PySM W\", \"value\": 0.003113443692025675}, {\"ell\": 5.0, \"channel\": \"PySM W\", \"value\": 0.003113443692025675}, {\"ell\": 5.0, \"channel\": \"PySM W\", \"value\": 0.003113443692025675}, {\"ell\": 6.0, \"channel\": \"PySM W\", \"value\": 0.0012058554476740244}, {\"ell\": 6.0, \"channel\": \"PySM W\", \"value\": 0.0012058554476740244}, {\"ell\": 6.0, \"channel\": \"PySM W\", \"value\": 0.0012058554476740244}, {\"ell\": 7.0, \"channel\": \"PySM W\", \"value\": 0.004294669432016921}, {\"ell\": 7.0, \"channel\": \"PySM W\", \"value\": 0.004294669432016921}, {\"ell\": 8.0, \"channel\": \"PySM W\", \"value\": 0.004503536921042572}, {\"ell\": 8.0, \"channel\": \"PySM W\", \"value\": 0.004503536921042572}, {\"ell\": 9.0, \"channel\": \"PySM W\", \"value\": 0.0022413150803640485}, {\"ell\": 10.0, \"channel\": \"PySM W\", \"value\": 0.002770265697119907}, {\"ell\": 10.0, \"channel\": \"PySM W\", \"value\": 0.002770265697119907}, {\"ell\": 11.0, \"channel\": \"PySM W\", \"value\": 0.0037852931245413337}, {\"ell\": 12.0, \"channel\": \"PySM W\", \"value\": 0.0029285006575198802}, {\"ell\": 13.0, \"channel\": \"PySM W\", \"value\": 0.0033248691348899055}, {\"ell\": 14.0, \"channel\": \"PySM W\", \"value\": 0.0015526158775963452}, {\"ell\": 15.0, \"channel\": \"PySM W\", \"value\": 0.0019066377099738836}, {\"ell\": 16.0, \"channel\": \"PySM W\", \"value\": 0.0028579093564240466}, {\"ell\": 17.0, \"channel\": \"PySM W\", \"value\": 0.002265560736565816}, {\"ell\": 18.0, \"channel\": \"PySM W\", \"value\": 0.002959269336834901}, {\"ell\": 19.0, \"channel\": \"PySM W\", \"value\": 0.002040790639500023}, {\"ell\": 21.0, \"channel\": \"PySM W\", \"value\": 0.001921105266406705}, {\"ell\": 22.0, \"channel\": \"PySM W\", \"value\": 0.0023577964522517995}, {\"ell\": 24.0, \"channel\": \"PySM W\", \"value\": 0.0021584304390963338}, {\"ell\": 26.0, \"channel\": \"PySM W\", \"value\": 0.0024282459444467087}, {\"ell\": 27.0, \"channel\": \"PySM W\", \"value\": 0.00240998668308449}, {\"ell\": 29.0, \"channel\": \"PySM W\", \"value\": 0.001902528561120768}, {\"ell\": 32.0, \"channel\": \"PySM W\", \"value\": 0.0013003196848213711}, {\"ell\": 34.0, \"channel\": \"PySM W\", \"value\": 0.00215238747546352}, {\"ell\": 36.0, \"channel\": \"PySM W\", \"value\": 0.001657962991656798}, {\"ell\": 39.0, \"channel\": \"PySM W\", \"value\": 0.0017036920365959753}, {\"ell\": 42.0, \"channel\": \"PySM W\", \"value\": 0.0013885780413298676}, {\"ell\": 45.0, \"channel\": \"PySM W\", \"value\": 0.0015410672822622153}, {\"ell\": 48.0, \"channel\": \"PySM W\", \"value\": 0.0017614491682707272}, {\"ell\": 52.0, \"channel\": \"PySM W\", \"value\": 0.001713628761679449}, {\"ell\": 55.0, \"channel\": \"PySM W\", \"value\": 0.0011345894488920805}, {\"ell\": 60.0, \"channel\": \"PySM W\", \"value\": 0.0009806385964757304}, {\"ell\": 64.0, \"channel\": \"PySM W\", \"value\": 0.0010170338782511485}, {\"ell\": 69.0, \"channel\": \"PySM W\", \"value\": 0.0009726728032999119}, {\"ell\": 74.0, \"channel\": \"PySM W\", \"value\": 0.0009585635944269162}, {\"ell\": 79.0, \"channel\": \"PySM W\", \"value\": 0.0009764026860695575}, {\"ell\": 85.0, \"channel\": \"PySM W\", \"value\": 0.0010759347476960218}, {\"ell\": 91.0, \"channel\": \"PySM W\", \"value\": 0.0008373668199362132}, {\"ell\": 98.0, \"channel\": \"PySM W\", \"value\": 0.0008327382138567415}, {\"ell\": 105.0, \"channel\": \"PySM W\", \"value\": 0.0009427531600974452}, {\"ell\": 113.0, \"channel\": \"PySM W\", \"value\": 0.0006798172088942284}, {\"ell\": 121.0, \"channel\": \"PySM W\", \"value\": 0.0008401608526731958}, {\"ell\": 130.0, \"channel\": \"PySM W\", \"value\": 0.0006718804725788758}, {\"ell\": 140.0, \"channel\": \"PySM W\", \"value\": 0.0006237907562182004}, {\"ell\": 150.0, \"channel\": \"PySM W\", \"value\": 0.0005838531350267195}, {\"ell\": 161.0, \"channel\": \"PySM W\", \"value\": 0.0005286253165486538}, {\"ell\": 173.0, \"channel\": \"PySM W\", \"value\": 0.0004899727232604927}, {\"ell\": 186.0, \"channel\": \"PySM W\", \"value\": 0.0004412904882110911}, {\"ell\": 200.0, \"channel\": \"PySM W\", \"value\": 0.0004234310366060272}, {\"ell\": 214.0, \"channel\": \"PySM W\", \"value\": 0.0003762003563544671}, {\"ell\": 230.0, \"channel\": \"PySM W\", \"value\": 0.00036138594935136806}, {\"ell\": 247.0, \"channel\": \"PySM W\", \"value\": 0.0003376943918388447}, {\"ell\": 266.0, \"channel\": \"PySM W\", \"value\": 0.0003207356902405967}, {\"ell\": 285.0, \"channel\": \"PySM W\", \"value\": 0.0002684019641236937}, {\"ell\": 307.0, \"channel\": \"PySM W\", \"value\": 0.0002722876333174347}, {\"ell\": 329.0, \"channel\": \"PySM W\", \"value\": 0.000207816309794037}, {\"ell\": 354.0, \"channel\": \"PySM W\", \"value\": 0.00019210386641664072}, {\"ell\": 380.0, \"channel\": \"PySM W\", \"value\": 0.00014898763289136762}, {\"ell\": 408.0, \"channel\": \"PySM W\", \"value\": 0.00012369506217482643}, {\"ell\": 438.0, \"channel\": \"PySM W\", \"value\": 0.00011899349477403067}, {\"ell\": 471.0, \"channel\": \"PySM W\", \"value\": 0.00011149014852391562}, {\"ell\": 505.0, \"channel\": \"PySM W\", \"value\": 8.5390789812128e-05}, {\"ell\": 543.0, \"channel\": \"PySM W\", \"value\": 7.259245970905247e-05}, {\"ell\": 583.0, \"channel\": \"PySM W\", \"value\": 5.3902241529994105e-05}, {\"ell\": 626.0, \"channel\": \"PySM W\", \"value\": 4.369444124567878e-05}, {\"ell\": 673.0, \"channel\": \"PySM W\", \"value\": 3.383158030854809e-05}, {\"ell\": 723.0, \"channel\": \"PySM W\", \"value\": 2.730434314696745e-05}, {\"ell\": null, \"channel\": null, \"value\": null}, {\"ell\": null, \"channel\": null, \"value\": null}, {\"ell\": null, \"channel\": null, \"value\": null}, {\"ell\": null, \"channel\": null, \"value\": null}, {\"ell\": null, \"channel\": null, \"value\": null}, {\"ell\": null, \"channel\": null, \"value\": null}, {\"ell\": null, \"channel\": null, \"value\": null}]}}, {\"mode\": \"vega-lite\"});\n",
"</script>"
],
"text/plain": [
"alt.Chart(...)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for config_file in toml_files:\n",
" mapsim = mapsims.from_config(\n",
" [\"common.toml\", config_file], override={\"channels\": \"all\"}\n",
" )\n",
" component = config_file.split(\".\")[0]\n",
" print(component)\n",
" filename = f\"output/C_ell/C_ell_{component}.pkl\"\n",
" with open(filename, \"rb\") as f:\n",
" cl[component] = pickle.load(f)\n",
" sky = pysm.Sky(\n",
" nside=pysm_nside,\n",
" preset_strings=[mapsim.pysm_components_string],\n",
" output_unit=u.uK_CMB,\n",
" )\n",
" onecl = (\n",
" pd.DataFrame({ch: pd.Series(cl[component][ch][i_pol]) for ch in channels})\n",
" .reset_index()\n",
" .rename(columns={\"index\": \"ell\"})\n",
" )\n",
"\n",
" pysm_emission = sky.get_emission(chs[\"center_frequency\"][0])\n",
" label = \"PySM \" + channels[0]\n",
"\n",
" pysm_low = hp.anafast(\n",
" pysm_emission, lmax=int(1.5 * pysm_nside), use_pixel_weights=True\n",
" )[i_pol]\n",
" pysm_low *= (\n",
" hp.gauss_beam(chs[0][\"fwhm\"].to_value(u.rad), lmax=int(1.5 * pysm_nside)) ** 2\n",
" )\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",
" pysm_high = hp.anafast(\n",
" pysm_emission, lmax=int(1.5 * pysm_nside), use_pixel_weights=True\n",
" )[i_pol]\n",
" pysm_high *= (\n",
" hp.gauss_beam(chs[-1][\"fwhm\"].to_value(u.rad), lmax=int(1.5 * pysm_nside)) ** 2\n",
" )\n",
" onecl[label] = 0\n",
" onecl[label][: len(pysm_high)] = pysm_high\n",
"\n",
" onecl = onecl[onecl.ell != 0]\n",
" decim = np.concatenate(\n",
" [[0], np.logspace(0, np.log10(len(onecl)), 100, endpoint=False)]\n",
" )\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 = (\n",
" alt.Chart(onecl_long, title=component + \" \" + pol_label)\n",
" .mark_line()\n",
" .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(\n",
" \"channel\",\n",
" sort=[\"PySM \" + channels[0]]\n",
" + list(channels)\n",
" + [\"PySM \" + channels[-1]],\n",
" ),\n",
" opacity=alt.condition(selection[component], alt.value(1), alt.value(0.2)),\n",
" )\n",
" .add_selection(selection[component])\n",
" .interactive()\n",
" )\n",
" chart.display()\n",
" # chart.save(f\"verification/out_plot_cl/{component}_{input_telescope}_{pol}.json\")"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "06d2b699",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:18:36.855819Z",
"iopub.status.busy": "2025-03-03T23:18:36.855559Z",
"iopub.status.idle": "2025-03-03T23:18:36.858925Z",
"shell.execute_reply": "2025-03-03T23:18:36.858573Z"
},
"papermill": {
"duration": 0.01604,
"end_time": "2025-03-03T23:18:36.859760",
"exception": false,
"start_time": "2025-03-03T23:18:36.843720",
"status": "completed"
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"101"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(onecl)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "04bb10a8",
"metadata": {
"papermill": {
"duration": 0.009089,
"end_time": "2025-03-03T23:18:36.879473",
"exception": false,
"start_time": "2025-03-03T23:18:36.870384",
"status": "completed"
},
"tags": []
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 28,
"id": "69aa58b7",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-03T23:18:36.897846Z",
"iopub.status.busy": "2025-03-03T23:18:36.897636Z",
"iopub.status.idle": "2025-03-03T23:18:36.952915Z",
"shell.execute_reply": "2025-03-03T23:18:36.952588Z"
},
"papermill": {
"duration": 0.065287,
"end_time": "2025-03-03T23:18:36.953586",
"exception": false,
"start_time": "2025-03-03T23:18:36.888299",
"status": "completed"
},
"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": "cmb",
"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": "3.12.7"
},
"papermill": {
"default_parameters": {},
"duration": 309.55106,
"end_time": "2025-03-03T23:18:37.780125",
"environment_variables": {},
"exception": null,
"input_path": "plot_cl.ipynb",
"output_path": "out_plot_cl_T.ipynb",
"parameters": {
"pol": "T"
},
"start_time": "2025-03-03T23:13:28.229065",
"version": "2.6.0"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {
"65b0adfab3af41588783430ed975f58f": {
"model_module": "ipylab",
"model_module_version": "^1.0.0",
"model_name": "JupyterFrontEndModel",
"state": {
"_model_module": "ipylab",
"_model_module_version": "^1.0.0",
"_model_name": "JupyterFrontEndModel",
"_view_count": null,
"_view_module": null,
"_view_module_version": "",
"_view_name": null,
"commands": "IPY_MODEL_a62fbf6db75b4bdc8e93208f647f6f8b",
"sessions": "IPY_MODEL_78392d3e7f3e48ea818f9c2b7023c6da",
"shell": "IPY_MODEL_82d0b09f9c2a43aba580e0c7de6ed84a",
"version": ""
}
},
"78392d3e7f3e48ea818f9c2b7023c6da": {
"model_module": "ipylab",
"model_module_version": "^1.0.0",
"model_name": "SessionManagerModel",
"state": {
"_model_module": "ipylab",
"_model_module_version": "^1.0.0",
"_model_name": "SessionManagerModel",
"_view_count": null,
"_view_module": null,
"_view_module_version": "",
"_view_name": null,
"current_session": {},
"sessions": []
}
},
"82d0b09f9c2a43aba580e0c7de6ed84a": {
"model_module": "ipylab",
"model_module_version": "^1.0.0",
"model_name": "ShellModel",
"state": {
"_model_module": "ipylab",
"_model_module_version": "^1.0.0",
"_model_name": "ShellModel",
"_view_count": null,
"_view_module": null,
"_view_module_version": "",
"_view_name": null,
"_widgets": []
}
},
"a62fbf6db75b4bdc8e93208f647f6f8b": {
"model_module": "ipylab",
"model_module_version": "^1.0.0",
"model_name": "CommandRegistryModel",
"state": {
"_command_list": [],
"_commands": [],
"_model_module": "ipylab",
"_model_module_version": "^1.0.0",
"_model_name": "CommandRegistryModel",
"_view_count": null,
"_view_module": null,
"_view_module_version": "",
"_view_name": null
}
}
},
"version_major": 2,
"version_minor": 0
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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