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feat: add adass presentation first draft
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@ManonMarchand
ManonMarchand committed Nov 6, 2024
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The first cells here are required to make the notebooks work without any installation in a browser. A normal notebook running on your personal machine would start later."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%pip install ipyaladin\n",
"%pip install sidecar"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import micropip\n",
"from pathlib import Path\n",
"# cdshealpix and mocpy install\n",
"whl_paths = list(Path.cwd().glob(pattern=\"pyodide/wheels/*\"))\n",
"await micropip.install(\"emfs:\" + str(path) for path in whl_paths)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here is the true beginning of the story\n",
"\n",
"# ADASS 2024 - ipyaladin demonstration"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from ipyaladin import Aladin\n",
"from sidecar import Sidecar"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"aladin = Aladin()\n",
"with Sidecar(title=\"aladin_output\"):\n",
" display(aladin)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"aladin.target = \"M1\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from astropy.coordinates import SkyCoord"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"coo_perseus = SkyCoord.from_name(\"Perseus Cluster\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"aladin.target = coo_perseus"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import astropy.units as u\n",
"from astropy.coordinates import Angle"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"aladin.fov = Angle(25 * u.arcmin)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"estimated_dimension = aladin.fov\n",
"estimated_dimension"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from regions import CircleSkyRegion"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"aladin.add_graphic_overlay_from_region(\n",
" CircleSkyRegion(coo_perseus, estimated_dimension),\n",
" color=\"salmon\", line_dash=[5], \n",
" name=\"cluster_dimension\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"aladin.add_fits(\"chandra.fits\", name=\"chandra\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from mocpy import MOC"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"gaia_galcan_coverage = MOC.from_vizier_table(\"I/356/galcand\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"aladin.add_moc(gaia_galcan_coverage, \n",
" color=\"seagreen\",\n",
" name=\"gaia_galcan\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from astroquery.mocserver import MOCServer"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"MOCServer.find_datasets(meta_data=\"*Euclid*\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"aladin.survey = \"CDS/P/Euclid/ERO/FirstImages\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"euclid_cutout = aladin.get_view_as_fits()[0]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"plt.imshow(np.flipud(np.moveaxis(euclid_cutout.data, 0, -1)))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"aladin.wcs"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from astroquery.vizier import Vizier"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"extra_galactic = Vizier(catalog=\"I/356/galcand\", \n",
" row_limit=-1).query_region(coo_perseus, radius=estimated_dimension)[0]\n",
"extra_galactic"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"aladin.add_table(\n",
" extra_galactic[extra_galactic[\"Class\"] \n",
" == \"GALAXY\"], \n",
" shape=\"circle\",\n",
" source_size=15, \n",
" color=\"lightblue\", \n",
" name=\"galaxies\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"aladin.add_table(\n",
" extra_galactic[extra_galactic[\"Class\"] \n",
" != \"GALAXY\"], \n",
" shape=\"circle\",\n",
" source_size=15, \n",
" color=\"pink\", \n",
" name=\"galaxies\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"aladin.selected_objects[0]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"aladin.selected_objects[1]"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}

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