{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Example case of simulating observations of a cluster with multiple pointings #\n", "\n", "This thread shows how to use _M2_ProposalTools_ to simulate observations of a target." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "### Useful libraries\n", "import numpy as np\n", "import astropy.units as u\n", "from astropy.io import fits \n", "#### Modules within our library\n", "import M2_ProposalTools.WorkHorse as WH\n", "import M2_ProposalTools.MakeRMSmap as MRM\n", "import M2_ProposalTools.ModelFitting as MF" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Supply an output directory." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "outdir=\"/home/data/MUSTANG2/SimulatedObservations/LightWeight/\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's define some options for the input cluster, mapping parameters, and scanning strategy\n", "\n", "If an entry in offsets is greater than zero, then the scan strategy is taken to be a set of four scans which are offset by the respective distance, in arcminutes, from the central pointing towards: (1) the west, (2) north, (3) east, and (4) south." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "fromM200 = False\n", "verbose = False\n", "\n", "if fromM200:\n", " lgM200 = 15.1 # Log_10 M200\n", " M200 = np.power(10, lgM200) # Now in normal units\n", " ##How to go to M500? Various numbers in the literature, but we don't need to be too precise.\n", " M5_14 = 0.7 * M200 / 1e14 # Crude approximation (in 10^14 solar masses)\n", "else:\n", " M5_14 = 4.0 # We leave this separate as we'll want to reference this below\n", "\n", "M500 = M5_14*1e14 * u.M_sun\n", "\n", "if verbose:\n", " print(M500/1e14) # in 1e14" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "z = 0.4 # The redshift\n", "pixsize = 3.0 # Pixel size, in arcseconds. For MUSTANG-2, between 2\" and 4\" is fine.\n", "\n", "times = [10,10] # A list of time per scan strategy, in hours\n", "ptgs = [[180,45.0],[180,45.0]] # A list of centroid pairs (RA,Dec) in degrees\n", "sizes = [3.5,3.5] # Scan sizes, in arcminutes\n", "offsets = [1.5,0] # Pointing offsets, in arcminutes." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Assuming we don't already have a map of a cluster, I will make a map (with astrometry information) of a cluster.\n", "We'll assume a spherical A10 cluster, with a pressure profile like the \"disturbed\" cluster subsample.\n", "\n", "We'll say that the cluster center is the same as our pointings above. We'll further let our map go out to $3 R_{500}$, such that a given side is $6 R_{500}$. \n", "\n", "For use with MUSTANG-2 simulation, we'll want the input map to be beam-convolved, so we set the option to have that already done.\n", "Finally, we can convert from Compton y to microKelvin (Rayleigh-Jeans) by setting conv2uK=True. This is nice simply because our RMS values for the sensitivity maps will be in microKelvin." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "SkyHDU = WH.make_A10_hdu(z,M500,pixsize,Dist=True,beamConvolve=True,conv2uK=True,center=[180,45.0],nR500=3.0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The above image is what MUSTANG-2 would see if data processing imparted no filtering effects. Unfortunately, it does, and so we combined the filtering effects with the sensitivity mapmaking in the following routine. It returns two HDULists. The first HDUList has a filtered map and a corresponding weight map, where the weight map is the inverse variance. The second HDUList is the same, but the filtered map has an additional smoothing. This smoothing is the standard smoothing applied to final MIDAS maps; it is with this smoothing that the inverse variance maps, as calculated, are appropriate comparisons." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "FilterHDU,SmoothHDU = WH.lightweight_simobs_hdu(SkyHDU,ptgs=ptgs,sizes=sizes,times=times,offsets=offsets,center=None)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Depending on what you want to track, this adds some information to the filenames" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "pixstr = \"{:.1f}\".format(pixsize).replace(\".\",\"p\")\n", "zstr = \"{:.1f}\".format(z).replace(\".\",\"z\")\n", "Mstr = \"{:.1f}\".format(M5_14).replace(\".\",\"m\")\n", "sss = [\"{:.1f}\".format(mysz).replace(\".\",\"s\") for mysz in sizes]\n", "sts = [\"{:.1f}\".format(mytime).replace(\".\",\"h\") for mytime in times]\n", "ssstr = \"_\".join(sss)\n", "ststr = \"_\".join(sts)\n", "InputStr = \"_\".join([zstr,Mstr,ssstr,ststr,pixstr])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Saving to fits files may be desirable." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "Skyname = \"SimulatedSky_\"+InputStr+\".fits\"\n", "SkyHDU.writeto(outdir+Skyname,overwrite=True)\n", "\n", "filename = \"SimulatedObs_Unsmoothed_\"+InputStr+\".fits\"\n", "FilterHDU.writeto(outdir+filename,overwrite=True)\n", "filename2 = \"SimulatedObs_Smoothed_\"+InputStr+\".fits\"\n", "SmoothHDU.writeto(outdir+filename2,overwrite=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's plot the radial profiles so you that the filtering may be more evident." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Smoothed Mock Obs-- Peak in binned profile: -77.76438354989634 ; peak in map: -78.9640668583741\n", "Mock Obs-- Peak in binned profile: -85.86389597908061 ; peak in map: -87.32576762257253\n", "Bm. Conv. Sky-- Peak in binned profile: -85.86389597908061 ; peak in map: -226.01699664913238\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "SBfn = \"SimulatedObs_SBprofiles_\"+InputStr+\".png\"\n", "MF.plot_SB_profiles(FilterHDU,SkyHDU,outdir,SBfn,prntPk=True,addHDU=SmoothHDU,addLabel=\"Mock Obs, smoothed\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And again, we can generate a sensitivity map. For this example, the very center of the map gets down to 14.3 $\\mu$K. This is close to a 10$\\sigma$ detection of the peak." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pngname = \"SimulatedObservations_\"+InputStr+\"_RMSimage.png\"\n", "vmin = 12.5 # uK\n", "vmax = 420.0 # uK\n", "MRM.plot_rms_general(SmoothHDU,outdir+pngname,ncnts=0,vmin=vmin,vmax=vmax,prntinfo=True)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.12.2" } }, "nbformat": 4, "nbformat_minor": 4 }