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Merge pull request #97 from parthenon-hpc-lab/BenWibking/cooling-docs
add cooling documentation
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "33ca3da4-e1e2-4dff-bf33-88072e57508e", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"import numpy as np\n", | ||
"import unyt\n", | ||
"\n", | ||
"import scipy as sp\n", | ||
"import scipy.interpolate\n", | ||
"\n", | ||
"import matplotlib.pyplot as plt\n", | ||
"import matplotlib as mpl" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "eadb3f5c-e2aa-44b9-8828-555cac0c8c42", | ||
"metadata": {}, | ||
"source": [ | ||
"## Load data from [Schure 2009](https://doi.org/10.1051/0004-6361/200912495) Tables 2 and 4" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "6e9bfaf9-9e06-48bf-933d-b3e201e4c5f5", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"elemental_rates_data = np.genfromtxt(\"schure_table_4.txt\",\n", | ||
" skip_header=4,\n", | ||
" dtype=float, delimiter='\\t', names=True) \n", | ||
"elements = elemental_rates_data.dtype.names[1:]\n", | ||
"\n", | ||
"log_temperature = elemental_rates_data[\"T\"]\n", | ||
"\n", | ||
"cooling_rates = unyt.unyt_array(np.empty( (log_temperature.size,len(elements)) ),\"cm**3*erg/s\")\n", | ||
"\n", | ||
"for j,element in enumerate(elements):\n", | ||
" cooling_rates[:,j] = unyt.unyt_array(10**elemental_rates_data[element],\"cm**3*erg/s\")\n", | ||
"\n", | ||
"\n", | ||
"schure_table2_data = np.loadtxt(\"schure_table_2.txt\")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "0dda7ed5-24d0-4ab5-a703-7baa71d1e1b8", | ||
"metadata": {}, | ||
"source": [ | ||
"## Compute Cooling rates ($\\Lambda_N$) from Schure Table 4 and eq. 3" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "dd992955-c664-4dc5-9a40-0c25ebafdc88", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"z1_log_cr = np.log10( cooling_rates.sum(axis=1) )\n", | ||
"\n", | ||
"def compute_cr(n_over_n_sun):\n", | ||
" return (cooling_rates*n_over_n_sun).sum(axis=1)\n", | ||
"\n", | ||
"z05_log_cr = np.log10( compute_cr(np.array( [1,1.0] + [1./2.,]*(len(elements)-2) ) ))\n", | ||
"z03_log_cr = np.log10( compute_cr(np.array( [1,1] + [0.3,]*(len(elements)-2) ) ))" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "59b73548-47cf-438d-bc8b-41a691b7f5e8", | ||
"metadata": {}, | ||
"source": [ | ||
"## Compute $\\Lambda_{hd}$ from $n_e/n_H$ in Table 2 and eq. 1" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "17526d49-46cd-41ce-b12f-f682de1cdba3", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"#ne_over_nh = sp.interpolate.CubicSpline(schure_table2_data[:,0],schure_table2_data[:,3])\n", | ||
"\n", | ||
"start = np.where(schure_table2_data[:,0] == log_temperature[0])[0][0]\n", | ||
"end = np.where(schure_table2_data[:,0] == log_temperature[-1])[0][0]\n", | ||
"ne_over_nh = schure_table2_data[start:end+1,3]" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "12c2e08a-721a-4535-87b6-8d0688627d5d", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"log_x_hd = np.log10(ne_over_nh)\n", | ||
"schure_data = np.vstack((log_temperature,log_x_hd+z1_log_cr,log_x_hd+z05_log_cr,log_x_hd+z03_log_cr))" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "abb949f6-e0eb-43d6-80db-9242e6b11ded", | ||
"metadata": {}, | ||
"source": [ | ||
"## Save the schure data with a thorough note" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "9783bc26-4023-41f4-b7ad-f5dbbab8fc7d", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"header=\"\"\"Cooling rates generated from Schure 2009 (doi.org/10.1051/0004-6361/200912495)\n", | ||
"containing temperatures in the first column (in log10 K) and collisional ionisation\n", | ||
"equilibrium (CIE) cooling rates (in log10 erg cm^3/s).\n", | ||
"Cooling rates are in the convention Lambda_hd from eq. 1,\n", | ||
"where the proton ratio n_e/n_H is taken from table 2.\n", | ||
"Lambda_N is computed from eq. 3. The cooling rate Lambda_N(X_i,T) from eq. 3 is contained\n", | ||
"in table 4. n_i/n_i(solar) is taken to be 1.0 for all elements for Z=1 while for Z=0.5\n", | ||
"and Z=0.3 n_i/n_i(solar) is set to 1 for H and He and set to 0.5 and 0.3 respectively for\n", | ||
"all other elements. Made by Forrest Glines ([email protected])\n", | ||
"-----------------------------------------------------------------------------------------\\n\"\"\"" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "b82b388b-b1db-42c0-b491-ec0acf998dd3", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"for i, z in enumerate([1.0, 0.5, 0.3]):\n", | ||
" np.savetxt(f\"schure.cooling_{z:.1f}Z\",\n", | ||
" schure_data.T[:,[0, i + 1]],\n", | ||
" header=header + f\"log10 T [K] Z={z:.1f} log10 Lambda_N [erg cm^3/s]\",\n", | ||
" fmt=(\"%1.2f\",\"%2.4f\"))" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "ebd552ea-937d-4d26-9517-cffaf98dbeb4", | ||
"metadata": {}, | ||
"source": [ | ||
"### Process Gnat Sternberg Cooling Table" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "1a9b0fd3-a27e-46eb-b356-4d46e53bcc55", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"gnat_sternberg_data = np.loadtxt(\"gnat_sternberg_cie_table.txt\", skiprows=23)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "fdf5d5db-a0eb-43e7-9283-29339d1d6d5a", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"header=\"\"\"Adapted from: http://wise-obs.tau.ac.il/~orlyg/cooling/CIEcool/tab13.txt\n", | ||
"Title: Time-Dependent Ionization in Radiatively Cooling Gas \n", | ||
"Authors: Orly Gnat and Amiel Sternberg\n", | ||
"Table: CIE Cooling Efficiencies\n", | ||
"-----------------------------------------------------------------------------------------\n", | ||
"Our assumed Z=1 solar abundances are listed in Table 1.\n", | ||
"-----------------------------------------------------------------------------------------\\n\"\"\"" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "0abce35b-6775-4c43-b6a8-2ed0cd6f0e1c", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"for i, z in enumerate([1e-3, 1e-2, 1e-1, 1, 2]):\n", | ||
" np.savetxt(f\"gnat-sternberg.cooling_{z:.1g}Z\",\n", | ||
" np.log10(gnat_sternberg_data[:,[0, i + 1]]),\n", | ||
" header=header + f\"log10 T [K] Z={z:.1g} log10 Lambda_N [erg cm^3/s]\",\n", | ||
" fmt=(\"%1.2f\",\"%2.4f\"))" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "6c7c385d-21ed-42e5-ba60-8ae76cea7185", | ||
"metadata": {}, | ||
"source": [ | ||
"## Load other cooling tables (See [Sutherland and Dopita 1993](https://ui.adsabs.harvard.edu/link_gateway/1993ApJS...88..253S/doi:10.1086/191823) )" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "9177f991-65fc-46a9-a8e1-8c121da5f68f", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"enzo_schure_data = np.loadtxt(\"enzo_schure.cooling\") #Schure cooling table with enzo roots\n", | ||
"#gnat_sternberg_data = np.loadtxt(\"gnat-sternberg.cooling\")\n", | ||
"#sutherland_dopita_data = np.loadtxt(\"cooling_data/sutherland_dopita.cooling\") #SD table with PLUTO roots\n", | ||
"sutherland_dopita_table6_data = np.loadtxt(\"sutherland_dopita_table_6.txt\")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "702382fd-8067-4a7f-bb85-45838f236ff1", | ||
"metadata": {}, | ||
"source": [ | ||
"## Make some plots" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "ef31148e-36d4-4ff7-b950-712e84224f12", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"fig,ax = plt.subplots()\n", | ||
"\n", | ||
"ax.plot(log_temperature,z1_log_cr,label=\"$\\\\Lambda_N$ Schure $Z_\\\\odot$\")\n", | ||
"ax.plot(log_temperature,z05_log_cr,label=\"$\\\\Lambda_N$ Schure $0.5 Z_\\\\odot$\")\n", | ||
"ax.plot(log_temperature,z03_log_cr,label=\"$\\\\Lambda_N$ Schure $0.3 Z_\\\\odot$\")\n", | ||
"\n", | ||
"\n", | ||
"ax.plot(log_temperature,log_x_hd+z1_log_cr,label=\"$\\\\Lambda_{hd}$ Schure $Z_\\\\odot$\",linestyle=\"--\")\n", | ||
"ax.plot(log_temperature,log_x_hd+z05_log_cr,label=\"$\\\\Lambda_{hd}$ Schure $0.5 Z_\\\\odot$\",linestyle=\"--\")\n", | ||
"ax.plot(log_temperature,log_x_hd+z03_log_cr,label=\"$\\\\Lambda_{hd}$ Schure $0.3 Z_\\\\odot$\",linestyle=\"--\")\n", | ||
"\n", | ||
"#ax.plot(enzo_schure_data[:,0],enzo_schure_data[:,1],label=\"Legacy Schure $Z_\\\\odot$\",linestyle=\"--\")\n", | ||
"#ax.plot(enzo_schure_data[:,0],enzo_schure_data[:,2],label=\"Legacy Schure $0.5 Z_\\\\odot$\",linestyle=\"--\")\n", | ||
"#ax.plot(schure_table2_data[:,0],schure_table2_data[:,1],label=\"Schure Table 2 $Z=1$\",linestyle=\"--\")\n", | ||
"\n", | ||
"#ax.plot(gnat_sternberg_data[:,0],gnat_sternberg_data[:,4],label=\"GS $Z=1$\",linestyle=\":\")\n", | ||
"#ax.plot(sutherland_dopita_data[:,0],sutherland_dopita_data[:,2],label=\"SD $Z=1$\",linestyle=\"-\")\n", | ||
"#ax.plot(sutherland_dopita_data[:,0],sutherland_dopita_data[:,1],label=\"SD $Z=1/3$\",linestyle=\":\")\n", | ||
"\n", | ||
"#ax.plot(sutherland_dopita_table6_data[:,0],sutherland_dopita_table6_data[:,5],label=\"SD Table 6 $Z=1$\",linestyle=\"--\")\n", | ||
"\n", | ||
"ax.legend(ncols=2)\n", | ||
"\n", | ||
"#ax.set_xlim(log_temperature.min(),log_temperature.max())\n", | ||
"\n", | ||
"ax.set_xlim(3.8,8.2)\n", | ||
"ax.set_ylim(-23,-20)\n", | ||
"#ax.set_ylim(-26,-20)\n", | ||
"\n", | ||
"ax.set_ylabel(\"Cooling Rate -- $ \\\\log \\\\Lambda$ [ cm${}^{3}$ erg/s ]\")\n", | ||
"ax.set_xlabel(\"Temperature -- $ \\\\log T$ [ K ]\")\n", | ||
"\n", | ||
"ax.grid()\n", | ||
"\n", | ||
"plt.show()\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "0261a25f-2c1a-49b7-987e-3c5bf1deedf5", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"fig,ax = plt.subplots()\n", | ||
"\n", | ||
"ax.plot(log_temperature,log_x_hd+z1_log_cr,label=\"My $\\\\Lambda_{hd}$\",linestyle=\"-\")\n", | ||
"ax.plot(log_temperature,schure_table2_data[start:end+1,2],label=\"Schure Table 2 $\\\\Lambda_{hd}$\",linestyle=\":\")\n", | ||
"\n", | ||
"ax.plot(log_temperature,z1_log_cr,label=\"My $\\\\Lambda_{N}$\",linestyle=\"-\")\n", | ||
"ax.plot(log_temperature,enzo_schure_data[:,1],label=\"Enzo $\\\\Lambda_{N}$\",linestyle=\"--\")\n", | ||
"ax.plot(log_temperature,schure_table2_data[start:end+1,2],label=\"Schure Table 1 $\\\\Lambda_{N}$\",linestyle=\":\")\n", | ||
"\n", | ||
"ax.legend()\n", | ||
"\n", | ||
"#ax.set_xlim(log_temperature.min(),log_temperature.max())\n", | ||
"\n", | ||
"ax.set_xlim(3.8,8.2)\n", | ||
"ax.set_ylim(-23,-20)\n", | ||
"#ax.set_ylim(-26,-20)\n", | ||
"\n", | ||
"ax.set_ylabel(\"Cooling Rate -- $ \\\\log \\\\Lambda$ [ cm${}^{3}$ erg/s ]\")\n", | ||
"ax.set_xlabel(\"Temperature -- $ \\\\log T$ [ K ]\")\n", | ||
"\n", | ||
"ax.grid()\n", | ||
"\n", | ||
"plt.show()\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "693b185a-a4c4-4602-b841-b43bfa909601", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"fig,ax = plt.subplots()\n", | ||
"\n", | ||
"ax.plot(log_temperature,\n", | ||
" (10**(log_x_hd+z1_log_cr) - 10**schure_table2_data[start:end+1,2])/10**(log_x_hd+z1_log_cr),\n", | ||
" label=\"$\\\\Lambda_{hd}$: Mine - Schure Table 2\",linestyle=\"-\")\n", | ||
"\n", | ||
"ax.plot(log_temperature,\n", | ||
" (10**(z1_log_cr) - 10**schure_table2_data[start:end+1,1])/10**(z1_log_cr),\n", | ||
" label=\"$\\\\Lambda_{N}$: Mine - Schure Table 2\",linestyle=\"--\")\n", | ||
"ax.plot(log_temperature,\n", | ||
" (10**(z1_log_cr) - 10**enzo_schure_data[:,1])/10**(z1_log_cr),\n", | ||
" label=\"$\\\\Lambda_{N}$: Mine - Enzo\",linestyle=\"-\")\n", | ||
"\n", | ||
"\n", | ||
"ax.legend()\n", | ||
"\n", | ||
"#ax.set_xlim(log_temperature.min(),log_temperature.max())\n", | ||
"\n", | ||
"ax.set_xlim(3.8,8.2)\n", | ||
"#ax.set_ylim(-23,-20)\n", | ||
"#ax.set_ylim(-26,-20)\n", | ||
"\n", | ||
"ax.set_ylabel(\"Relative difference in $\\\\Lambda$\")\n", | ||
"ax.set_xlabel(\"Temperature -- $ \\\\log T$ [ K ]\")\n", | ||
"\n", | ||
"ax.grid()\n", | ||
"\n", | ||
"plt.show()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "fb9b70d5-32e4-43db-9fcd-f1c7c481b5a4", | ||
"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": "3.12.5" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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