Created
January 3, 2020 15:53
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": { | |
| "collapsed": true, | |
| "jupyter": { | |
| "outputs_hidden": true | |
| } | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "%matplotlib inline\n", | |
| "import matplotlib\n", | |
| "matplotlib.rc(\"font\", size=18)\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "import numpy as np\n", | |
| "import astropy.io.fits as pyfits\n", | |
| "import aplpy\n", | |
| "import yt\n", | |
| "from yt.utilities.cosmology import Cosmology" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "basenm = \"sloshing_R5_b500_hdf5_plt_cnt_0300\"\n", | |
| "axis = 45" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "redshift = 0.043\n", | |
| "cosmo = Cosmology()\n", | |
| "scale = 1.0/cosmo.angular_scale(0.0, redshift).to(\"kpc/deg\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "scale_length = scale*yt.YTQuantity(100.0, \"kpc\").v" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "f_proj = pyfits.open(\"%s_proj_%s_deg.fits\" % (basenm, axis))\n", | |
| "f_psf = pyfits.open(\"%s_%s_deg_vels_img.fits\" % (basenm, axis))\n", | |
| "f_nopsf = pyfits.open(\"%s_%s_deg_nopsf_vels_img.fits\" % (basenm, axis))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "WARNING: Cannot determine equinox. Assuming J2000. [aplpy.wcs_util]\n", | |
| "WARNING: Cannot determine equinox. Assuming J2000. [aplpy.wcs_util]\n", | |
| "WARNING: Cannot determine equinox. Assuming J2000. [aplpy.wcs_util]\n", | |
| "WARNING: Cannot determine equinox. Assuming J2000. [aplpy.wcs_util]\n", | |
| "WARNING: Cannot determine equinox. Assuming J2000. [aplpy.wcs_util]\n", | |
| "WARNING: Cannot determine equinox. Assuming J2000. [aplpy.wcs_util]\n", | |
| "WARNING: Cannot determine equinox. Assuming J2000. [aplpy.wcs_util]\n", | |
| "WARNING: Cannot determine equinox. Assuming J2000. [aplpy.wcs_util]\n", | |
| "/Users/jzuhone/miniconda3/lib/python3.6/site-packages/aplpy/overlays.py:369: UserWarning: Text labels do not have attribute lw. Skipping.\n", | |
| " warnings.warn(\"Text labels do not have attribute {0}. Skipping.\".format(kwarg))\n", | |
| "/Users/jzuhone/miniconda3/lib/python3.6/site-packages/aplpy/overlays.py:385: UserWarning: Scalebar does not have attribute text. Skipping.\n", | |
| " warnings.warn(\"Scalebar does not have attribute {0}. Skipping.\".format(kwarg))\n", | |
| "/Users/jzuhone/miniconda3/lib/python3.6/site-packages/ipykernel/__main__.py:42: MatplotlibDeprecationWarning: The set_axis_bgcolor function was deprecated in version 2.0. Use set_facecolor instead.\n", | |
| "/Users/jzuhone/miniconda3/lib/python3.6/site-packages/ipykernel/__main__.py:43: MatplotlibDeprecationWarning: The set_axis_bgcolor function was deprecated in version 2.0. Use set_facecolor instead.\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
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A0eMx8pgRAFKIWeEi41aBmHWmoRVzfnYG+k/ol8+PkIMZ1x8OAEjaGShXYfis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\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x117eb8cc0>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "fig = plt.figure(figsize=(10,10))\n", | |
| "fig.subplots_adjust(hspace=0.02, wspace=0.02)\n", | |
| "ax1 = aplpy.FITSFigure(f_proj[\"S_X\"], figure=fig, subplot=(2,2,1))\n", | |
| "ax1.show_colorscale(cmap=\"viridis\", stretch=\"sqrt\", vmin=2.0e-8, vmax=8.2e-7)\n", | |
| "ax1.add_label(30.025, 45.015, \"X-ray Surface Brightness\", fontsize=16, \n", | |
| " color='black', horizontalalignment='left', verticalalignment='top', zorder=50)\n", | |
| "ax1.add_label(30.025, 44.996, \"Inner\", fontsize=18, color='red', horizontalalignment='left')\n", | |
| "ax1.add_label(30.025, 44.97, \"Outer\", fontsize=18, color='red', horizontalalignment='left')\n", | |
| "ax1.recenter(29.99222, 44.99189, radius=0.03)\n", | |
| "ax1.show_markers(30.0, 45.0, marker='+', facecolor='black', s=400, edgecolor='black')\n", | |
| "ax2 = aplpy.FITSFigure(f_proj[\"velocity_%s_deg\" % axis], figure=fig, subplot=(2,2,2))\n", | |
| "ax2.show_colorscale(cmap=\"inferno\", vmin=-250.0, vmax=300.0)\n", | |
| "ax2.recenter(29.99222, 44.99189, radius=0.03)\n", | |
| "ax2.add_label(30.025, 45.015, \"Line Shift\", fontsize=16, \n", | |
| " color='white', horizontalalignment='left', verticalalignment='top', zorder=50)\n", | |
| "ax2.show_markers(30.0, 45.0, marker='+', facecolor='white', s=400, edgecolor='white')\n", | |
| "ax3 = aplpy.FITSFigure(f_psf[\"mu\"], figure=fig, subplot=(2,2,3))\n", | |
| "ax3.show_colorscale(cmap=\"inferno\", vmin=-250.0, vmax=300.0)\n", | |
| "ax3.recenter(29.99222, 44.99189, radius=0.03)\n", | |
| "ax3.add_label(30.025, 45.015, \"Line Shift, SXS\", fontsize=16, \n", | |
| " color='white', horizontalalignment='left', verticalalignment='top', zorder=50)\n", | |
| "ax3.show_markers(30.0, 45.0, marker='+', facecolor='white', s=400, edgecolor='white')\n", | |
| "ax4 = aplpy.FITSFigure(f_nopsf[\"mu\"], figure=fig, subplot=(2,2,4))\n", | |
| "ax4.show_colorscale(cmap=\"inferno\", vmin=-250.0, vmax=300.0)\n", | |
| "ax4.recenter(29.99222, 44.99189, radius=0.03)\n", | |
| "ax4.add_label(30.025, 45.015, \"Line Shift, SXS w/out PSF\", fontsize=16, \n", | |
| " color='white', horizontalalignment='left', zorder=10, verticalalignment='top')\n", | |
| "ax4.add_scalebar(scale_length, lw=2, text=\"100 kpc\", frame=True)\n", | |
| "ax4.scalebar.set_font_size(16)\n", | |
| "ax4.show_markers(30.0, 45.0, marker='+', facecolor='white', s=400, edgecolor='white')\n", | |
| "for ax in [ax1, ax2, ax3, ax4]:\n", | |
| " ax.hide_axis_labels()\n", | |
| " ax.hide_tick_labels()\n", | |
| " ax.ticks.hide()\n", | |
| "ax1.show_regions(\"sxs.reg\")\n", | |
| "ax2.show_regions(\"sxs_white.reg\")\n", | |
| "ax1.show_regions('inner_red.reg')\n", | |
| "ax1.show_regions('outer_red.reg')\n", | |
| "for ax in [ax2, ax3, ax4]:\n", | |
| " ax.show_regions('inner.reg')\n", | |
| " ax.show_regions('outer.reg')\n", | |
| "ax3._ax1.set_axis_bgcolor('black')\n", | |
| "ax4._ax1.set_axis_bgcolor('black')\n", | |
| "cax2 = fig.add_axes([0.92, 0.125, 0.03, 0.755])\n", | |
| "cb2 = fig.colorbar(ax2.image, cax=cax2)\n", | |
| "cax2.set_ylabel(\"Velocity (km/s)\", fontsize=20)\n", | |
| "ax1.add_label(29.948, 45.025, \"Inviscid\", size=23)\n", | |
| "fig.savefig(\"compare_mu_novisc.eps\", bbox_inches='tight')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "array([[-41.6457339 , -12.84089693, 10.96582812],\n", | |
| " [ 26.34765684, -47.65995166, -23.5115942 ],\n", | |
| " [ 7.42834107, 29.59485098, 0.72239171]])" | |
| ] | |
| }, | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "f_psf[\"mu\"].data-f_nopsf[\"mu\"].data" | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "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": "3.7.3" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 4 | |
| } |
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