July

scripts/01_crabmodel_plot_poly.py

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+#!/usr/bin/env python
+
+__author__      = "Roman Krivonos"
+__copyright__   = "Space Research Institute (IKI)"
+
+from astropy.table import Table, Column
+
+import matplotlib.pyplot as plt
+import sys
+
+from ridge.utils import *
+from ridge.config import *
+
+
+scale = 1e-3
+
+fn="detcnts.E01.crabmodel.fits"
+dat = Table.read(proddir+fn, unit_parse_strict='silent')
+df1 = dat.to_pandas().sort_values(by=['REV'])
+
+fn="detcnts.E14.crabmodel.fits"
+dat = Table.read(proddir+fn, unit_parse_strict='silent')
+df2 = dat.to_pandas().sort_values(by=['REV'])
+
+fn="detcnts.E13.crabmodel.fits"
+dat = Table.read(proddir+fn, unit_parse_strict='silent')
+df3 = dat.to_pandas().sort_values(by=['REV'])
+
+
+fig, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, figsize=(9, 7), dpi=100)
+#fig.suptitle('Vertically stacked subplots')
+#plt.figure(figsize=(8, 6), dpi=80)
+
+for axis in ['top','bottom','left','right']:
+    ax1.spines[axis].set_linewidth(1)
+    ax2.spines[axis].set_linewidth(1)
+    ax3.spines[axis].set_linewidth(1)
+ax1.tick_params(axis="both", width=1, labelsize=14)
+ax2.tick_params(axis="both", width=1, labelsize=14)
+ax3.tick_params(axis="both", width=1, labelsize=14)
+
+ax1.set_title("25-60 keV")
+ax2.set_title("60-80 keV")
+ax3.set_title("80-200 keV")
+
+ax1.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
+ax2.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
+ax3.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
+
+ax1.errorbar(df1['REV'], df1['B_EST']/scale, yerr=df1['ERR']/scale, fmt='o' )
+ax1.plot(df1['REV'], df1['B_POLY']/scale, color='r', linewidth=2)
+ax1.grid(visible=True)
+
+ax2.errorbar(df2['REV'], df2['B_EST']/scale, yerr=df2['ERR']/scale, fmt='o' )
+ax2.plot(df2['REV'], df2['B_POLY']/scale, color='r', linewidth=2)
+ax2.grid(visible=True)
+
+ax3.errorbar(df3['REV'], df3['B_EST']/scale, yerr=df3['ERR']/scale, fmt='o' )
+ax3.plot(df3['REV'], df3['B_POLY']/scale, color='r', linewidth=2)
+ax3.grid(visible=True)
+
+#x = np.arange(-10, 10, 0.001)
+#plot normal distribution with mean 0 and standard deviation 1
+#plt.plot(x, norm.pdf(x, 0, 1), color='red', linewidth=2)
+	    
+plt.xlabel('Revolution',fontsize=14, fontweight='normal')
+ax2.set_ylabel('Count rate, x10$^{-3}$ cts s$^{-1}$ pix$^{-1}$',fontsize=14, fontweight='normal')
+
+#plt.xscale('linear')
+#plt.yscale('linear')
+
+plt.savefig(proddir+'crabmodel_poly.png', bbox_inches='tight')
+plt.close(fig)