generated from erosita/uds
79 lines
2.3 KiB
Python
Executable File
79 lines
2.3 KiB
Python
Executable File
#!/usr/bin/env python
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__author__ = "Roman Krivonos"
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__copyright__ = "Space Research Institute (IKI)"
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from astropy.table import Table, Column
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import matplotlib.pyplot as plt
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import sys, os
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from ridge.utils import *
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from ridge.config import *
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scale = 1e-3
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fn="detcnts.A01.crabmodel.fits"
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dat = Table.read(proddir+fn)
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df1 = dat.to_pandas().sort_values(by=['REV'])
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fn="detcnts.A02.crabmodel.fits"
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dat = Table.read(proddir+fn)
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df2 = dat.to_pandas().sort_values(by=['REV'])
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fn="detcnts.A03.crabmodel.fits"
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dat = Table.read(proddir+fn)
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df3 = dat.to_pandas().sort_values(by=['REV'])
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fig, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, figsize=(9, 7), dpi=100)
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#fig.suptitle('Vertically stacked subplots')
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#plt.figure(figsize=(8, 6), dpi=80)
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for axis in ['top','bottom','left','right']:
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ax1.spines[axis].set_linewidth(1)
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ax2.spines[axis].set_linewidth(1)
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ax3.spines[axis].set_linewidth(1)
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ax1.tick_params(axis="both", width=1, labelsize=14)
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ax2.tick_params(axis="both", width=1, labelsize=14)
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ax3.tick_params(axis="both", width=1, labelsize=14)
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ax1.set_title("25-60 keV")
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ax2.set_title("60-80 keV")
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ax3.set_title("80-200 keV")
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ax1.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
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ax2.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
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ax3.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
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ax1.errorbar(df1['REV'], df1['B_EST']/scale, yerr=df1['ERR']/scale, fmt='o' )
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ax1.plot(df1['REV'], df1['B_POLY']/scale, color='r', linewidth=2)
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ax1.grid(visible=True)
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ax2.errorbar(df2['REV'], df2['B_EST']/scale, yerr=df2['ERR']/scale, fmt='o' )
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ax2.plot(df2['REV'], df2['B_POLY']/scale, color='r', linewidth=2)
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ax2.grid(visible=True)
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ax3.errorbar(df3['REV'], df3['B_EST']/scale, yerr=df3['ERR']/scale, fmt='o' )
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ax3.plot(df3['REV'], df3['B_POLY']/scale, color='r', linewidth=2)
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ax3.grid(visible=True)
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#x = np.arange(-10, 10, 0.001)
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#plot normal distribution with mean 0 and standard deviation 1
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#plt.plot(x, norm.pdf(x, 0, 1), color='red', linewidth=2)
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plt.xlabel('Revolution',fontsize=14, fontweight='normal')
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ax2.set_ylabel('Count rate, x10$^{-3}$ cts s$^{-1}$ pix$^{-1}$',fontsize=14, fontweight='normal')
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#plt.xscale('linear')
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#plt.yscale('linear')
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if not os.path.exists(figdir):
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os.makedirs(figdir)
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filename=figdir+'crabmodel_poly.png'
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plt.savefig(filename, bbox_inches='tight')
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plt.close(fig)
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print("Result is saved as {}".format(filename))
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