generated from erosita/uds
68 lines
1.8 KiB
Python
68 lines
1.8 KiB
Python
import glob, sys
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from astropy.io import fits
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import statistics
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import pandas as pd
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import numpy as np
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import csv
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from uds.config import *
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colnames=['Match', 'Ref', 'Dup', 'RA', 'Dec', 'Incl']
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flist=glob.glob('../products/tm[1,5,6,7]*en0*.xfm')
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total1=0
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total2=0
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for f in flist:
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pos = f.find("_SourceCatalog")
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key=f[12:pos]
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hdul = fits.open(f)
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try:
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tab=hdul[1].data
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except:
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continue
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hdul.close()
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dsrc=f.replace(".xfm",".shu2019.src.fits")
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hdul = fits.open(dsrc)
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try:
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hdr=hdul[0].header
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cdelt=hdr['CDELT2']*3600
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except:
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continue
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hdul.close()
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a11=tab[0]['a11']
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a12=tab[0]['a12']
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a22=tab[0]['a22']
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a21=tab[0]['a21']
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x_scale=tab[0]['x_scale']
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y_scale=tab[0]['y_scale']
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t1=tab[0]['t1']*cdelt
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t2=tab[0]['t2']*cdelt
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sx1=np.sign(a11)*np.sqrt(a11**2 + a12**2)
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sy1=np.sign(a22)*np.sqrt(a21**2 + a22**2)
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sx2=np.sign(a11)*np.sqrt(a11**2 + a21**2)
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sy2=np.sign(a22)*np.sqrt(a12**2 + a22**2)
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a1 = np.arctan2(a12/sx1,a11/sy2) * 180 / np.pi * 60
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a2 = np.arctan2(a12/sx1,a22/sy2) * 180 / np.pi * 60
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b1 = np.arctan2(a21,a11) * 180 / np.pi * 60
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b2 = np.arctan2(a21,a22) * 180 / np.pi * 60
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det=a11*a22-a12*a21
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alpha=355*np.pi/180
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a3 = np.arctan2(np.sin(alpha),np.cos(alpha)) * 180 / np.pi
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print("{:+.8} {:+.8}".format(a11,a12))
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print("{:+.8} {:+.8}".format(a21,a22))
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#print("{} d {:.10f} s {:.8f} {:.8f} {:.8f} {:.8f} | {:+.8f} {:+.8f} {:+.8f} {:+.8f} t {:+.2f} {:+.2f}".format(obslist[key],np.sqrt(det)*cdelt,sx1*cdelt,sx2*cdelt,sy1*cdelt,sy2*cdelt,a1,a2,b1,b2,t1,t2))
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#print("{} d {:.10f} s {:.8f} {:.8f} {:.8f} {:.8f} | {:+.8f} {:+.8f} {:+.8f} {:+.8f} t {:+.2f} {:+.2f}".format(obslist[key],np.sqrt(det)*cdelt,sx1*cdelt,sx2*cdelt,sy1*cdelt,sy2*cdelt,a1,a2,b1,b2,t1,t2))
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