Created
August 8, 2019 16:38
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[Good or Bad Astrometry] work through folder of FITS images and overlay astrometry than filter via good/bad #pessto #astrometry #image
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#!/usr/bin/env python | |
import glob | |
import re | |
import string | |
import os | |
import ntt | |
imglist = glob.glob('*merge*fits') | |
imglist1 = glob.glob('*weight*fits') | |
imglist = glob.glob('*fits') | |
from pyraf import iraf | |
print '##############################' | |
print 'run trough all the images in this directory and move good astrometry (g) in a directory "good/"' | |
print 'bad (b) astrometry in a directory "bad/"' | |
print 'you need to have the subdirectory good/ and bad/ already there' | |
print 'you need to have ds9 open' | |
print '##############################\n' | |
for img in imglist: | |
if img not in imglist1: | |
hdr = ntt.util.readhdr(img) | |
wcs = ntt.util.readkey3(hdr, 'ASTROMET') | |
zzz = ntt.util.display_image(img, 1, '', '', False) | |
print wcs | |
catvec = ntt.efoscastrodef.querycatalogue('2mass', img, 'vizir') | |
vector = [str(k) + ' ' + str(v) | |
for k, v in zip(catvec['x'], catvec['y'])] | |
iraf.tvmark(1, 'STDIN', Stdin=list(vector), mark="circle", number='yes', | |
label='no', radii=10, nxoffse=5, nyoffse=5, color=204, txsize=2) | |
answ = raw_input('good/bad [g] ') | |
if not answ: | |
answ = 'g' | |
if answ in ['g', 'G', 'good', 'Good']: | |
os.system('mv ' + img + ' good/') | |
else: | |
os.system('mv ' + img + ' bad/') |
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