LSSTApplications  17.0+124,17.0+14,17.0+73,18.0.0+37,18.0.0+80,18.0.0-4-g68ffd23+4,18.1.0-1-g0001055+12,18.1.0-1-g03d53ef+5,18.1.0-1-g1349e88+55,18.1.0-1-g2505f39+44,18.1.0-1-g5315e5e+4,18.1.0-1-g5e4b7ea+14,18.1.0-1-g7e8fceb+4,18.1.0-1-g85f8cd4+48,18.1.0-1-g8ff0b9f+4,18.1.0-1-ga2c679d+1,18.1.0-1-gd55f500+35,18.1.0-10-gb58edde+2,18.1.0-11-g0997b02+4,18.1.0-13-gfe4edf0b+12,18.1.0-14-g259bd21+21,18.1.0-19-gdb69f3f+2,18.1.0-2-g5f9922c+24,18.1.0-2-gd3b74e5+11,18.1.0-2-gfbf3545+32,18.1.0-26-g728bddb4+5,18.1.0-27-g6ff7ca9+2,18.1.0-3-g52aa583+25,18.1.0-3-g8ea57af+9,18.1.0-3-gb69f684+42,18.1.0-3-gfcaddf3+6,18.1.0-32-gd8786685a,18.1.0-4-gf3f9b77+6,18.1.0-5-g1dd662b+2,18.1.0-5-g6dbcb01+41,18.1.0-6-gae77429+3,18.1.0-7-g9d75d83+9,18.1.0-7-gae09a6d+30,18.1.0-9-gc381ef5+4,w.2019.45
LSSTDataManagementBasePackage
matchFakeStars.py
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1 """
2 matchFakes.py
3 matches fakes based on position stored in the calibrated exposure image header
4 """
5 
6 import argparse
7 import re
8 import collections
9 
10 import numpy as np
11 
12 import lsst.daf.persistence as dafPersist
13 
14 
15 def getFakeSources(rootdir, dataId, tol=0.1):
16  """Get list of sources which agree in position with fake ones with tol
17  """
18  butler = dafPersist.Butler(rootdir)
19 
20  sources = butler.get('src', dataId)
21  cal_md = butler.get('calexp_md', dataId)
22 
23  # Get the X, Y locations of objects on the CCD
24  srcX, srcY = sources.getX(), sources.getY()
25  # Get the zeropoint
26  zeropoint = 2.5*np.log10(cal_md.getScalar("FLUXMAG0"))
27  # Get the PSF flux and its error
28  flux, ferr = sources.getPsfFlux(), sources.getPsfFluxErr()
29  # Convert them into magnitude and its error
30  mag, merr = 2.5*np.log10(flux), 2.5/np.log(10)*(ferr/flux)
31  mag = zeropoint - mag
32 
33  # X, Y locations of the fake stars
34  fakeXY = collections.defaultdict(tuple)
35  # Regular Expression
36  fakename = re.compile('FAKE([0-9]+)')
37  for card in cal_md.names():
38  m = fakename.match(card)
39  if m is not None:
40  x, y = list(map(float, (cal_md.getScalar(card)).split(',')))
41  fakeXY[int(m.group(1))] = (x, y)
42 
43  srcIndex = collections.defaultdict(list)
44  for fid, fcoord in fakeXY.items():
45  matched = ((np.abs(srcX-fcoord[0]) < tol) &
46  (np.abs(srcY-fcoord[1]) < tol))
47  srcIndex[fid] = np.where(matched)[0]
48 
49  srcPsfMag = []
50  srcPsfMerr = []
51  matchX = []
52  matchY = []
53  for s in srcIndex.values():
54  if len(s) > 0:
55  ss = s[0]
56  srcPsfMag.append(mag[ss])
57  srcPsfMerr.append(merr[ss])
58  matchX.append(srcX[ss])
59  matchY.append(srcY[ss])
60  else:
61  srcPsfMag.append(0)
62  srcPsfMerr.append(0)
63  matchX.append(0)
64  matchY.append(0)
65 
66  return srcIndex, fakeXY, matchX, matchY, srcPsfMag, srcPsfMerr
67 
68 
69 def main():
70 
71  # TODO: this should use the LSST/HSC conventions
72  parser = argparse.ArgumentParser()
73  parser.add_argument('rootDir', help='root dir of data repo')
74  parser.add_argument('visit', help='id of visit', type=int)
75  parser.add_argument('ccd', help='id of ccd', type=int)
76  args = parser.parse_args()
77 
78  starIndex, fakeXY, matchX, matchY, starPsfMag, starPsfMerr = getFakeSources(args.rootDir,
79  {'visit': args.visit,
80  'ccd': args.ccd})
81 
82  nInject = len(fakeXY)
83  nMatch = len(np.argwhere(starPsfMag))
84  print("# Number of Injected Stars : %d" % nInject)
85  print("# Number of Matched Stars : %d" % nMatch)
86  print("# Visit = %d CCD = %d" % (args.visit, args.ccd))
87  print("# FakeX FakeY PSFMag PSFMagErr Deblend ")
88 
89  for i in range(nInject):
90  if len(starIndex[i]) > 1:
91  deblend = "blended"
92  elif starPsfMag[i] > 0:
93  deblend = "isolate"
94  else:
95  deblend = "nomatch"
96 
97  injectXY = fakeXY[i]
98 
99  print("%6.1d %6.1d %7.3f %6.3f %s" % (injectXY[0], injectXY[1],
100  starPsfMag[i], starPsfMerr[i], deblend))
101 
102 
103 if __name__ == '__main__':
104  main()
def getFakeSources(rootdir, dataId, tol=0.1)
daf::base::PropertyList * list
Definition: fits.cc:903