LSSTApplications  10.0+286,10.0+36,10.0+46,10.0-2-g4f67435,10.1+152,10.1+37,11.0,11.0+1,11.0-1-g47edd16,11.0-1-g60db491,11.0-1-g7418c06,11.0-2-g04d2804,11.0-2-g68503cd,11.0-2-g818369d,11.0-2-gb8b8ce7
LSSTDataManagementBasePackage
Functions | Variables
lsst.meas.algorithms.psfSelectionFromMatchList Namespace Reference

Functions

def selectPsfSources
 

Variables

list args = [None, "MatchList", None]
 

Function Documentation

def lsst.meas.algorithms.psfSelectionFromMatchList.selectPsfSources (   exposure,
  matches,
  psfPolicy 
)
Get a list of suitable stars to construct a PSF.

Definition at line 29 of file psfSelectionFromMatchList.py.

29 
30 def selectPsfSources(exposure, matches, psfPolicy):
31  """Get a list of suitable stars to construct a PSF."""
32 
33  import lsstDebug
34  display = lsstDebug.Info(__name__).display
35  displayExposure = lsstDebug.Info(__name__).displayExposure # display the Exposure + spatialCells
36  #
37  # Unpack policy
38  #
39  kernelSize = psfPolicy.get("kernelSize")
40  borderWidth = psfPolicy.get("borderWidth")
41  sizePsfCellX = psfPolicy.get("sizeCellX")
42  sizePsfCellY = psfPolicy.get("sizeCellY")
43  #
44  mi = exposure.getMaskedImage()
45 
46  if display and displayExposure:
47  frame = 0
48  ds9.mtv(mi, frame=frame, title="PSF candidates")
49 
50  psfCellSet = afwMath.SpatialCellSet(mi.getBBox(), sizePsfCellX, sizePsfCellY)
51  psfStars = []
52 
53  for val in matches:
54  ref, source = val[0:2]
55  if not (ref.getFlagForDetection() & measAlg.Flags.STAR) or \
56  (source.getFlagForDetection() & measAlg.Flags.BAD):
57  continue
58 
59  try:
60  cand = measAlg.makePsfCandidate(source, mi)
61  #
62  # The setXXX methods are class static, but it's convenient to call them on
63  # an instance as we don't know Exposure's pixel type (and hence cand's exact type)
64  if cand.getWidth() == 0:
65  cand.setBorderWidth(borderWidth)
66  cand.setWidth(kernelSize + 2*borderWidth)
67  cand.setHeight(kernelSize + 2*borderWidth)
68 
69  im = cand.getMaskedImage().getImage()
70  max = afwMath.makeStatistics(im, afwMath.MAX).getValue()
71  if not numpy.isfinite(max):
72  continue
73 
74  psfCellSet.insertCandidate(cand)
75 
76  if display and displayExposure:
77  ds9.dot("+", source.getXAstrom() - mi.getX0(), source.getYAstrom() - mi.getY0(),
78  size=4, frame=frame, ctype=ds9.CYAN)
79  ds9.dot("o", source.getXAstrom() - mi.getX0(), source.getYAstrom() - mi.getY0(),
80  size=4, frame=frame, ctype=ds9.CYAN)
81  except Exception:
82  continue
83 
84  source.setFlagForDetection(source.getFlagForDetection() | measAlg.Flags.STAR)
85  psfStars += [source]
86 
87  return psfStars, psfCellSet
boost::shared_ptr< PsfCandidate< PixelT > > makePsfCandidate(boost::shared_ptr< afw::table::SourceRecord > const &source, boost::shared_ptr< afw::image::Exposure< PixelT > > image)
Definition: PsfCandidate.h:188
A collection of SpatialCells covering an entire image.
Definition: SpatialCell.h:378
Statistics makeStatistics(afwImage::Mask< afwImage::MaskPixel > const &msk, int const flags, StatisticsControl const &sctrl)
Specialization to handle Masks.
Definition: Statistics.cc:1082

Variable Documentation

list lsst.meas.algorithms.psfSelectionFromMatchList.args = [None, "MatchList", None]

Definition at line 27 of file psfSelectionFromMatchList.py.