LSSTApplications  20.0.0
LSSTDataManagementBasePackage
psfSelectionFromMatchList.py
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1 # This file is part of meas_algorithms.
2 #
3 # Developed for the LSST Data Management System.
4 # This product includes software developed by the LSST Project
5 # (https://www.lsst.org).
6 # See the COPYRIGHT file at the top-level directory of this distribution
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21 
22 import numpy as np
23 import lsst.afw.math as afwMath
24 import lsst.meas.algorithms as measAlg
25 import lsst.afw.display as afwDisplay
26 
27 args = [None, "MatchList", None] # allow the user to probe for this signature
28 
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  disp = afwDisplay.Display(frame=0)
48  disp.mtv(mi, 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 np.isfinite(max):
72  continue
73 
74  psfCellSet.insertCandidate(cand)
75 
76  if display and displayExposure:
77  disp.dot("+", source.getXAstrom() - mi.getX0(), source.getYAstrom() - mi.getY0(),
78  size=4, ctype=afwDisplay.CYAN)
79  disp.dot("o", source.getXAstrom() - mi.getX0(), source.getYAstrom() - mi.getY0(),
80  size=4, ctype=afwDisplay.CYAN)
81  except Exception:
82  continue
83 
84  source.setFlagForDetection(source.getFlagForDetection() | measAlg.Flags.STAR)
85  psfStars += [source]
86 
87  return psfStars, psfCellSet
lsst::afw.display
Definition: __init__.py:1
lsst::afw::math::makeStatistics
Statistics makeStatistics(lsst::afw::math::MaskedVector< EntryT > const &mv, std::vector< WeightPixel > const &vweights, int const flags, StatisticsControl const &sctrl=StatisticsControl())
The makeStatistics() overload to handle lsst::afw::math::MaskedVector<>
Definition: Statistics.h:520
lsst::meas::algorithms.psfSelectionFromMatchList.selectPsfSources
def selectPsfSources(exposure, matches, psfPolicy)
Definition: psfSelectionFromMatchList.py:30
lsstDebug.Info
Definition: lsstDebug.py:28
lsst::afw::math
Definition: statistics.dox:6
lsst::afw::math::SpatialCellSet
A collection of SpatialCells covering an entire image.
Definition: SpatialCell.h:387
lsst::meas::algorithms
Fit spatial kernel using approximate fluxes for candidates, and solving a linear system of equations.
Definition: CoaddBoundedField.h:34