LSSTApplications  17.0+11,17.0+34,17.0+56,17.0+57,17.0+59,17.0+7,17.0-1-g377950a+33,17.0.1-1-g114240f+2,17.0.1-1-g4d4fbc4+28,17.0.1-1-g55520dc+49,17.0.1-1-g5f4ed7e+52,17.0.1-1-g6dd7d69+17,17.0.1-1-g8de6c91+11,17.0.1-1-gb9095d2+7,17.0.1-1-ge9fec5e+5,17.0.1-1-gf4e0155+55,17.0.1-1-gfc65f5f+50,17.0.1-1-gfc6fb1f+20,17.0.1-10-g87f9f3f+1,17.0.1-11-ge9de802+16,17.0.1-16-ga14f7d5c+4,17.0.1-17-gc79d625+1,17.0.1-17-gdae4c4a+8,17.0.1-2-g26618f5+29,17.0.1-2-g54f2ebc+9,17.0.1-2-gf403422+1,17.0.1-20-g2ca2f74+6,17.0.1-23-gf3eadeb7+1,17.0.1-3-g7e86b59+39,17.0.1-3-gb5ca14a,17.0.1-3-gd08d533+40,17.0.1-30-g596af8797,17.0.1-4-g59d126d+4,17.0.1-4-gc69c472+5,17.0.1-6-g5afd9b9+4,17.0.1-7-g35889ee+1,17.0.1-7-gc7c8782+18,17.0.1-9-gc4bbfb2+3,w.2019.22
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
7 # for details of code ownership.
8 #
9 # This program is free software: you can redistribute it and/or modify
10 # it under the terms of the GNU General Public License as published by
11 # the Free Software Foundation, either version 3 of the License, or
12 # (at your option) any later version.
13 #
14 # This program is distributed in the hope that it will be useful,
15 # but WITHOUT ANY WARRANTY; without even the implied warranty of
16 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
17 # GNU General Public License for more details.
18 #
19 # You should have received a copy of the GNU General Public License
20 # along with this program. If not, see <https://www.gnu.org/licenses/>.
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
Fit spatial kernel using approximate fluxes for candidates, and solving a linear system of equations...
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
A collection of SpatialCells covering an entire image.
Definition: SpatialCell.h:387