LSSTApplications  19.0.0-14-gb0260a2+72efe9b372,20.0.0+7927753e06,20.0.0+8829bf0056,20.0.0+995114c5d2,20.0.0+b6f4b2abd1,20.0.0+bddc4f4cbe,20.0.0-1-g253301a+8829bf0056,20.0.0-1-g2b7511a+0d71a2d77f,20.0.0-1-g5b95a8c+7461dd0434,20.0.0-12-g321c96ea+23efe4bbff,20.0.0-16-gfab17e72e+fdf35455f6,20.0.0-2-g0070d88+ba3ffc8f0b,20.0.0-2-g4dae9ad+ee58a624b3,20.0.0-2-g61b8584+5d3db074ba,20.0.0-2-gb780d76+d529cf1a41,20.0.0-2-ged6426c+226a441f5f,20.0.0-2-gf072044+8829bf0056,20.0.0-2-gf1f7952+ee58a624b3,20.0.0-20-geae50cf+e37fec0aee,20.0.0-25-g3dcad98+544a109665,20.0.0-25-g5eafb0f+ee58a624b3,20.0.0-27-g64178ef+f1f297b00a,20.0.0-3-g4cc78c6+e0676b0dc8,20.0.0-3-g8f21e14+4fd2c12c9a,20.0.0-3-gbd60e8c+187b78b4b8,20.0.0-3-gbecbe05+48431fa087,20.0.0-38-ge4adf513+a12e1f8e37,20.0.0-4-g97dc21a+544a109665,20.0.0-4-gb4befbc+087873070b,20.0.0-4-gf910f65+5d3db074ba,20.0.0-5-gdfe0fee+199202a608,20.0.0-5-gfbfe500+d529cf1a41,20.0.0-6-g64f541c+d529cf1a41,20.0.0-6-g9a5b7a1+a1cd37312e,20.0.0-68-ga3f3dda+5fca18c6a4,20.0.0-9-g4aef684+e18322736b,w.2020.45
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
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