LSST Applications  21.0.0+04719a4bac,21.0.0-1-ga51b5d4+f5e6047307,21.0.0-11-g2b59f77+a9c1acf22d,21.0.0-11-ga42c5b2+86977b0b17,21.0.0-12-gf4ce030+76814010d2,21.0.0-13-g1721dae+760e7a6536,21.0.0-13-g3a573fe+768d78a30a,21.0.0-15-g5a7caf0+f21cbc5713,21.0.0-16-g0fb55c1+b60e2d390c,21.0.0-19-g4cded4ca+71a93a33c0,21.0.0-2-g103fe59+bb20972958,21.0.0-2-g45278ab+04719a4bac,21.0.0-2-g5242d73+3ad5d60fb1,21.0.0-2-g7f82c8f+8babb168e8,21.0.0-2-g8f08a60+06509c8b61,21.0.0-2-g8faa9b5+616205b9df,21.0.0-2-ga326454+8babb168e8,21.0.0-2-gde069b7+5e4aea9c2f,21.0.0-2-gecfae73+1d3a86e577,21.0.0-2-gfc62afb+3ad5d60fb1,21.0.0-25-g1d57be3cd+e73869a214,21.0.0-3-g357aad2+ed88757d29,21.0.0-3-g4a4ce7f+3ad5d60fb1,21.0.0-3-g4be5c26+3ad5d60fb1,21.0.0-3-g65f322c+e0b24896a3,21.0.0-3-g7d9da8d+616205b9df,21.0.0-3-ge02ed75+a9c1acf22d,21.0.0-4-g591bb35+a9c1acf22d,21.0.0-4-g65b4814+b60e2d390c,21.0.0-4-gccdca77+0de219a2bc,21.0.0-4-ge8a399c+6c55c39e83,21.0.0-5-gd00fb1e+05fce91b99,21.0.0-6-gc675373+3ad5d60fb1,21.0.0-64-g1122c245+4fb2b8f86e,21.0.0-7-g04766d7+cd19d05db2,21.0.0-7-gdf92d54+04719a4bac,21.0.0-8-g5674e7b+d1bd76f71f,master-gac4afde19b+a9c1acf22d,w.2021.13
LSST Data Management Base Package
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 #
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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
A collection of SpatialCells covering an entire image.
Definition: SpatialCell.h:387
Statistics makeStatistics(lsst::afw::image::Image< Pixel > const &img, lsst::afw::image::Mask< image::MaskPixel > const &msk, int const flags, StatisticsControl const &sctrl=StatisticsControl())
Handle a watered-down front-end to the constructor (no variance)
Definition: Statistics.h:354
Fit spatial kernel using approximate fluxes for candidates, and solving a linear system of equations.