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
Classes | Functions
lsst.pipe.tasks.measurePsf Namespace Reference

Classes

class  MeasurePsfConfig
 
class  MeasurePsfTask
 Measure the PSF. More...
 

Functions

def showPsfSpatialCells (exposure, cellSet, showBadCandidates, frame=1)
 
def plotPsfCandidates (cellSet, showBadCandidates=False, frame=1)
 
def plotResiduals (exposure, cellSet, showBadCandidates=False, normalizeResiduals=True, frame=2)
 

Function Documentation

◆ plotPsfCandidates()

def lsst.pipe.tasks.measurePsf.plotPsfCandidates (   cellSet,
  showBadCandidates = False,
  frame = 1 
)

Definition at line 356 of file measurePsf.py.

356 def plotPsfCandidates(cellSet, showBadCandidates=False, frame=1):
357  stamps = []
358  for cell in cellSet.getCellList():
359  for cand in cell.begin(not showBadCandidates): # maybe include bad candidates
360  try:
361  im = cand.getMaskedImage()
362 
363  chi2 = cand.getChi2()
364  if chi2 < 1e100:
365  chi2 = "%.1f" % chi2
366  else:
367  chi2 = float("nan")
368 
369  stamps.append((im, "%d%s" %
370  (maUtils.splitId(cand.getSource().getId(), True)["objId"], chi2),
371  cand.getStatus()))
372  except Exception:
373  continue
374 
375  mos = afwDisplay.utils.Mosaic()
376  disp = afwDisplay.Display(frame=frame)
377  for im, label, status in stamps:
378  im = type(im)(im, True)
379  try:
380  im /= afwMath.makeStatistics(im, afwMath.MAX).getValue()
381  except NotImplementedError:
382  pass
383 
384  mos.append(im, label,
385  afwDisplay.GREEN if status == afwMath.SpatialCellCandidate.GOOD else
386  afwDisplay.YELLOW if status == afwMath.SpatialCellCandidate.UNKNOWN else afwDisplay.RED)
387 
388  if mos.images:
389  disp.mtv(mos.makeMosaic(), title="Psf Candidates")
390 
391 

◆ plotResiduals()

def lsst.pipe.tasks.measurePsf.plotResiduals (   exposure,
  cellSet,
  showBadCandidates = False,
  normalizeResiduals = True,
  frame = 2 
)

Definition at line 392 of file measurePsf.py.

392 def plotResiduals(exposure, cellSet, showBadCandidates=False, normalizeResiduals=True, frame=2):
393  psf = exposure.getPsf()
394  disp = afwDisplay.Display(frame=frame)
395  while True:
396  try:
397  maUtils.showPsfCandidates(exposure, cellSet, psf=psf, display=disp,
398  normalize=normalizeResiduals,
399  showBadCandidates=showBadCandidates)
400  frame += 1
401  maUtils.showPsfCandidates(exposure, cellSet, psf=psf, display=disp,
402  normalize=normalizeResiduals,
403  showBadCandidates=showBadCandidates,
404  variance=True)
405  frame += 1
406  except Exception:
407  if not showBadCandidates:
408  showBadCandidates = True
409  continue
410  break
411 
412  return frame

◆ showPsfSpatialCells()

def lsst.pipe.tasks.measurePsf.showPsfSpatialCells (   exposure,
  cellSet,
  showBadCandidates,
  frame = 1 
)

Definition at line 343 of file measurePsf.py.

343 def showPsfSpatialCells(exposure, cellSet, showBadCandidates, frame=1):
344  disp = afwDisplay.Display(frame=frame)
345  maUtils.showPsfSpatialCells(exposure, cellSet,
346  symb="o", ctype=afwDisplay.CYAN, ctypeUnused=afwDisplay.YELLOW,
347  size=4, display=disp)
348  for cell in cellSet.getCellList():
349  for cand in cell.begin(not showBadCandidates): # maybe include bad candidates
350  status = cand.getStatus()
351  disp.dot('+', *cand.getSource().getCentroid(),
352  ctype=afwDisplay.GREEN if status == afwMath.SpatialCellCandidate.GOOD else
353  afwDisplay.YELLOW if status == afwMath.SpatialCellCandidate.UNKNOWN else afwDisplay.RED)
354 
355 
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.pipe.tasks.measurePsf.plotPsfCandidates
def plotPsfCandidates(cellSet, showBadCandidates=False, frame=1)
Definition: measurePsf.py:356
lsst.pipe.tasks.measurePsf.plotResiduals
def plotResiduals(exposure, cellSet, showBadCandidates=False, normalizeResiduals=True, frame=2)
Definition: measurePsf.py:392
type
table::Key< int > type
Definition: Detector.cc:163
lsst.pipe.tasks.measurePsf.showPsfSpatialCells
def showPsfSpatialCells(exposure, cellSet, showBadCandidates, frame=1)
Definition: measurePsf.py:343