FinalizeCharacterizationTask¶
FinalizeCharacterizationTask is a task to rerun image characterization (determine the PSF model and measure aperture corrections) after initial characterization, calibration, and isolated star association.
Currently, this allows PSF stars to be reserved consistently for all overlapping visits/detectors.
In the future, this task will allow PSF and aperture correction modeling to take advantage of full visits (utilizing all the detectors) as well as the refined astrometric model.
Processing summary¶
FinalizeCharacterizationTask first reads the isolated source association table to get a consistent list of PSF modeling and reserve stars, and then runs PSF modeling and aperture correction modeling per detector.
In the first stage, the task will:
- Read in
isolated_star_catandisolated_star_sourcesfor all tracts that overlap the given visit. - Select isolated sources that have been detected in the band of the visit.
- Reserve a configurable fraction of these isolated sources using the task configured in
config.reserve_selection.
In the second stage, the task will run per-detector:
- Select sources (
src) from the calibrated exposure (calexp) above a configurable signal-to-noise. - Match by source id to the
isolated_star_sourcesand mark PSF candidate and reserve stars. - Make PSF candidates using the task configured in
config.make_psf_candidates. - Determine the PSF using the configured PSF determination task configured in
config.psf_determiner. - Run measurement on the PSF candidate, used, and reserved stars using the task configured in
config.measurement. - Run the aperture correction measurement task configured in
config.measure_ap_corrusing the PSF stars. - Run the aperture correction application task configured in
config.apply_ap_corron the PSF stars.
An exposure catalog containing all the PSF models in the visit, another containing all the aperture correction maps in the visit, and a data frame with all the measurements and flags are returned for persistence.
Python API summary¶
from lsst.pipe.tasks.finalizeCharacterization import FinalizeCharacterizationTask
-
class
FinalizeCharacterizationTask Run final characterization on exposures
...
-
attribute
config Access configuration fields and retargetable subtasks.
-
method
run Run the FinalizeCharacterizationTask
...
See also
See the FinalizeCharacterizationTask API reference for complete details.
Retargetable subtasks¶
apply_ap_corr¶
- Default
lsst.meas.base.applyApCorr.ApplyApCorrTask- Field type
ConfigurableField
make_psf_candidates¶
- Default
lsst.meas.algorithms.makePsfCandidates.MakePsfCandidatesTask- Field type
ConfigurableField
measure_ap_corr¶
- Default
lsst.meas.algorithms.measureApCorr.MeasureApCorrTask- Field type
ConfigurableField
measurement¶
- Default
lsst.meas.base.sfm.SingleFrameMeasurementTask- Field type
ConfigurableField
psf_determiner¶
- Default
'piff'- Field type
- Single-selection
RegistryField - Choices
'pca'lsst.meas.algorithms.pcaPsfDeterminer.PcaPsfDeterminerTask'psfex'lsst.meas.extensions.psfex.psfexPsfDeterminer.PsfexPsfDeterminerTask'piff'lsst.meas.extensions.piff.piffPsfDeterminer.PiffPsfDeterminerTask
reserve_selection¶
- Default
lsst.pipe.tasks.reserveIsolatedStars.ReserveIsolatedStarsTask- Field type
ConfigurableField
source_selector¶
- Default
'science'- Field type
- Single-selection
RegistryField - Choices
'science'lsst.meas.algorithms.sourceSelector.ScienceSourceSelectorTask'references'lsst.meas.algorithms.sourceSelector.ReferenceSourceSelectorTask'objectSize'lsst.meas.algorithms.objectSizeStarSelector.ObjectSizeStarSelectorTask'flagged'lsst.meas.algorithms.flaggedSourceSelector.FlaggedSourceSelectorTask'astrometry'lsst.meas.algorithms.astrometrySourceSelector.AstrometrySourceSelectorTask'matcher'lsst.meas.algorithms.matcherSourceSelector.MatcherSourceSelectorTask'diaCatalog'lsst.ip.diffim.diaCatalogSourceSelector.DiaCatalogSourceSelectorTask
Configuration fields¶
connections¶
- Data type
lsst.pipe.base.config.Connections- Field type
ConfigField