lsst.meas.algorithms

The lsst.meas.algorithms module provides a variety of astronomical measurement algorithms.

Task reference

Tasks

BasePsfDeterminerTask
Base class for PSF determiners
DynamicDetectionTask
Detection of sources on an image with a dynamic threshold
FlaggedSourceSelectorTask
A trivial SourceSelector that simply uses an existing flag field to filter a SourceCatalog.
InstallGaussianPsfTask
Install a Gaussian PSF model in an exposure. If the exposure already has a PSF model then the new model has the same sigma and size (width and height in pixels) of the existing model.
LoadIndexedReferenceObjectsTask
Load reference objects from an indexed catalog ingested by IngestIndexReferenceTask.
LoadReferenceObjectsTask
Abstract base class to load objects from reference catalogs.
MakePsfCandidatesTask
Create PSF candidates given an input catalog.
MatcherSourceSelectorTask
Select sources that are useful for matching.
MeasureApCorrTask
Task to measure aperture correction
ObjectSizeStarSelectorTask
A star selector that looks for a cluster of small objects in a size-magnitude plot.
PcaPsfDeterminerTask
A measurePsfTask psf estimator.
SourceDetectionTask
Create the detection task. Most arguments are simply passed onto pipe.base.Task.

Command-line tasks

IngestGaiaReferenceTask
A special-cased version of the refcat ingester for Gaia DR2.
IngestIndexedReferenceTask
Class for producing and loading indexed reference catalogs.

Contributing

lsst.meas.algorithms is developed at https://github.com/lsst/meas_algorithms. You can find Jira issues for this module under the meas_algorithms component.