lsst.meas.algorithms¶
The lsst.meas.algorithms
module provides a variety of astronomical measurement algorithms.
LSST Reference Catalogs¶
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.
- 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.