PerTractInput¶

class lsst.drp.tasks.update_visit_summary.PerTractInput(catalogs_by_tract: list[tuple[lsst.skymap.tractInfo.TractInfo, lsst.afw.table.ExposureCatalog]])¶

Wrapper class for input ExposureCatalog datasets that are per-tract.

This selects the best tract via the minimum average distance (on the sky) from the detector’s corners to the tract center.

Methods Summary

`best_for_detector`(detector_id[, center, bbox])	Return the exposure record for this detector that is the best match for this detector.
`load`(butler, sky_map, refs)	Load and wrap input catalogs.

Methods Documentation

best_for_detector(detector_id: int, center: SpherePoint | None = None, bbox: Box2I | None = None) → tuple[int, lsst.afw.table.ExposureRecord | None]¶

Return the exposure record for this detector that is the best match for this detector.

Parameters:

detector_idint: Detector ID; used to find the right row in the catalog or catalogs.
centerlsst.geom.SpherePoint or None: Center of the detector in sky coordinates. If not provided, one will be computed via compute_center_for_detector_record.
bboxlsst.geom.Box2I, optional: Bounding box for the detector in its own pixel coordinates.

Returns:

tract_idint: ID of the tract that supplied this record, or -1 if record is None or if the input was not per-tract.
recordlsst.afw.table.ExposureRecord or None: Best record for this detector, or None if there either were no records for this detector or no WCS available to compute a center.

Load and wrap input catalogs.

Parameters:

butlerlsst.pipe.base.ButlerQuantumContext: Butler proxy used in runQuantum.
sky_maplsst.skymap.BaseSkyMap: Definition of tracts and patches.
refsIterable [lsst.daf.butler.DatasetRef]: References to the catalog datasets to load.

Returns: