TractMatchedPreparationTask

Python API summary

from lsst.faro.preparation.MatchedPreparationTasks import TractMatchedPreparationTask

classTractMatchedPreparationTask(config: lsst.pipe.base.config.PipelineTaskConfig, *args, **kwargs)

Base class for all pipeline tasks...

attributeconfig

Access configuration fields and retargetable subtasks.

methodrun(source_catalogs, photo_calibs, astrom_calibs, vIds, wcs, box, apply_external_wcs)

Run task algorithm on in-memory data...

See also

See the TractMatchedPreparationTask API reference for complete details.

Retargetable subtasks

No subtasks.

Configuration fields

apply_external_wcs

Default

False

Field type

bool Field

Apply correction to coordinates with e.g. a jointcal WCS.

connections

Data type

lsst.pipe.base.config.Connections

Field type

ConfigField

Configurations describing the connections of the PipelineTask to datatypes

match_radius

Default

1

Field type

float Field

Match radius in arcseconds.

saveMetadata

Default

True

Field type

bool Field

Flag to enable/disable metadata saving for a task, enabled by default.

wcsDimensions

Default

('instrument', 'visit', 'detector', 'band')

Field type

str ListField

Override the dimensions of the astrometric calibration objects