Image3Pipeline

class jwst.pipeline.Image3Pipeline(*args, **kwargs)[source]

Bases: JwstPipeline

Apply level 3 processing to imaging-mode data from any JWST instrument.

Included steps are: assign_mtwcs, tweakreg, skymatch, outlier_detection, resample, and source_catalog.

See Step for the parameters.

Attributes Summary

class_alias

spec

step_defs

Methods Summary

process(input_data)

Run the Image3Pipeline on the input data.

Attributes Documentation

class_alias = 'calwebb_image3'
spec
in_memory = boolean(default=True)  # If False, preserve memory using temporary files at the expense of runtime
step_defs: ClassVar = {'assign_mtwcs': <class 'jwst.assign_mtwcs.assign_mtwcs_step.AssignMTWcsStep'>, 'outlier_detection': <class 'jwst.outlier_detection.outlier_detection_step.OutlierDetectionStep'>, 'resample': <class 'jwst.resample.resample_step.ResampleStep'>, 'skymatch': <class 'jwst.skymatch.skymatch_step.SkyMatchStep'>, 'source_catalog': <class 'jwst.source_catalog.source_catalog_step.SourceCatalogStep'>, 'tweakreg': <class 'jwst.tweakreg.tweakreg_step.TweakRegStep'>}

Methods Documentation

process(input_data)[source]

Run the Image3Pipeline on the input data.

Parameters:
input_dataLevel3 Association, or ModelLibrary

The exposures to process