Tso3Pipeline

class jwst.pipeline.Tso3Pipeline(*args, **kwargs)[source]

Bases: jwst.stpipe.Pipeline

TSO3Pipeline: Applies level 3 processing to TSO-mode data from
any JWST instrument.
Included steps are:
outlier_detection tso_photometry extract_1d white_light

See Step.__init__ for the parameters.

Attributes Summary

image_exptypes
reference_file_types
spec
step_defs

Methods Summary

process(input) Run the TSO3Pipeline

Attributes Documentation

image_exptypes = ['NRC_TSIMAGE']
reference_file_types = ['gain', 'readnoise']
spec = '\n scale_detection = boolean(default=False)\n '
step_defs = {'outlier_detection': <class 'jwst.outlier_detection.outlier_detection_step.OutlierDetectionStep'>, 'tso_photometry': <class 'jwst.tso_photometry.tso_photometry_step.TSOPhotometryStep'>, 'white_light': <class 'jwst.white_light.white_light_step.WhiteLightStep'>, 'extract_1d': <class 'jwst.extract_1d.extract_1d_step.Extract1dStep'>}

Methods Documentation

process(input)[source]

Run the TSO3Pipeline

Parameters:input (Level3 Association, json format) – The exposures to process