Tso3Pipeline¶
- class jwst.pipeline.Tso3Pipeline(*args, **kwargs)[source]¶
Bases:
JwstPipeline
- TSO3Pipeline: Applies level 3 processing to TSO-mode data from
any JWST instrument.
Included steps are:
outlier_detection
tso_photometry
extract_1d
photom
white_light
See
Step.__init__
for the parameters.Attributes Summary
Methods Summary
process
(input)Run the TSO3Pipeline
Attributes Documentation
- class_alias = 'calwebb_tso3'¶
- reference_file_types = ['gain', 'readnoise']¶
- spec¶
scale_detection = boolean(default=False)
- step_defs = {'extract_1d': <class 'jwst.extract_1d.extract_1d_step.Extract1dStep'>, 'outlier_detection': <class 'jwst.outlier_detection.outlier_detection_step.OutlierDetectionStep'>, 'photom': <class 'jwst.photom.photom_step.PhotomStep'>, 'tso_photometry': <class 'jwst.tso_photometry.tso_photometry_step.TSOPhotometryStep'>, 'white_light': <class 'jwst.white_light.white_light_step.WhiteLightStep'>}¶
Methods Documentation