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
= {'extract_1d': <class 'jwst.extract_1d.extract_1d_step.Extract1dStep'>, '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'>}¶
Methods Documentation