Data Product Types

The following tables contain lists of all data product types.

Exposure Level Data Products

Pipeline	Input	Output(s)	Base	Units	Description
romancal.pipeline.ExposurePipeline	uncal	cal	Exp	DN/s	2-D calibrated data
romancal.pipeline.HighLevelPipeline	cal	i2d	Exp	DN/s	2-D calibrated data

Exposure Pipeline Steps And Data Products

The following table contains lists of all data product types for the Exposure pipeline, as given by their file name suffix. The input uncal file and the final cal file are the only files that are produced in the standard processing. All the other are optional (opt) files that can be produced when the user is running the pipeline. The input for each optional step is the output of the preceding step.

Pipeline Step	Input	Output suffix	Data Model	Units	Description
		uncal	ScienceRawModel	DN	3-D uncalibrated exposure data
dq_init	uncal	dqinit (opt)	RampModel	DN	3-D data quality flags applied
saturation		saturation (opt)	RampModel	DN	3-D data saturated values flagged
refpix		refpix (opt)	RampModel	DN	3-D ref pix corrected data
linearity		linearity (opt)	RampModel	DN	3-D linearity corrected data
dark_current		darkcurrent (opt)	RampModel	DN	3-D dark current subtracted data
ramp_fitting		rampfit (opt)	ImageModel	DN/s	2-D slope corrected data
assign_wcs		assignwcs (opt)	ImageModel	DN/s	2-D data with gwcs
flatfield		flat (opt)	ImageModel	DN/s	2-D QE corrected data
photom		photom (opt)	ImageModel	DN/s	Add phometric data to header
source_detection		sourcedetectionstep (opt)	ImageModel	DN/s	Sources identified in the data
tweakreg		tweakregstep (opt)	ImageModel	DN/s	WCS aligned with GAIA
		cal	ImageModel	DN/s	2-D calibrated exposure data

High Level Processing Steps And Data Products

The following table contain lists of all data product types for the HighLevel Processsing (HLP) Pipeline, as given by their file name suffix. The input to the HLP is an association file (in JSON format), the output is a combined image. All the other are optional (opt) files that can be produced when the user is running the pipeline. The input for each optional step is the output of the preceding step.

Pipeline Step	Input	Output suffix	Data Model	Units	Description
		asn
sky_match	asn	skymatch (opt)	ModelContainer	MJy/sr	A list of _cal files
outlier_detection		outlier_detection_step (opt)	ModelContainer	MJy/sr	A list of _cal files
resample		resamplestep (opt)	ModelContainer	MJy/sr	A list of _cal files
		i2d	MosaicModel	MJy/sr	A 2D resampled image