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

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
dark_decay		dark_decay (opt)	RampModel	DN	3-D dark decay corrected data
wfi18_transient		wfi18_transient (opt)	RampModel	DN	3-D data corrected for WFI18 transient
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_catalog		sourcecatalogstep (opt)	ImageModel	DN/s	2-D data
		cat	astropy.table		A catalog of detected sources
		segm	SegmentationMapModel		segmentation map
tweakreg		tweakregstep (opt)	ImageModel	DN/s	WCS aligned with GAIA
		cal	ImageModel	DN/s	2-D calibrated exposure data

High Level Processing (HLP) Steps And Data Products

Pipeline	Input	Output(s)	Base	Units	Description
romancal.pipeline.MosaicPipeline	cal	coadd	Exp	MJy/sr	2-D calibrated data

The following table contain lists of all data product types for the Mosaic Processing Pipeline in the HLP, based on the step and the output file suffix. The input to the HLP is an association file (in JSON format), the outputs are a combined image, a source catalog of detected sources, and a segmentation map. 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
flux	asn	flux (opt)	ImageModel	MJy/sr	A 2D flux image
sky_match	asn	skymatch (opt)	ModelLibrary	MJy/sr	A 2D image with sky levels computed
outlier_detection	asn	outlier_detection_step (opt)	ModelLibrary	MJy/sr	A 2D image with outliers flagged
resample	asn	coadd	ModelLibrary	MJy/sr	A 2D resampled image
source catalog	image	cat	astropy.table	\(\mu\text{Jy}\)	A catalog of detected sources
	image	segm	SegmentationMapModel		A segmention map