Reference/API#

niriss_tools.pipeline Package#

A subpackage to aid in running various components as part of a pipeline.

`find_matches`(img_dir, info_dict[, pattern, ...])	Update an info_dict with matches from a specified directory.
`gen_associations`(raw_output_dir[, field_name])	Generate exposure tables for each group of filters and grisms.
`grism_background_subtraction`([prep_dir, ...])	Model and subtract a dispersed background from WFSS data.
`load_assoc`([ra, dec, radius, proposal_id, ...])	Load exposure tables and association names from the DJA.
`parse_files_grizli_aws`(data_dir[, root, ...])	Parse files processed using grizli aws/DJA into a `dict`.
`parse_images_from_pattern`(img_dir[, pattern])	Populate a dict with info and locations of images matching a pattern.
`process_using_aws`(grizli_home_dir, ...[, ...])	Process WFSS data using the functions in `grizli.aws`.
`queryMAST`(pid[, instrument, use_filter])	Query MAST for the full list of observations for specific PID.
`recursive_merge`(d1, d2)	Recursively merge two dictionaries.
`regen_catalogue`(new_seg_map[, root, sci, ...])	Make a catalog from drizzle products using SEP.
`run_det1`(uncal_path, output_dir, **kwargs)	Run the level 1 detector pipeline on an uncalibrated image.
`seg_slice`(seg_map, seg_id[, padding, ...])	Find the location of an object in a segmentation map.
`stsci_det1`(uncal_dir, raw_output_dir[, ...])	Run the JWST level 1 detector pipeline.