liger_iris_pipeline.dq_init.dq_initialization

Functions

check_dimensions(input_model)

Check that the input model pixeldq attribute has the same dimensions as the image plane of the input model science data If it has dimensions (0,0), create an array of zeros with the same shape as the image plane of the input model.

correct_model(input_model, mask_model)

Perform the dq_init step on a JWST datamodel

do_dqinit(input_model, mask_model)

Perform the dq_init step on a JWST datamodel
liger_iris_pipeline.dq_init.dq_initialization.check_dimensions(input_model)[source]

Check that the input model pixeldq attribute has the same dimensions as the image plane of the input model science data If it has dimensions (0,0), create an array of zeros with the same shape as the image plane of the input model. For the FGS modes, the GuiderRawModel has only a regular dq array (no pixeldq or groupdq)

Parameters:

input_model (JWST datamodel) – input datamodel

Returns:

None

liger_iris_pipeline.dq_init.dq_initialization.correct_model(input_model, mask_model)[source]

Perform the dq_init step on a JWST datamodel

Parameters:

  • input_model (input JWST datamodel) – The jwst datamodel to be corrected

  • mask_model (mask datamodel) – The mask model to use in the correction

Returns:

output_model (JWST datamodel) – The corrected JWST datamodel

liger_iris_pipeline.dq_init.dq_initialization.do_dqinit(input_model, mask_model)[source]

Perform the dq_init step on a JWST datamodel

Parameters:

  • input_model (input JWST datamodel) – The jwst datamodel to be corrected

  • mask_model (mask datamodel) – The mask model to use in the correction

Returns:

output_model (JWST datamodel) – The corrected JWST datamodel