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This is an evolving list of areas of the JWST ramp fitting step code that should be reviewed and possibly changed:
Roman datasets will have only a single integration, so:
a) eliminate loops over integrations
b) eliminate calculations of averages (and other statistics) over integrations and the associated output file(s)
Multi-processing has recently been added to the JWST ramp fitting; presumably this can left as is for Roman but will need to be verified.
The JWST version of ramp fitting expects input to be the jump detection output; it will need to be verified that the code will still work if the jump detection step is skipped.
The text was updated successfully, but these errors were encountered:
I have copied a first iteration of utils.py to ███████████████████████████████████████████ I revised the code to handle only a single integration ( "dis-integrating" the code ), which includes reducing the dimensionality of many arrays, and removing code for the integration-specific calculations and their output. This will probably need further revision as I modify the code in the other python files that use these functions in utils.py.
Issue RCAL-72 was created on JIRA by David Grumm:
This is an evolving list of areas of the JWST ramp fitting step code that should be reviewed and possibly changed:
Roman datasets will have only a single integration, so:
a) eliminate loops over integrations
b) eliminate calculations of averages (and other statistics) over integrations and the associated output file(s)
Multi-processing has recently been added to the JWST ramp fitting; presumably this can left as is for Roman but will need to be verified.
The JWST version of ramp fitting expects input to be the jump detection output; it will need to be verified that the code will still work if the jump detection step is skipped.
The text was updated successfully, but these errors were encountered: