run_jwst_outliers¶
- grizli.jwst_outliers.run_jwst_outliers(models, step_kwargs={'in_memory': False, 'save_intermediate_results': False, 'scale': '2.5 0.7', 'snr': '8.0 5.0'})[source]¶
Run JWST
OutlierDetectionStepon a list of data models.- Parameters
- modelslist
JWST data models made from Grizli-prepped rate files.
- **kwargsdict
Keyword arguments passed directly to
OutlierDetectionStep.
- Returns
- outlier_dq_arrayslist
Updated DQ arrays from the outlier step, converted to
uint32.