RampFitOutputModel

class jwst.datamodels.RampFitOutputModel(init=None, slope=None, sigslope=None, var_poisson=None, var_rnoise=None, yint=None, sigyint=None, pedestal=None, weights=None, crmag=None, **kwargs)

Bases: jwst.datamodels.DataModel

A data model for the optional output of the ramp fitting step.

In the parameter definitions below, n_int is the number of integrations, max_seg is the maximum number of segments that were fit, nreads is the number of reads in an integration, and ny and nx are the height and width of the image.

Parameters:

• init (any) – Any of the initializers supported by DataModel.
• slope (numpy array (n_int, max_seg, ny, nx)) –
• sigslope (numpy array (n_int, max_seg, ny, nx)) –
• var_poisson (numpy array (n_int, max_seg, ny, nx)) –
• var_rnoise (numpy array (n_int, max_seg, ny, nx)) –
• yint (numpy array (n_int, max_seg, ny, nx)) –
• sigyint (numpy array (n_int, max_seg, ny, nx)) –
• pedestal (numpy array (n_int, max_seg, ny, nx)) –
• weights (numpy array (n_int, max_seg, ny, nx)) –
• crmag (numpy array (n_int, max_seg, ny, nx)) –

Attributes Summary

schema_url

Attributes Documentation

schema_url = 'rampfitoutput.schema.yaml'