PixelReplaceArrays

class jwst.pixel_replace.pixel_replace.PixelReplaceArrays(data: ndarray, dq: ndarray, err: ndarray, var_poisson: ndarray | None, var_rnoise: ndarray | None, var_flat: ndarray | None, dispersion_direction: int)[source]

Bases: object

Container for data arrays and dispersion direction.

Algorithms operate on this dataclass rather than on a JwstDataModel. This avoids the overhead of constructing intermediate DataModel objects, which was slowing runtime for TSO data with thousands of integrations, and provides a consistent interface for PixelReplacement.mingrad() and PixelReplacement.fit_profile().

Attributes Summary

`data`	Science array.
`dispersion_direction`	Dispersion direction.
`dq`	Data quality array.
`err`	Total error array.
`var_flat`	Flat-field variance array.
`var_poisson`	Poisson variance array.
`var_rnoise`	Read-noise variance array.

Attributes Documentation

data: ndarray = <dataclasses._MISSING_TYPE object>: Science array.

dispersion_direction: int = <dataclasses._MISSING_TYPE object>: Dispersion direction.

dq: ndarray = <dataclasses._MISSING_TYPE object>: Data quality array.

err: ndarray = <dataclasses._MISSING_TYPE object>: Total error array.

var_flat: ndarray | None = <dataclasses._MISSING_TYPE object>: Flat-field variance array.

var_poisson: ndarray | None = <dataclasses._MISSING_TYPE object>: Poisson variance array.

var_rnoise: ndarray | None = <dataclasses._MISSING_TYPE object>: Read-noise variance array.