Outlier Detection for Slit-like Spectroscopic Data¶
This module serves as the interface for applying outlier_detection
to slit-like
spectroscopic observations. The code implements the
basic outlier detection algorithm used with HST data, as adapted to JWST
spectroscopic observations.
Specifically, this routine performs the following operations (modified from the Default Outlier Detection Algorithm ):
Extract parameter settings from input model and merge them with any user-provided values
the same set of parameters available to: ref:
Default Outlier Detection Algorithm
also applies to this code
Convert input data, as needed, to make sure it is in a format that can be processed
A
ModelContainer
serves as the basic format for all processing performed by this step, as each entry will be treated as an element of a stack of images to be processed to identify bad pixels, cosmic-rays and other artifactsIf the input data is a
CubeModel
, convert it into aModelContainer
. This allows each plane of the cube to be treated as a separate 2D image for resampling (if done) and for combining into a median image.
Resample all input images into a
ModelContainer
usingResampleSpecData
Resampled images are written out to disk if the
save_intermediate_results
parameter is set toTrue
If resampling is turned off, the original inputs are used to create the median image for cosmic-ray detection
Create a median image from (possibly) resampled
ModelContainer
The median image is written out to disk if the
save_intermediate_results
parameter is set toTrue
Blot median image to match each original input image
Resampled/blotted images are written out to disk if the
save_intermediate_results
parameter is set toTrue
If resampling is turned off, the median image is used for comparison with the original input models for detecting outliers
Perform statistical comparison between blotted image and original image to identify outliers
Update input data model DQ arrays with mask of detected outliers
jwst.outlier_detection.outlier_detection_spec Module¶
Class definition for performing outlier detection on spectra.
Classes¶
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Class definition for performing outlier detection on spectra. |