Description
- Class:
- Alias:
mrs_imatch
Overview
This step has been deprecated and will be skipped by default in the calwebb_spec3 pipeline.
The mrs_imatch
step “matches” image intensities of several input
2D MIRI MRS images by fitting polynomials to cube intensities (cubes built
from the input 2D images), in such a way as to minimize - in the least squares
sense - inter-image mismatches in intensity. The “background matching” polynomials
are defined in the frame of world coordinates (e.g. RA, DEC, lambda).
If any of background polynomial coefficients are a nan then the step is skipped and S_MRSMAT is set to SKIPPED.
Any sources in the scene are identified via sigma clipping and removed from the matching region.
Assumptions
Because the fitted polynomials are defined in terms of world coordinates, and because the algorithm needs to build 3D cubes for each input image, all input images need to have a valid WCS defined.
Algorithm
This step builds a system of linear equations
whose solution \(c\) is a set of coefficients of (multivariate) polynomials that represent the “background” in each input image (these are polynomials that are “corrections” to the intensities in the input images) such that the following sum is minimized:
In the above equation, index \(k=(k_1,k_2,...)\) labels a position in an input image’s pixel grid [NOTE: all input images share a common pixel grid].
“Background” polynomials \(P_n(k)\) are defined through the corresponding coefficients as:
Step Arguments
The mrs_imatch
step has two optional arguments:
bkg_degree
The background polynomial degree (int; default=1)
subtract
Indicates whether the computed matching “backgrounds” should be subtracted from the image data (bool; default=False)
Reference Files
This step does not require any reference files.
Also See
See wiimatch package documentation for more details.