| Issue |
A&A
Volume 710, June 2026
|
|
|---|---|---|
| Article Number | A6 | |
| Number of page(s) | 10 | |
| Section | Numerical methods and codes | |
| DOI | https://doi.org/10.1051/0004-6361/202558120 | |
| Published online | 28 May 2026 | |
PDRs4All
XXI. Haute Couture: Spectral stitching of JWST MIRI-IFU cubes with matrix completion
1
Institut de Recherche en Astrophysique et Planétologie (IRAP), CNRS, CNES, Université de Toulouse,
France
2
Institut de Recherche en Informatique de Toulouse (IRIT), CNRS, Toulouse INP, Université de Toulouse,
France
3
Department of Physics & Astronomy, The University of Western Ontario,
Canada
4
Department of Astronomy, Graduate School of Science, The University of Tokyo,
Japan
★ Corresponding author. This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
14
November
2025
Accepted:
18
February
2026
Abstract
The Mid-Infrared Instrument (MIRI) is the imager and spectrograph covering wavelengths from 4.9 to 27.9 μm on board the James Webb Space Telescope (JWST). The MIRI Medium-Resolution Spectrometer (MRS) consists of four integral field units (IFU) and two wheels with three rotation settings, producing four spectral channels and three spectral sub-channels.. The 12 resulting spectral data cubes have different fields of view, spatial coverages, and spectral resolutions. The wavelength range of each cube partially overlaps with the neighboring bands, and the overlap regions typically show flux mismatches that have to be corrected by spectral stitching methods. The aim of stitching methods is to produce a single data cube incorporating the data of the individual sub-channels, which requires matching the spatial resolution and the flux discrepancies. We present Haute Couture, a novel stitching algorithm that uses nonnegative matrix factorization to perform a matrix completion, where the available MRS data cubes are treated as 12 sub-matrices of a larger incomplete matrix. Prior to matrix completion, we also introduced a novel preprocessing method to homogenize the global intensities of the 12 cubes. Our preprocessing consists of jointly optimizing a set of global scale parameters that maximize the fit between the cubes where spectral overlap occurs. We applied our novel stitching method to JWST data obtained as part of the PDRs4All observing program of the Orion Bar and produced a uniform cube reconstructed with the best spatial resolution over the full range of wavelengths.
Key words: methods: data analysis / methods: numerical / techniques: image processing
© The Authors 2026
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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