The MIRI/MRS Library. III. Detector-based optimal spectral extraction and high-contrast imaging applications

D. Gasman (MPIA Heidelberg), I. Argyriou (KU Leuven), D.R. Law (STScI), S. Juillard (Univ. of Arizona, Nat. Astron. Obs. Japan), V. Christiaens (Univ. Paris-Saclay, KU Leuven, Univ. Liege), O. Absil (Univ. Liege), A. Glasse (Roayl Obs. Edinburgh), K.D. Gordon (STScI), P.J. Kavanagh (Maynooth Univ.), J.E. Morrison (Univ. Arizona), P. Patapis (ETH Zürich), G.C. Sloan (STScI, UNC Chapel Hill)

2026, A&A, submitted

Context. The James Webb Space Telescope (JWST) has now been operational for five years, and the associated data reduction pipelines have reached maturity. For the Mid-InfraRed Instrument (MIRI) Medium Resolution Spectrometer (MRS), one can generally get a good quality spectrum by simply running the standard pipeline, especially for unresolved sources. However, users are starting to look deeper into the data, trying to detect the smallest features in the faintest objects, and find close companions.
Aims. Following the lower level corrections we derived in Papers I and II in this series, we now introduce a novel way to extract MIRI/MRS spectra: from the detectors directly. Currently the most common way to analyse data from integral field spectrometers like the MRS, is to reconstruct a spectral cube from the detector images. Theoretically, detector-extracted spectra could reach higher S/N, and better handle bad pixels.
Methods. We apply the charge migration and fringe corrections derived in Papers I and II to generate stable and well-sampled point-spread function (PSF) models using the sub-pixel scan of calibration star 10 Lac observed in PID 3779 during Cycle 2. These PSFs are used in a detector-based optimal extraction algorithm building on past approaches, where the contributions per pixel are weighted by their noise properties and contribution to the total illumination. Furthermore, the PSF models are used to subtract the PSF of a bright central source from the detector, both by direct subtraction, and a principal component analysis (PCA) approach.
Results. We find that our optimal setup allows us to get a > 1.5 times higher S/N on a faint source compared to the standard pipeline cube extraction. However, we approximately match more involved cube processing, where the extraction aperture is smaller and the background subtraction is performed more optimally. We are also able to subtract the PSF down to percent and sub-percent levels, allowing us to extract spectra from faint companions. Currently, the high-contrast imaging extraction quality falls short of a cube-based extraction.
Conclusions. The novel approach greatly improves on the current standard pipeline reduction, but is only able to match the performance of more optimised cube processing. However, there are clear points of improvement that can be addressed using additional data. We demonstrate that detector-based processing of MIRI/MRS data has great potential for the characterisation of faint sources and close companions.


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Last modified 21 September, 2026. © Gregory C. Sloan and others.