Fusion of JWST data: Demonstrating practical feasibility
Landry Marquis, Claire Guilloteau, Thomas Oberlin, Nicolas Dobigeon, Olivier Bern\'e

TL;DR
This paper demonstrates the first successful fusion of JWST data, combining NIRSpec and NIRCam observations to produce high-resolution hyperspectral cubes for astronomical objects.
Contribution
It introduces a novel data fusion method applied to JWST data, enabling high-resolution spatial and spectral analysis in astronomy.
Findings
Produced fused hyperspectral cubes of the protoplanetary disk and Titan
Achieved spatial resolution of NIRCam and spectral resolution of NIRSpec
Showcased potential for advanced physical property extraction from JWST data
Abstract
Data fusion is a computational process widely used in Earth observation to generate high-resolution hyperspectral data cubes with two spatial and one spectral dimensions. It merges data from instruments with complementary characteristics: one with low spatial but high spectral resolutions, and another with high spatial but low spectral resolutions. In astronomy, the use of such instrumental combinations is becoming increasingly common, making data fusion a promising approach for enhancing observational data. Until now, however, its application to astronomical data has remained unsuccessful. We present the first successful astronomical data fusion using JWST integral field spectroscopy with NIRSpec and imaging across 29 filters with NIRCam. Applied to observations of the d203-506 protoplanetary disk in Orion and of Titan, our method produces fused hyperspectral cubes with NIRCam spatial…
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