Fusion of JWST data: Demonstrating practical feasibility
arXiv:2603.05014 · doi:10.1051/0004-6361/202558121
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 and NIRSpec spectral resolutions. These results pave the way for extracting the physical properties from JWST data with unprecedented spatial resolution and showcase the transformative potential of data fusion in astronomy.
References in corpus (12)
- scikit-image: Image processing in Python
- The James Webb Space Telescope Mission
- NIRCam Performance on JWST In Flight
- The Near-Infrared Spectrograph (NIRSpec) on the James Webb Space Telescope III. Integral-field spectroscopy
- Star formation at the smallest scales; A JWST study of the clump populations in SMACS0723
- The MUSE Hubble Ultra Deep Field surveys: Data release II
- PDRs4All: A JWST Early Release Science Program on radiative feedback from massive stars
- PDRs4All II: JWST's NIR and MIR imaging view of the Orion Nebula
- PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization
- Simulated JWST datasets for multispectral and hyperspectral image fusion
- PDRs4All XIII. Empirical prescriptions for the interpretation of JWST imaging observations of star-forming regions
- Best of both worlds: Fusing hyperspectral data from two generations of spectro-imagers for X-ray astrophysics