ASTERIS, a self-supervised spatiotemporal denoising algorithm, improves astronomical detection limits by 1 magnitude at 90% completeness while identifying three times more redshift >9 galaxy candidates in JWST images.
Specifically, F115W- F150W ≥ 1.3 mag for F115W dropout sources, F150W-F200W ≥ 1.3 mag for F150W dropout sources, and F200W-F277W ≥ 1.3 mag for F200W dropout sources
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Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising
ASTERIS, a self-supervised spatiotemporal denoising algorithm, improves astronomical detection limits by 1 magnitude at 90% completeness while identifying three times more redshift >9 galaxy candidates in JWST images.