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ZENODO
Model . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Model . 2025
License: CC BY
Data sources: Datacite
ZENODO
Model . 2025
License: CC BY
Data sources: Datacite
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ASTERIS: pre-trained model for JWST NIRCam and Subaru MOIRCS

appsOther research productkeyboard_double_arrow_right Model 12 Sep 2025Publisher:Zenodo
Authors: Guo, Yuduo; Zhang, Hao; Li, Mingyu;

doi: 10.5281/zenodo.17114979 , 10.5281/zenodo.18358472

ASTERIS: pre-trained model for JWST NIRCam and Subaru MOIRCS

Abstract

ASTERIS pre-trained modelPre-trained model of ASTERIS4 and ASTERIS8 for JWST NIRCam and ASTERIS8 for Subaru MOIRCS in ks-band. Paper: Deeper detection limits in astronomical imaging using self-supervised spatio-temporal denoising Author: Yuduo Guo, Hao Zhang, Mingyu Li et al. DOI: 10.1126/science.ady9404 Tsinghua University, Beijing, China

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average