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A Geometric Approach to Estimate Background in Astronomical Images

open access: yesThe Astrophysical Journal Supplement Series
Estimating the true background in an astronomical image is fundamental to detecting faint sources. In a typical low-photon-count astronomical image, such as in the far- and near-ultraviolet wavelength ranges, conventional methods relying on 3 σ clipping ...
Pushpak Pandey, Kanak Saha
doaj   +1 more source

Denoising Astronomical Images with an Unsupervised Deep Learning Based Method [PDF]

open access: green, 2023
Tie Liu   +7 more
openalex   +1 more source

Connecting the astronomical testbed community -- the CAOTIC project: Optimized teaching methods for software version control concepts

open access: green, 2022
Iva Laginja   +6 more
openalex   +2 more sources

Reconstruction of Extreme Sea Levels in coastal China using Multiple Deep Learning models. [PDF]

open access: yesSci Data
Fang J   +8 more
europepmc   +1 more source

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