A Recipe for Unbiased Background Modeling in Deep Wide-field Astronomical Images

A Recipe for Unbiased Background Modeling in Deep Wide-field Astronomical Images

Unbiased sky background modeling is crucial for the analysis of deep wide-field images, but it remains a major challenge in low surface brightness astronomy. Traditional image processing algorithms are often designed to produce artificially flat backgrounds, erasing astrophysically meaningful struct...

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Bibliographic Details
Main Authors: Qing Liu, Roberto Abraham, Peter G. Martin, William P. Bowman, Pieter van Dokkum, Steven R. Janssens, Seery Chen, Michael A. Keim, Deborah Lokhorst, Imad Pasha, Zili Shen, Jielai Zhang
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal
Subjects:
Low surface brightness galaxies
Astronomy data reduction
Interstellar dust
Astronomy image processing
Astronomical techniques
Sky surveys
Online Access:https://doi.org/10.3847/1538-4357/acdee3

Internet

https://doi.org/10.3847/1538-4357/acdee3

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