Galaxy Model Subtraction with a Convolutional Denoising Autoencoder

Galaxy model subtraction removes the smooth light of nearby galaxies so that fainter sources (e.g., stars, star clusters, and background galaxies) can be identified and measured. Traditional approaches (isophotal or parametric fitting) are semiautomated and can be challenging for large datasets. We...

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Bibliographic Details

Published in:	The Astrophysical journal Vol. 994; no. 2; pp. 235 - 246
Main Authors:	Liu, Rongrong, Peng, Eric W., Wang, Kaixiang, Ferrarese, Laura, Côté, Patrick
Format:	Journal Article
Language:	English
Published:	Philadelphia The American Astronomical Society 01.12.2025 IOP Publishing
Subjects:	Astronomy data analysis Astronomy image processing Convolutional neural networks Datasets Dwarf galaxies Elliptic fitting Galactic clusters Galaxies Globular clusters Globular star clusters Noise reduction Recovery Star clusters Stars & galaxies Virgo galactic cluster
ISSN:	0004-637X, 1538-4357, 1538-4357
Online Access:	Get full text
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