Identification of Galaxy Shreds in Large Photometric Catalogs Using Convolutional Neural Networks

Identification of Galaxy Shreds in Large Photometric Catalogs Using Convolutional Neural Networks

Contamination from galaxy fragments, identified as sources, is a major issue in large photometric galaxy catalogs. In this paper, we prove that this problem can be easily addressed with computer vision techniques. We use image cutouts to train a convolutional neural network (CNN) to identify catalog...

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Bibliographic Details
Main Authors: Enrico M. Di Teodoro, J. E. G. Peek, John F. Wu
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astronomical Journal
Subjects:
Sky surveys
Catalogs
Astronomical techniques
Convolutional neural networks
Galaxy evolution
Online Access:https://doi.org/10.3847/1538-3881/acb53a

Internet

https://doi.org/10.3847/1538-3881/acb53a

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