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1887
3561970
Galaxy Light Profile Convolutional Neural Networks (GaLNets). I. Fast and accurate structural parameters for billion-galaxy samples
Author(s):
Li, R.; Napolitano, N.R.; Roy, N.; Tortora, C.; La Barbera, F.; Sonnenfeld, A. (
0000-0002-6061-5977
); Qiu, C.; Liu, S.
Published
2022
Publication type
Article / Letter to editor
Galaxy structure
Galaxy formation
Neural networks
622
595
1933
Astrophysics - Astrophysics of Galaxies
Date issued
2022
Language
English
Is part of
The Astrophysical Journal (2022), No. 2, 152
hdl
1887/3561970
doi
10.3847/1538-4357/ac5ea0
URL
https://ui.adsabs.harvard.edu/abs/2022ApJ...929..152L
Persistent identifier url
https://hdl.handle.net/1887/3561970
Documents
01 - Li_2022_ApJ_929_152
version: Publisher's Version
Full text at Publisher's site
Open Access