DeepMerge – II. Building robust deep learning algorithms for merging galaxy identification across domains

In astronomy, neural networks are often trained on simulation data with the prospect of being used on telescope observations. Unfortunately, training a model on simulation data and then applying it to instrument data leads to a substantial and potentially even detrimental decrease in model accuracy...

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Bibliographic Details

Published in:	Monthly notices of the Royal Astronomical Society Vol. 506; no. 1; pp. 677 - 691
Main Authors:	Ćiprijanović, A, Kafkes, D, Downey, K, Jenkins, S, Perdue, G N, Madireddy, S, Johnston, T, Snyder, G F, Nord, B
Format:	Journal Article
Language:	English
Published:	United Kingdom Oxford University Press 01.09.2021
Subjects:	ASTRONOMY AND ASTROPHYSICS galaxies: evolution galaxies: interactions INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY methods: data analysis techniques: image processing
ISSN:	0035-8711, 1365-2966
Online Access:	Get full text
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