Publication Details

Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks

KOSIBA Matěj and BURGET Lukáš et al. Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks. Monthly Notices of the Royal Astronomical Society, vol. 496, no. 4, 2020, pp. 4141-4153. ISSN 1365-2966. Available from: https://academic.oup.com/mnras/article-abstract/496/4/4141/5858922?redirectedFrom=fulltext

Czech title

Klasifikace potenciálních shluků galaxií vybraných v rentgenovém oboru na více vlnových délkách pomocí konvolučních neuronových sítí

Type

journal article

Language

english

Authors

Kosiba Matěj (MUNI)
and others

URL

Keywords

galaxies: clusters: general - methods: data analysis - techniques: image processing

Published

2020

Pages

4141-4153

Journal

Monthly Notices of the Royal Astronomical Society, vol. 496, no. 4, ISSN 1365-2966

Publisher

Royal Astronomical Society(RAS)

DOI

10.1093/mnras/staa1723

UT WoS

000574923200007

EID Scopus

2-s2.0-85095411533

BibTeX

@ARTICLE{FITPUB12349,
   author = "Mat\v{e}j Kosiba and Luk\'{a}\v{s} Burget and et al.",
   title = "Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks",
   pages = "4141--4153",
   journal = "Monthly Notices of the Royal Astronomical Society",
   volume = 496,
   number = 4,
   year = 2020,
   ISSN = "1365-2966",
   doi = "10.1093/mnras/staa1723",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12349"
}