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1 Ergebnisse
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Machine learning methods to estimate observational properti..:
de Andres, Daniel
;
Yepes, Gustavo
;
Sembolini, Federico
...
Monthly Notices of the Royal Astronomical Society. 518 (2022) 1 - p. 111-129 , 2022
Link:
https://doi.org/10.1093/mnras/stac3009
RT Journal T1 <Title>Machine learning methods to estimate observational properties of galaxy clusters in large volume cosmological N-body simulations</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_mnras_stac3009&Exemplar=1&LAN=DE A1 de Andres, Daniel A1 Yepes, Gustavo A1 Sembolini, Federico A1 Martínez-Muñoz, Gonzalo A1 Cui, Weiguang A1 Robledo, Francisco A1 Chuang, Chia-Hsun A1 Rasia, Elena PB Oxford University Press (OUP) YR 2022 SN 0035-8711 SN 1365-2966 JF Monthly Notices of the Royal Astronomical Society VO 518 IS 1 SP 111 OP 129 LK http://dx.doi.org/https://doi.org/10.1093/mnras/stac3009 DO https://doi.org/10.1093/mnras/stac3009 SF ELIB - SuUB Bremen
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