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Applying unsupervised learning to resolve evolutionary hist..:
Fraser, T S
;
Tojeiro, R
;
Chittenden, H G
Monthly Notices of the Royal Astronomical Society. 522 (2023) 4 - p. 5758-5774 , 2023
Link:
https://doi.org/10.1093/mnras/stad015
RT Journal T1 <Title>Applying unsupervised learning to resolve evolutionary histories and explore the galaxy--halo connection in IllustrisTNG</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_mnras_stad015&Exemplar=1&LAN=DE A1 Fraser, T S A1 Tojeiro, R A1 Chittenden, H G PB Oxford University Press (OUP) YR 2023 SN 0035-8711 SN 1365-2966 JF Monthly Notices of the Royal Astronomical Society VO 522 IS 4 SP 5758 OP 5774 LK http://dx.doi.org/https://doi.org/10.1093/mnras/stad015 DO https://doi.org/10.1093/mnras/stad015 SF ELIB - SuUB Bremen
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