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Predicting the black hole mass and correlations in X-ray re..:
Chainakun, P
;
Fongkaew, I
;
Hancock, S
.
Monthly Notices of the Royal Astronomical Society. 513 (2022) 1 - p. 648-660 , 2022
Link:
https://doi.org/10.1093/mnras/stac924
RT Journal T1 <Title>Predicting the black hole mass and correlations in X-ray reverberating AGNs using neural networks</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_mnras_stac924&Exemplar=1&LAN=DE A1 Chainakun, P A1 Fongkaew, I A1 Hancock, S A1 Young, A J PB Oxford University Press (OUP) YR 2022 SN 0035-8711 SN 1365-2966 JF Monthly Notices of the Royal Astronomical Society VO 513 IS 1 SP 648 OP 660 LK http://dx.doi.org/https://doi.org/10.1093/mnras/stac924 DO https://doi.org/10.1093/mnras/stac924 SF ELIB - SuUB Bremen
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