SRGz: Machine Learning Methods and Properties of the Catalog of SRG/eROSITA Point X-ray Source Optical Counterparts in the DESI Legacy Imaging Surveys Footprint.

Autor:	Meshcheryakov, A. V.1,2 (AUTHOR) mesch@cosmos.ru, Borisov, V. D.1,2 (AUTHOR), Khorunzhev, G. A.1 (AUTHOR), Medvedev, P. A.1 (AUTHOR), Gilfanov, M. R.1,3 (AUTHOR), Belvedersky, M. I.1 (AUTHOR), Sazonov, S. Yu.1 (AUTHOR), Burenin, R. A.1 (AUTHOR), Krivonos, R. A.1 (AUTHOR), Bikmaev, I. F.4 (AUTHOR), Khamitov, I. M.4 (AUTHOR), Gerasimov, S. V.2 (AUTHOR), Mashechkin, I. V.2 (AUTHOR), Sunyaev, R. A.1,3 (AUTHOR)
Zdroj:	Astronomy Letters. Jul2023, Vol. 49 Issue 7, p359-409. 51p.
Databáze:	Academic Search Ultimate
Externí odkaz:	Zobrazit plný text záznamu