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  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

Meshcheryakov, A. V., Borisov, V. D., Khorunzhev, G. A., Medvedev, P. A., Gilfanov, M. R., I.Belvedersky, M., et al. (2023). 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. Astronomy Letters-A Journal of Astronomy and Space Astrophysics, 49(7), 359-409. doi:10.1134/S1063773723070022.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-0EBE-E Version Permalink: https://hdl.handle.net/21.11116/0000-000E-0EBF-D
Genre: Journal Article

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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.pdf (Any fulltext), 11MB
 
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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.pdf
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Meshcheryakov, A. V., Author
Borisov, V. D., Author
Khorunzhev, G. A., Author
Medvedev, P. A., Author
Gilfanov, M. R.1, Author           
I.Belvedersky, M., Author
Sazonov, S. Yu., Author
Burenin, R. A., Author
Krivonos, R. A., Author
Bikmaev, I. F., Author
Khamitov, I. M., Author
Gerasimov, S. V., Author
Mashechkin, I. V., Author
Sunyaev, R. A.1, Author           
Affiliations:
1High Energy Astrophysics, MPI for Astrophysics, Max Planck Society, ou_159881              

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Language(s): eng - English
 Dates: 2023-11-25
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1134/S1063773723070022
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Title: Astronomy Letters-A Journal of Astronomy and Space Astrophysics
  Abbreviation : Astron. Lett.-J. Astron. Space Astrophys.
Source Genre: Journal
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Pages: - Volume / Issue: 49 (7) Sequence Number: - Start / End Page: 359 - 409 Identifier: ISSN: 1063-7737