Reconstruction of decays to merged photons using end-to-end deep learning with domain continuation in the CMS detector

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Title:	Reconstruction of decays to merged photons using end-to-end deep learning with domain continuation in the CMS detector
Authors :	Tumasyan, A; ...; Milosevic, Vojislav; ...; Adzic, Petar R ; Đorđević, Miloš ; Milenovic, Predrag; Milosevic, Jovan; ...; (broj, koautora 2338)
Issue Date:	2023
Publication:	PHYSICAL REVIEW D
ISSN:	2470-0010 Physical Review D Search Idenfier
Type:	Article
Collation:	vol. 108 br. 5
DOI:	10.1103/PhysRevD.108.052002
WoS-ID:	001091059400002
Scopus-ID:	2-s2.0-85175427508
URI:	https://enauka.gov.rs/handle/123456789/879404
Project:	Council of Science and Industrial Research, India [K 133046, K 138136, K 143460, K 143477, 2020-2.2.1-ED-2021-00181, TKP2021-NKTA-64] Latvian Council of Science Ministry of Education and Science [2022/WK/14] National Science Center Opus [2021/41/B/ST2/01369, 2021/43/B/ST2/01552, CEECIND/01334/2018] National Priorities Research Program by Qatar National Research Fund ERDF "a way of making Europe [MCIN/AEI/10.13039/501100011033] Programa Severo Ochoa del Principado de Asturias (Spain) [MDM-2017-0765] Chulalongkorn Academic into Its 2nd Century Project Advancement Project National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation [B05F650021] Kavli Foundation Nvidia Corporation SuperMicro Corporation Welch Foundation [C-1845] Weston Havens Foundation (USA)
Metadata source:	(Preuzeto iz Nasi u WoS)
M-category:	21aM21a

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