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eNauka >  Rezultati >  Reconstruction of decays to merged photons using end-to-end deep learning with domain continuation in the CMS detector
Naziv: Reconstruction of decays to merged photons using end-to-end deep learning with domain continuation in the CMS detector
Autori Tumasyan, A; ...; Milosevic, Vojislav; ...; Adzic, Petar R ; Đorđević, Miloš  ; Milenovic, Predrag; Milosevic, Jovan; ...; (broj, koautora 2338)
Godina: 2023
Publikacija: PHYSICAL REVIEW D
ISSN: 2470-0010 Physical Review D Pretraži identifikator
Tip rezultata: Naučni članak
Kolacija: 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
Projekat: 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)
Izvor metapodataka: (Preuzeto iz Nasi u WoS)
M-kategorija: 
21aM21a - Vodeći međunarodni časopis kategorije M21a

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