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We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid and other centers for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC, the CMS detector, and the supporting computing infrastructure provided by the following funding agencies: SC (Armenia), BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES and BNSF (Bulgaria); CERN; CAS, MoST, and NSFC (China); MINCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); ERC PRG, RVTT3 and MoER TK202 (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); SRNSF (Georgia); BMBF, DFG, and HGF (Germany); GSRI (Greece); NKFIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LMTLT (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MES and NSC (Poland); FCT (Portugal); MESTD (Serbia); MCIN/AEI and PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); MHESI and NSTDA (Thailand); TUBITAK and TENMAK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (U.S.A.). Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 101115353, 101002207, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Science Committee, project no. 22rl-037 (Armenia); the Belgian Federal Science Policy Office; the Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the "Excellence of Science -EOS" -be.h project n. 30820817; the Be.ing Municipal Science & Technology Commission, No. Z191100007219010 and Fundamental Research Funds for the Central Universities (China); the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Shota Rustaveli National Science Foundation, grant FR-22-985 (Georgia); the Deutsche Forschungsgemeinschaft (DFG), among others, under Germany's Excellence Strategy -EXC 2121 "Quantum Universe" -390833306, and under project number 400140256 -GRK2497; the Hellenic Foundation for Research and Innovation (HFRI), Project Number 2288 (Greece); the Hungarian Academy of Sciences, the New National Excellence Program -UNKP, the NKFIH research grants K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64 (Hungary); the Council of Science and Industrial Research, India; ICSC-National Research Center for High Performance Computing, Big Data and Quantum Computing and FAIR -Future Artificial Intelligence Research, funded by the NextGenerationEU program (Italy); the Latvian Council of Science; the Ministry of Education and Science, project no. 2022/WK/14, and the National Science Center, contracts Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552 (Poland); the Fundacao para a Ciencia e a Tecnologia, grant CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; MCIN/AEI/10.13039/501100011033, ERDF "a way of making Europe", and the Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu, grant MDM-2017-0765 and Programa Severo Ochoa del Principado de Asturias (Spain); the Chulalongkorn Academic into Its 2nd Century Project Advancement Project, and the National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, grant B39G670016 (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (U.S.A.).

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Performance of the CMS high-level trigger during LHC Run 2

Publicado en:Journal Of Instrumentation. 19 (11): P11021- - 2024-11-01 19(11), DOI: 10.1088/1748-0221/19/11/P11021

Autores: Hayrapetyan, A; Tumasyan, A; Adam, W; Andrejkovic, J W; Benato, L; Bergauer, T; Chatterjee, S; Damanakis, K; Dragicevic, M; Hussain, P S; Jeitler, M; Krammer, N; Li, A; Liko, D; Mikulec, I; Schieck, J; Schoefbeck, R; Schwarz, D; Sonawane, M; Waltenberger, W; Wulz, C -E; Janssen, T; Van Laer, T; Van Mechelen, P; Breugelmans, N; D'Hondt, J; Dansana, S; De Moor, A; Delcourt, M; Heyen, F; Lowette, S; Makarenko, I; Mueller, D; Tavernier, S; Tytgat, M; Van Onsem, G P; Van Putte, S; Vannerom, D; Beghin, D; Bilin, B; Brun, H; Clerbaux, B; Das, A K; De Bruyn, I; De Lentdecker, G; Evard, H; Favart, L; Gianneios, P; Jaramillo, J; Khalilzadeh, A; Khan, F A; Lee, K; Malara, A; Paredes, S; Shahzad, M A; Thomas, L; Vanden Bemden, M; Vander Velde, C; Vanlaer, P; Cornelis, T; De Coen, M; Dobur, D; Gokbulut, G; Hong, Y; Knolle, J; Lambrecht, L; Marckx, D; Amarilo, K Mota; Skovpen, K; Van Den Bossche, N; van der Linden, J; Wezenbeek, L; Benecke, A; Bethani, A; Bruno, G; Caputo, C; De Jeneret, J De Favereau; Delaere, C; Donertas, I S; Giammanco, A; Guzel, A O; Jain, Sa; Lemaitre, V; Lidrych, J; Mastrapasqua, P; Tran, T T; Turkcapar, S; Alves, G A; Coelho, E; Silva, G Correia; Hensel, C; De Oliveira, T Menezes; Herrera, C Mora; Teles, P Rebello; Soeiro, M; Manganote, E J Tonelli; Pereira, A Vilela; Alda Junior, W L; Ferreira Filho, M Barroso; Malbouisson, H Brandao; Carvalho, W; Chinellato, J; Da Costa, E M; Da Silveira, G G; De Jesus Damiao, D; De Souza, S Fonseca; De Souza, R Gomes; Kuhn, T Laux; Macedo, M; Martins, J; Mundim, L; Nogima, H; Pinheiro, J P; Santoro, A; Sznajder, A; Thiel, M; Bernardes, C A; Calligaris, L; Perez Tomei, T R Fernandez; Gregores, E M; Silverio, I Maietto; Mercadante, P G; Novaes, S F; Orzari, B; Padula, Sandra S; Aleksandrov, A; Antchev, G; Hadjiiska, R; Iaydjiev, P; Misheva, M; Shopova, M; Sultanov, G; Dimitrov, A; Litov, L; Pavlov, B; Petkov, P; Petrov, A; Shumka, E; Keshri, S; Laroze, D; Thakur, S; Cheng, T; Javaid, T; Yuan, L; Hu, Z; Liang, Z; Liu, J; Chen, G M; 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Resumen

The CERN LHC provided proton and heavy ion collisions during its Run 2 operation period from 2015 to 2018. Proton-proton collisions reached a peak instantaneous luminosity of 2.1 x 10(34) cm(-2)s(-1), twice the initial design value, at root s = 13 TeV. The CMS experiment records a subset of the collisions for further processing as part of its online selection of data for physics analyses, using a two-level trigger system: the Level-1 trigger, implemented in custom-designed electronics, and the high-level trigger, a streamlined version of the offline reconstruction software running on a large computer farm. This paper presents the performance of the CMS high-level trigger system during LHC Run 2 for physics objects, such as leptons, jets, and missing transverse momentum, which meet the broad needs of the CMS physics program and the challenge of the evolving LHC and detector conditions. Sophisticated algorithms that were originally used in offline reconstruction were deployed online. Highlights include a machine-learning b tagging algorithm and a reconstruction algorithm for tau leptons that decay hadronically.

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