Search for Pair Production of Heavy Resonances in Final States with a Photon and Large-Radius Jets in Proton-Proton Collisions at √s=13 TeV
| dc.contributor.author | Voytishin, | |
| dc.contributor.author | Hayrapetyan, A. | |
| dc.contributor.author | Andrejkovic, J. W. | |
| dc.contributor.author | Benato, L. | |
| dc.contributor.author | Makarenko, V. | |
| dc.contributor.author | Tumasyan, A. | |
| dc.contributor.author | Adam, W. | |
| dc.date.accessioned | 2026-08-11T06:18:27Z | |
| dc.date.available | 2026-08-11T06:18:27Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | A search for the pair production of heavy spin-1/2 or spin-3/2 resonances (t*) in proton-proton collisions at root s = 13 TeV is presented. Data collected with the CMS detector at the CERN LHC from 2016 to 2018 corresponding to an integrated luminosity of 138 fb(-1) are used. The analysis targets benchmark signal scenarios where one t* decays into a top quark (t) and a photon (gamma), and the other into a t quark and a gluon (g), i.e., pp -> t*(t*) over bar -> tt gamma g. All-hadronic final states from the t pair decay chain are selected using jet substructure techniques. The signal is probed as a function of the t* candidate mass, which is reconstructed using the photon and a top quark candidate jet. No significant deviation from the background-only hypothesis is found. Observed (expected) upper limits on the signal cross section at 95% confidence level are set, excluding masses of spin-1/2 t* particles below 930 (930) GeV and spin-3/2 t* particles below 1330 (1390) GeV. This analysis marks the first search for heavy resonances in the t (t) over bar gamma g channel. Exploiting the high-energy photon to reduce the backgrounds, this search achieves sensitivity competitive with p -> t*(t*) over bar -> t (t) over bar gg searches for spin-1/2 t* despite the small expected t* -> t gamma branching fraction. | |
| dc.description.sponsorship | SC (Armenia); BMBWF (Austria); FWF (Austria); FNRS (Belgium); FWO (Belgium); CNPq (Brazil); CAPES (Brazil); FAPERJ (Brazil); FAPERGS (Brazil); FAPESP (Brazil); MES (Bulgaria); BNSF (Bulgaria); CERN; CAS (China); MoST (China); NSFC (China); MINCIENCIAS (Colombia); MSES (Croatia); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); ERC PRG and PSG (Estonia); TARISTU24-TK10 (Estonia); MoER TK202 (Estonia); Academy of Finland (Finland); MEC (Finland); HIP (Finland); CEA (France); CNRS/IN2P3 (France); SRNSF (Georgia); BMFTR (Germany); DFG (Germany); HGF (Germany); GSRI (Greece); NKFIH (Hungary); DAE (India); DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIT (Republic of Korea); NRF (Republic of Korea); MES (Latvia); LMTLT (Lithuania); MOE (Malaysia); UM (Malaysia); BUAP (Mexico); CINVESTAV (Mexico); CONACYT (Mexico); LNS (Mexico); SEP (Mexico); UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MES (Poland); NSC (Poland); NAWA (Poland); FCT (Portugal); MESTD (Serbia); MICIU/AEI (Spain); PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); MHESI (Thailand); TUBITAK (Turkiye); TENMAK (Turkiye); NASU (Ukraine); STFC (United Kingdom); DOE (USA); NSF (USA); Marie-Curie program (European Union); European Research Council (European Union); Horizon 2020 (European Union) [675440, 724704, 752730, 758316, 765710, 824093, 101115353, 101002207, 101001205]; COST Action (European Union) [CA16108]; Leventis Foundation; Alfred P. Sloan Foundation; Alexander von Humboldt Foundation; Science Committee (Armenia) [22rl-037]; Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA) (Belgium); Fonds voor Wetenschappelijk Onderzoek (Belgium) [1228724N]; Beijing Municipal Science AMP; Technology Commission (China) [Z191100007219010]; Fundamental Research Funds for the Central Universities (China); Ministry of Science and Technology of China (China) [2023YFA1605804]; Natural Science Foundation of China (China) [12535004]; USTC Research Funds of the Double First-Class Initiative (China) [YD2030002017]; Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; Shota Rustaveli National Science Foundation (Georgia) [FR-22-985]; Deutsche Forschungsgemeinschaft (DFG) under Germany's Excellence Strategy [EXC 2121, 390833306, 400140256-GRK2497]; Hellenic Foundation for Research and Innovation (HFRI) (Greece) [2288]; Hungarian Academy of Sciences (Hungary); New National Excellence Program-UNKP (Hungary); NKFIH (Hungary) [K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1-ED-2021-00181, TKP2021-NKTA-64, 2025-1.1.5-NEMZ_KI-2025-00004]; Council of Science and Industrial Research, India; ICSC-National Research Center for High Performance Computing, Big Data and Quantum Computing - NextGenerationEU program (Italy); FAIR-Future Artificial Intelligence Research - NextGenerationEU program (Italy); NextGenerationEU program (Italy) [CUP I53D23001070006]; Latvian Council of Science; Ministry of Education and Science (Poland) [2022/WK/14]; National Science Center (Poland) [2021/41/B/ST2/01369, 2021/43/B/ST2/01552, 2023/49/B/ST2/03273]; NAWA (Poland) [BPN/PPO/2021/1/00011]; Fundacao para a Ciencia e a Tecnologia (Portugal); National Priorities Research Program by Qatar National Research Fund; ERDF/EU (Spain); European Union NextGenerationEU/PRTR (Spain); Programa Severo Ochoa del Principado de Asturias (Spain); Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); National Science, Research and Innovation Fund Program (Thailand) [IND_FF_68_369_2300_097]; Program Management Unit for Human Resources AMP; Institutional Development, Research and Innovation (Thailand) [B39G680009]; Eric AMP; Wendy Schmidt Fund for Strategic Innovation through the CERN Next Generation Triggers project [SIF-2023-004]; Kavli Foundation; Nvidia Corporation; SuperMicro Corporation; Welch Foundation [C-1845]; Weston Havens Foundation (USA) | |
| dc.description.sponsorship | We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staff 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 and PSG, TARISTU24-TK10 and MoER TK202 (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); SRNSF (Georgia); BMFTR, DFG, and HGF (Germany); GSRI (Greece); NKFIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIT 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, NSC, and NAWA (Poland); FCT (Portugal); MESTD (Serbia); MICIU/AEI and PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); MHESI (Thailand); TUBITAK and TENMAK (Turkiye); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (USA). Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, Contracts No. 675440, No. 724704, No. 752730, No. 758316, No. 765710, No. 824093, No. 101115353, No. 101002207, No. 101001205, 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 Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA) and Fonds voor Wetenschappelijk Onderzoek Contract No. 1228724N (Belgium); the Beijing Municipal Science & Technology Commission, No. Z191100007219010, the Fundamental Research Funds for the Central Universities, the Ministry of Science and Technology of China under Grant No. 2023YFA1605804, the Natural Science Foundation of China under Grant No. 12535004, and USTC Research Funds of the Double First-Class Initiative No. YD2030002017 (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 No. 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 No. K 131991, No. K 133046, No. K 138136, No. K 143460, No. K 143477, No. K 146913, No. K 146914, No. K 147048, No. 2020-2.2.1-ED-2021-00181, No. TKP2021-NKTA-64, and No. 2025-1.1.r 5-NEMZ_KI-2025-00004 (Hungary); the Council of Science and Industrial Research, India; ICSC-National Research Center for High Performance Computing, Big Data and Quantum Computing, FAIR-Future Artificial Intelligence Research, and CUP I53D23001070006 (Mission 4 Component 1), 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 No. 2021/41/B/ST2/01369, No. 2021/43/B/ST2/01552, No. 2023/49/B/ST2/03273, and the NAWA Contract No. BPN/PPO/2021/1/00011 (Poland); the Fundacao para a Ciencia e a Tecnologia (Portugal); the National Priorities Research Program by Qatar National Research Fund; MICIU/AEI/10.13039/501100011033, ERDF/EU, European Union NextGenerationEU/PRTR, and Programa Severo Ochoa del Principado de Asturias (Spain); the Chulalongkorn Academic into Its 2nd Century Project Advancement Project, the National Science, Research and Innovation Fund Program No. IND_FF_68_369_2300_097, and the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, Grant No. B39G680009 (Thailand); the Eric & Wendy Schmidt Fund for Strategic Innovation through the CERN Next Generation Triggers project under Grant Agreement No. SIF-2023-004; the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, Contract No. C-1845; and the Weston Havens Foundation (USA). | |
| dc.identifier.doi | 10.1103/bwqs-vgqn | |
| dc.identifier.issn | 2470-0010 | |
| dc.identifier.issn | 2470-0029 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.13091/14541 | |
| dc.identifier.uri | https://doi.org/10.1103/bwqs-vgqn | |
| dc.language.iso | en | |
| dc.publisher | Amer Physical Soc | |
| dc.relation.ispartof | Physical Review D | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.title | Search for Pair Production of Heavy Resonances in Final States with a Photon and Large-Radius Jets in Proton-Proton Collisions at √s=13 TeV | |
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| gdc.author.id | Sun, Xiaohu/0000-0003-4409-4574 | |
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