Search for Dark Matter Produced in Association with a Higgs Boson Decaying to Bottom Quarks in Proton-Proton Collisions at √s=13 TeV
| 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.contributor.author | Wang, Z. | |
| dc.date.accessioned | 2026-08-11T06:18:01Z | |
| dc.date.available | 2026-08-11T06:18:01Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | A search for dark matter particles produced in association with a Higgs boson decaying to a bottom quark-antiquark pair in proton-proton collisions at root s = 13 TeV is presented. The data, collected with the CMS detector at the LHC, correspond to an integrated luminosity of 101 fb(-1). The analysis is performed in exclusive categories targeting both Lorentz-boosted (merged) and resolved b jet pair topologies, covering a wide range of Higgs boson transverse momentum. A statistical combination is made with a previous search using data collected in 2016 and corresponding to an integrated luminosity of 35.9 fb(-1). The observed data agree with the standard model background predictions. Constraints are placed on models predicting new particles or interactions, such as those in the simplified frameworks of baryonic-Z ' and 2HDMthorn a, where the latter is a type-II two-Higgs-doublet model featuring a heavy pseudoscalar with an additional light pseudoscalar. Upper limits at 95% confidence level are set on the production cross section for these models. For the baryonic-Z ' model, Z ' boson masses below 2.25 TeV are excluded for a dark matter particle candidate mass of 1 GeV. In the 2HDM thorn a model, heavy pseudoscalar masses between 850 and 1300 GeV are excluded for a light pseudoscalar mass of 350 GeV. | |
| dc.description.sponsorship | FWF (Austria); FNRS; FWO (Belgium); CNPq; CAPES; FAPERJ; FAPERGS; FAPESP (Brazil); BNSF (Bulgaria); MoST; NSFC (China); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); ERC PRG [TARISTU24-TK10, MoER TK202]; Academy of Finland; MEC; CEA; CNRS/IN2P3 (France); SRNSF (Georgia); DFG; HGF (Germany); NKFIH (Hungary); DAE; DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIT; NRF (Republic of Korea); MES (Latvia); MOE; UM (Malaysia); BUAP; CONACYT; UASLP-FAI (Mexico); PAEC (Pakistan); FCT (Portugal); MESTD (Serbia); PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); TUBITAK; NASU (Ukraine); NSF (USA); Marie-Curie program; European Research Council; Horizon 2020 Grant [675440, 724704, 752730, 758316, 765710, 824093, 101115353, 101002207, 101001205]; COST Action [CA16108]; Leventis Foundation; Alfred P. Sloan Foundation; Alexander von Humboldt Foundation; Science Committee [22rl-037]; Fonds pour la Formation `a la Recherche dans l'Industrie et dans l'Agriculture (FRIA); Fonds voor Wetenschappelijk Onderzoek [1228724N]; Beijing Municipal Science & Technology Commission [Z191100007219010]; Fundamental Research Funds for the Central Universities; Ministry of Science and Technology of China [2023YFA1605804]; Natural Science Foundation of China [12535004]; USTC Research Funds of the Double First-Class Initiative [YD2030002017]; Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; Shota Rustaveli National Science Foundation [FR-22-985]; Deutsche Forschungsgemeinschaft (DFG) [EXC 2121, 390833306, 400140256, GRK2497]; Hellenic Foundation for Research and Innovation (HFRI) [2288]; Hungarian Academy of Sciences; NKFIH [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, 2025-1.1.5NEMZ_KI-2025-00004]; Council of Science and Industrial Research, India; NextGenerationEU program (Italy); 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, 2023/49/B/ST2/03273, BPN/PPO/2021/1/00011]; European Union NextGenerationEU/PRTR; Fundacao para a Ciencia e a Tecnologia [CEECIND/01334/2018]; National Priorities Research Program by Qatar National Research Fund; ERDF/EU; Programa Severo Ochoa del Principado de Asturias (Spain); National Science, Research and Innovation Fund Program [IND_FF_68_369_2300_097]; Program Management Unit for Human Resources & Institutional Development, Research and Innovation [B39G680009]; Kavli Foundation; Nvidia Corporation; SuperMicro Corporation; Welch Foundation [C-1845]; Weston Havens Foundation (USA); SC (Armenia); BMBWF; MES; CAS; MINCIENCIAS (Colombia); MSES; HIP (Finland); BMFTR; GSRI (Greece); LMTLT (Lithuania); CINVESTAV; LNS; SEP; MOS (Montenegro); MBIE (New Zealand); NSC; NAWA (Poland); MST (Taipei); MICIU/AEI; MHESI (Thailand); TENMAK (Turkiye); STFC (United Kingdom); DOE; New National Excellence Program-UNKP; ICSC-National Research Center for High Performance Computing, Big Data and Quantum Computing, FAIR-Future Artificial Intelligence Research [CUP I53D23001070006]; Chulalongkorn Academic into Its 2nd Century Project Advancement Project | |
| 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 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, 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 No. 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 No. 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. 5NEMZ_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 2021/41/B/ST2/01369, 2021/43/B/ST2/01552, 2023/49/B/ST2/03273, and the NAWA Contract No. BPN/PPO/2021/1/00011 (Poland); the Fundacao para a Ciencia e a Tecnologia, Grant No. CEECIND/01334/2018 (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 Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, Contract No. C-1845; and the Weston Havens Foundation (USA). | |
| dc.identifier.doi | 10.1103/2m87-3dlr | |
| dc.identifier.issn | 2470-0010 | |
| dc.identifier.issn | 2470-0029 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.13091/14534 | |
| dc.identifier.uri | https://doi.org/10.1103/2m87-3dlr | |
| 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 Dark Matter Produced in Association with a Higgs Boson Decaying to Bottom Quarks 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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