Search for new heavy resonances decaying to WW, WZ, ZZ, WH, or ZH boson pairs in the all-jets final state in proton-proton collisions at √s=13 TeV
A search for new heavy resonances decaying to WW, WZ, ZZ, WH, or ZH boson pairs in the all-jets final state is presented. The analysis is based on proton-proton collision data recorded by the CMS detector in 2016-2018 at a centre-of-mass energy of 13 TeV at the CERN LHC, corresponding to an integrated luminosity of 138 fb-1. The search is sensitive to resonances with masses between 1.3 and 6 TeV, decaying to bosons that are highly Lorentz-boosted such that each of the bosons forms a single large-radius jet. Machine learning techniques are employed to identify such jets. No significant excess over the estimated standard model background is observed. A maximum local significance of 3.6 standard deviations, corresponding to a global significance of 2.3 standard deviations, is observed at masses of 2.1 and 2.9 TeV. In a heavy vector triplet model, spin-1 Z' and W' resonances with masses below 4.8 TeV are excluded at the 95% confidence level (CL). These limits are the most stringent to date. In a bulk graviton model, spin-2 gravitons and spin-0 radions with masses below 1.4 and 2.7 TeV, respectively, are excluded at 95% CL. Production of heavy resonances through vector boson fusion is constrained with upper cross section limits at 95% CL as low as 0.1 fb.& COPY; 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons .org /licenses /by /4 .0/). Funded by SCOAP3.
WOS:001053536800001
2023-07-21
844
137813
REVIEWED
Funder | Grant Number |
FWF | |
FRS-FNRS | |
FWO (Belgium) | |
CNPq | |
CAPES | |
FAPERJ | |
FAPERGS | |
FAPESP (Brazil) | |
BNSF (Bulgaria) | |
CERN (Switzerland) | |
CAS, MOST | |
NSFC (China) | |
CSF (Croatia) | |
RIF (Cyprus) | |
SENESCYT (Ecuador) | |
MoER | |
ERDF (Estonia) | |
Academy of Finland | |
MEC | |
CEA | |
CNRS/IN2P3 (France) | |
BMBF | |
HGF (Germany) | |
NKFIH (Hungary) | |
DAE | |
DST | |
SFI (Ireland) | |
INFN (Italy) | |
NRF (Republic of Korea) | |
MES (Latvia) | |
MOE | |
UM (Malaysia) | |
BUAP, CINVES-TAV | |
CONACYT | |
UASLP-FAI (Mexico) | |
MBIE (New Zealand) | |
PAEC (Pakistan) | |
FCT (Portugal) | |
JINR | |
RosAtom | |
RFBR | |
MESTD (Serbia) | |
FEDER (ERDF) | |
PCTI (Spain) | |
SNF | |
UniZH | |
SER (Switzerland) | |
NSTDA | |
TUBITAK | |
DOE | |
NSF (USA) | |
Marie-Curie pro-gram and the European Research Council | |
Horizon 2020 Grant | 675440 |
COST Action | CA16108 |
Lev-entis Foundation | |
Alfred P. Sloan Foundation | |
Alexander von Humboldt Foundation | |
Fonds pour la Formation la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium) | |
Agentschap voor Inno-vatie door Wetenschap en Technologie (IWT-Belgium) | |
FWO (Belgium) under the "Excellence of Science EOS | 30820817 |
Beijing Municipal Science amp; Technology Commission | Z191100007219010 |
Ministry of Education, Youth and Sports (MEYS) of the Czech Republic | |
Deutsche Forschungsgemeinschaft (DFG) | EXC 2121 |
Hellenic Foundation for Research and Innovation (HFRI) | 2288 |
Hungarian Academy of Sciences | 124845 |
Council of Science and Industrial Research, India | |
Latvian Council of Science | 2022/WK/14 |
National Science Center | Opus 2021/41/B/ST2/01369 |
Qatar National Research Fund | |
Ministry of Science and Higher Education | 0723-2020-0041 |
Programa Severo Ochoa del Principado de Asturias (Spain) | |
Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University | |
Kavli Foundation | |
Nvidia Corporation | |
Welch Foundation | C-1845 |
Weston Havens Foundation (USA) | |