Journal
PHYSICAL REVIEW D
Volume 104, Issue 5, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.104.052001
Keywords
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Funding
- BMBWF (Austria)
- FWF (Austria)
- FNRS (Belgium)
- FWO (Belgium)
- CNPq (Brazil)
- CAPES (Brazil)
- FAPERJ (Brazil)
- FAPERGS (Brazil)
- FAPESP (Brazil)
- MES (Bulgaria)
- CERN (China)
- CAS (China)
- MoST (China)
- NSFC (China)
- COLCIENCIAS (Colombia)
- MSES (Croatia)
- CSF (Croatia)
- RIF (Cyprus)
- SENESCYT (Ecuador)
- MoER (Estonia)
- ERC PUT (Estonia)
- ERDF (Estonia)
- Academy of Finland (Finland)
- MEC (Finland)
- HIP (Finland)
- CEA (France)
- CNRS/IN2P3 (France)
- BMBF (Germany)
- DFG (Germany)
- HGF (Germany)
- GSRT (Greece)
- NKFIA (Hungary)
- DAE (India)
- DST (India)
- IPM (Iran)
- SFI (Ireland)
- INFN (Italy)
- MSIP (Republic of Korea)
- NRF (Republic of Korea)
- MES (Latvia)
- LAS (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)
- MSHE (Poland)
- NSC (Poland)
- FCT (Portugal)
- JINR (Dubna)
- MON (Russia)
- RosAtom (Russia)
- RAS (Russia)
- RFBR (Russia)
- NRC KI (Russia)
- MESTD (Serbia)
- SEIDI (Spain)
- CPAN (Spain)
- PCTI (Spain)
- FEDER (Spain)
- MOSTR (Sri Lanka)
- Swiss Funding Agencies (Switzerland)
- MST (Taipei)
- ThEPCenter (Thailand)
- NSTDA (Thailand)
- TUBITAK (Turkey)
- TAEK (Turkey)
- NASU (Ukraine)
- STFC (UnitedKingdom)
- DOE (USA)
- NSF (USA)
- Marie-Curie program
- European Research Council
- Horizon 2020 Grant (European Union) [675440, 724704, 752730, 765710]
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Belgian Federal Science Policy Office
- Fonds pour la Formation `a la Recherche dans l'Industrie et dans l'Agriculture (FRIABelgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- F. R. S.-FNRS (Belgium) [30820817]
- FWO (Belgium) [30820817]
- Beijing Municipal Science & Technology Commission [Z191100007219010]
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) [390833306, 400140256-GRK2497]
- Lendulet (Momentum) Program
- Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences
- New National Excellence Program UNKP
- NKFIA (Hungary) [123842, 123959, 124845, 124850, 125105, 128713, 128786, 129058]
- Council of Science and Industrial Research, India
- Ministry of Science and Higher Education
- National Science Center (Poland) [Opus 2014/15/B/ST2/03998, 2015/19/B/ST2/02861]
- National Priorities Research Program by Qatar National Research Fund
- Ministry of Science and Higher Education (Russia) [0723-2020-0041]
- Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu [MDM-2015-0509]
- Programa Severo Ochoa del Principado de Asturias
- EU-ESF
- Greek NSRF
- Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University
- Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand)
- Kavli Foundation
- Nvidia Corporation
- SuperMicro Corporation
- Welch Foundation [C-1845]
- Weston Havens Foundation (USA)
Ask authors/readers for more resources
The search for top squark production based on proton-proton collision events with the CMS detector at the CERN LHC has led to exclusion limits on the top squark and gluino masses for various production scenarios. Novel algorithms utilizing deep neural networks were employed, resulting in significant improvements over previous supersymmetry searches in the same final state.
A search for production of the supersymmetric partners of the top quark, top squarks, is presented. The search is based on proton-proton collision events containing multiple jets, no leptons, and large transverse momentum imbalance. The data were collected with the CMS detector at the CERN LHC at a center-of-mass energy of 13 TeV, and correspond to an integrated luminosity of 137 fb(-1). The targeted signal production scenarios are direct and gluino-mediated top squark production, including scenarios in which the top squark and neutralino masses are nearly degenerate. The search utilizes novel algorithms based on deep neural networks that identify hadronically decaying top quarks and W bosons, which are expected in many of the targeted signal models. No statistically significant excess of events is observed relative to the expectation from the standard model, and limits on the top squark production cross section are obtained in the context of simplified supersymmetric models for various production and decay modes. Exclusion limits as high as 1310 GeVare established at the 95% confidence level on the mass of the top squark for direct top squark production models, and as high as 2260 GeV on the mass of the gluino for gluino-mediated top squark production models. These results represent a significant improvement over the results of previous searches for supersymmetry by CMS in the same final state.
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