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Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network
| dc.creator | Chatrchyan, S. | |
| dc.creator | Adžić, Petar | |
| dc.creator | Đorđević, Miloš | |
| dc.creator | Ekmedžić, Marko | |
| dc.creator | Krpić, D. | |
| dc.creator | Milošević, Jovan | |
| dc.creator | Milenović, Predrag | |
| dc.creator | Reković, Vladimir | |
| dc.date.accessioned | 2018-03-01T23:16:35Z | |
| dc.date.available | 2018-03-01T23:16:35Z | |
| dc.date.issued | 2013 | |
| dc.identifier.issn | 1550-7998 | |
| dc.identifier.issn | 1550-2368 | |
| dc.identifier.uri | https://vinar.vin.bg.ac.rs/handle/123456789/5392 | |
| dc.description.abstract | In this paper, a search for supersymmetry (SUSY) is presented in events with two opposite-sign isolated leptons in the final state, accompanied by hadronic jets and missing transverse energy. An artificial neural network is employed to discriminate possible SUSY signals from a standard model background. The analysis uses a data sample collected with the CMS detector during the 2011 LHC run, corresponding to an integrated luminosity of 4: 98 fb(-1) of proton-proton collisions at the center-of-mass energy of 7 TeV. Compared to other CMS analyses, this one uses relaxed criteria on missing transverse energy (E-T GT 40 GeV) and total hadronic transverse energy (HT GT 120 GeV), thus probing different regions of parameter space. Agreement is found between standard model expectation and observations, yielding limits in the context of the constrained minimal supersymmetric standard model and on a set of simplified models. DOI: 10.1103/PhysRevD.87.072001 | en |
| dc.relation | Austrian Federal Ministry of Science and Research, Belgian Fonds de la Recherche Scientifique, Fonds voor Wetenschappelijk Onderzoek, CNPq, CAPES, FAPERJ, FAPESP, Bulgarian Ministry of Education, Youth and Science, CERN, Chinese Academy of Sciences, Ministry of Science and Technology, National Natural Science Foundation of China, Colombian Funding Agency (COLCIENCIAS), Croatian Ministry of Science, Education and Sport, Research Promotion Foundation, Cyprus, Ministry of Education and Research [SF0690030s09], European Regional Development Fund, Estonia, Academy of Finland, Academy of Finland, Finnish Ministry of Education and Culture, Helsinki Institute of Physics, Institut National de Physique Nucleaire et de Physique des Particules/CNRS, Commissariat a lEnergie Atomique et aux Energies Alternatives/CEA, France, Bundesministerium fur Bildung und Forschung, Deutsche Forschungsgemeinschaft, Helmholtz-Gemeinschaft Deutscher Forschungszentren, Germany, General Secretariat for Research and Technology, Greece, National Scientific Research Foundation, National Office for Research and Technology, Hungary, Department of Atomic Energy, Department of Science and Technology, India, Institute for Studies in Theoretical Physics and Mathematics, Iran, Science Foundation, Ireland, Istituto Nazionale di Fisica Nucleare, Italy, Korean Ministry of Education, Science and Technology, World Class University program of NRF, Republic of Korea, Lithuanian Academy of Sciences, CINVESTAV, CONACYT, SEP, UASLP-FAI, Ministry of Science and Innovation, New Zealand, Pakistan Atomic Energy Commission, Ministry of Science and Higher Education, National Science Centre, Poland, Fundacao para a Ciencia e a Tecnologia, Portugal, JINR (Armenia, Belarus, Georgia, Ukraine, Uzbekistan), Ministry of Education and Science of the Russian Federation, Federal Agency of Atomic Energy of the Russian Federation, Russian Academy of Sciences, Russian Foundation for Basic Research, Ministry of Science and Technological Development of Serbia, Secretaria de Estado de Investigacion, Desarrollo e Innovacion and Programa Consolider-Ingenio, Spain, ETH Board, ETH Zurich, PSI, SNF, UniZH, Canton Zurich, SER, National Science Council, Taipei, Thailand Center of Excellence in Physics, Institute for the Promotion of Teaching Science and Technology of Thailand, National Science and Technology Development Agency of Thailand, Scientific and Technical Research Council of Turkey, Turkish Atomic Energy Authority, Science and Technology Facilities Council, UK, U.S. Department of Energy, U.S. National Science Foundation, Marie-Curie program, European Research Council (European Union), Leventis Foundation, A.P. Sloan Foundation, Alexander von Humboldt Foundation, Belgian Federal Science Policy Office, Fonds pour la Formation a la Recherche dans lIndustrie et dans lAgriculture (FRIA-Belgium), Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium), Ministry of Education, Youth and Sports (MEYS) of Czech Republic, Council of Science and Industrial Research, India, Compagnia di San Paolo (Torino), HOMING PLUS program of Foundation for Polish Science, European Union | |
| dc.rights | openAccess | en |
| dc.source | Physical Review D | en |
| dc.title | Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network | en |
| dc.type | article | en |
| dcterms.abstract | Екмедзиц, М.; Миленовић Предраг; Цхатрцхyан, С.; Aдзиц, П.; Крпиц, Д.; Рековиц, В.; Милошевић Јован; Ђорђевић Милош; | |
| dc.citation.volume | 87 | |
| dc.citation.issue | 7 | |
| dc.identifier.wos | 000316954200001 | |
| dc.identifier.doi | 10.1103/PhysRevD.87.072001 | |
| dc.citation.other | Article Number: 072001 | |
| dc.citation.rank | M21 | |
| dc.contributor.count | CMS Collaboration (ukupan broj autora: 2190) | |
| dc.identifier.scopus | 2-s2.0-84876194276 | |
| dc.identifier.fulltext | https://vinar.vin.bg.ac.rs//bitstream/id/13352/5388.pdf |
