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| 題名: | Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network |
| 作者: | 林宗泰;Apresyan, Artur;Bagliesi, Giuseppe;Velkovska, Julia;Varelas, Nikos;Innocente, Vincenzo;Hadjiiska, Roumyana;Gascon, Susan;Geiser, Achim;Spalding, William J;Markina, Anastasia;Chang, Yuan-Hann;Shukla, Prashant;Colaleo, Anna;Piotrzkowski, Krzysztof;Steinbrück, Georg;Avetisyan, Aram;Elliott-Peisert, Anna;Farrell, Chris;Pant, Lalit Mohan;Tricomi, Alessia;Martinez, German;Cockerill, David JA;Nappi, Aniello;Ferencek, Dinko;Haas, Jeff;Christopher, Grant;Tosi, Nicolò;Ekmedzic, Marko;Lu, Ying;Hollingsworth, Matthew;Brooke, James John;Thomsen, Jan;Mott, Alexander;Mohanty, Ajit Kumar;Spiropulu, Maria;De Moraes Gregores, Eduardo;Malcles, Julie;Jain, Shilpi;Luyckx, Sten;Danielson, Thomas;Fabbri, Fabrizio;Berry, Edmund;Chwalek, Thorsten;Dupont-Sagorin, Niels;Paktinat Mehdiabadi, Saeid;Szillasi, Zoltan;Bauer, Gerry;Hatakeyama, Kenichi;Kazana, Malgorzata;Dumanoglu, Isa;Frueboes, Tomasz;Segoni, Ilaria;Bachtis, Michail;Costa, Salvatore;Letts, James;Kim, Tae Jeong;Saka, Halil;Piparo, Danilo;Van Mechelen, Pierre;Vanini, Sara;Fulcher, Jonathan;West, Christopher;Gomez, Gervasio;Gninenko, Sergei;Dinardo, Mauro Emanuele;Ptochos, Fotios;Timciuc, Vladlen;Wilken, Rachel;Ford, William T;Kovalskyi, Dmytro;Damgov, Jordan;Boimska, Bozena;Chao, Yuan;Beri, Suman Bala;Cankocak, Kerem;Van Remortel, Nick;Rodozov, Mircho;Halkiadakis, Eva;Navarria, Francesco;Girgis, Semiray;Bellan, Riccardo;Kim, Gui Nyun;Sanders, Stephen;Chang, Sunghyun;Brochet, Sébastien;Kalavase, Puneeth;De La Cruz, Begona;Laasanen, Alvin T;Goldstein, Joel;Naumann-Emme, Sebastian;Vavilov, Sergey;Dugad, Shashikant;Snow, Gregory R;Gilbert, Andrew;de Trocóniz, Jorge F;Kayis Topaksu, Aysel;Zhokin, Alexander;Mccartin, Joseph;Kreuzer, Peter;Sigamani, Michael |
| 貢獻者: | 理學院物理學系 |
| 關鍵詞: | Experiment;High Energy Physics - Experiment;Particle Physics;Physics |
| 日期: | 2013-04-02 |
| 上傳時間: | 2026-04-23 13:56:37 (UTC+8) |
| 出版者: | United States: American Physical Society |
| 摘要: | 摘要： 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 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 inverse femtobarns 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 (missing ET > 40 GeV) and total hadronic transverse energy (HT > 120 GeV), thus probing different regions of parameter space. Agreement is found between standard model expectation and observation, yielding limits in the context of the constrained mininal supersymmetric standard model and on a set of simplified models. 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 (E̸T>40 GeV) and total hadronic transverse energy (HT>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. 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 inverse femtobarns 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 (missing ET > 40 GeV) and total hadronic transverse energy (HT > 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 mininal supersymmetric standard model and on a set of simplified models.
出版者： United States: American Physical Society
出版日期： 2013-04-02
出處： Physical review. D, 2013-04, Vol.87 (7), Article 072001
版權： CC0 1.0 - Universal
識別號： ISSN: 1550-7998
識別號： ISSN: 2470-0010
識別號： ISSN: 1550-2368
識別號： EISSN: 1550-2368
識別號： EISSN: 2470-0029
識別號： DOI: 10.1103/PhysRevD.87.072001 |
| 顯示於類別: | [物理學系] 期刊論文
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