Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network
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 backgro...
| Principais autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Outros Autores: | |
| Formato: | Artigo |
| Idioma: | en_US |
| Publicado em: |
American Physical Society
2013
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| Acesso em linha: | http://hdl.handle.net/1721.1/82520 https://orcid.org/0000-0002-3831-9071 https://orcid.org/0000-0003-3106-4894 https://orcid.org/0000-0001-6332-5839 https://orcid.org/0000-0001-8983-2169 https://orcid.org/0000-0002-1260-777X https://orcid.org/0000-0002-9418-6656 https://orcid.org/0000-0002-6047-4211 https://orcid.org/0000-0003-3681-0649 https://orcid.org/0000-0002-0869-5631 https://orcid.org/0000-0002-1136-6900 |
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| author | Apyan, Aram Bendavid, Joshua L. Busza, Wit Butz, Erik M. Cali, Ivan Amos Chan, M. Dutta, Valentina Gomez-Ceballos, Guillelmo Goncharov, Maxim Kim, Y. Klute, Markus Krajczar, Krisztian F. Levin, Andrew Michael Nahn, Steven Paus, Christoph M. E. Ralph, Duncan Kelley Rudolph, Matthew Scott Stephans, George S. F. Velicanu, Dragos Alexandru Wenger, Edward Allen Wyslouch, Boleslaw Yoon, A. S. Zanetti, Marco Bauer, Gerry P Ma, Teng Roland, Christof E Stoeckli, Fabian Sung, Kevin Kai Hong Yilmaz, Yetkin Luckey Jr, P David Roland, Gunther M Sumorok, Konstanty C Wolf, Roger Yang, Mingming Wyslouch, Victoria |
| author2 | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering Apyan, Aram Bendavid, Joshua L. Busza, Wit Butz, Erik M. Cali, Ivan Amos Chan, M. Dutta, Valentina Gomez-Ceballos, Guillelmo Goncharov, Maxim Kim, Y. Klute, Markus Krajczar, Krisztian F. Levin, Andrew Michael Nahn, Steven Paus, Christoph M. E. Ralph, Duncan Kelley Rudolph, Matthew Scott Stephans, George S. F. Velicanu, Dragos Alexandru Wenger, Edward Allen Wyslouch, Boleslaw Yoon, A. S. Zanetti, Marco Bauer, Gerry P Ma, Teng Roland, Christof E Stoeckli, Fabian Sung, Kevin Kai Hong Yilmaz, Yetkin Luckey Jr, P David Roland, Gunther M Sumorok, Konstanty C Wolf, Roger Yang, Mingming Wyslouch, Victoria |
| author_sort | Apyan, Aram |
| collection | MIT |
| description | 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[superscript -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 (E̸[subscript T]>40 GeV) and total hadronic transverse energy (H[subscript T]>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. |
| first_indexed | 2024-09-23T14:49:01Z |
| format | Article |
| id | mit-1721.1/82520 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:49:01Z |
| publishDate | 2013 |
| publisher | American Physical Society |
| record_format | dspace |
| spelling | mit-1721.1/825202023-02-26T03:36:28Z Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network Apyan, Aram Bendavid, Joshua L. Busza, Wit Butz, Erik M. Cali, Ivan Amos Chan, M. Dutta, Valentina Gomez-Ceballos, Guillelmo Goncharov, Maxim Kim, Y. Klute, Markus Krajczar, Krisztian F. Levin, Andrew Michael Nahn, Steven Paus, Christoph M. E. Ralph, Duncan Kelley Rudolph, Matthew Scott Stephans, George S. F. Velicanu, Dragos Alexandru Wenger, Edward Allen Wyslouch, Boleslaw Yoon, A. S. Zanetti, Marco Bauer, Gerry P Ma, Teng Roland, Christof E Stoeckli, Fabian Sung, Kevin Kai Hong Yilmaz, Yetkin Luckey Jr, P David Roland, Gunther M Sumorok, Konstanty C Wolf, Roger Yang, Mingming Wyslouch, Victoria Massachusetts Institute of Technology. Department of Nuclear Science and Engineering Massachusetts Institute of Technology. Department of Physics Massachusetts Institute of Technology. School of Science Apyan, Aram Bauer, Gerry P. Bendavid, Joshua L. Busza, Wit Butz, Erik M. Cali, Ivan Amos Chan, M. Dutta, Valentina Gomez-Ceballos, Guillelmo Goncharov, Maxim Kim, Y. Klute, Markus Levin, Andrew Michael Luckey, P. David Krajczar, Krisztian F. Ma, T. Nahn, Steven Paus, Christoph M. E. Ralph, Duncan Kelley Roland, Christof E. Roland, Gunther M. Rudolph, Matthew Scott Stephans, George S. F. Stockli, F. Sumorok, Konstanty C. Sung, K. Velicanu, Dragos Alexandru Wenger, Edward Allen Wolf, R. Wyslouch, Boleslaw Yang, M. Yilmaz, Y. Yoon, A. S. Zanetti, Marco Zhukova, Victoria 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[superscript -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 (E̸[subscript T]>40 GeV) and total hadronic transverse energy (H[subscript T]>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. United States. Dept. of Energy National Science Foundation (U.S.) Alfred P. Sloan Foundation 2013-11-20T21:35:18Z 2013-11-20T21:35:18Z 2013-04 2013-01 Article http://purl.org/eprint/type/JournalArticle 1550-7998 1550-2368 http://hdl.handle.net/1721.1/82520 Chatrchyan, S., V. Khachatryan, A. M. Sirunyan, A. Tumasyan, W. Adam, E. Aguilo, T. Bergauer, et al. “Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network.” Physical Review D 87, no. 7 (April 2013). https://orcid.org/0000-0002-3831-9071 https://orcid.org/0000-0003-3106-4894 https://orcid.org/0000-0001-6332-5839 https://orcid.org/0000-0001-8983-2169 https://orcid.org/0000-0002-1260-777X https://orcid.org/0000-0002-9418-6656 https://orcid.org/0000-0002-6047-4211 https://orcid.org/0000-0003-3681-0649 https://orcid.org/0000-0002-0869-5631 https://orcid.org/0000-0002-1136-6900 en_US http://dx.doi.org/10.1103/PhysRevD.87.072001 Physical Review D Creative Commons Attribution 3.0 http://creativecommons.org/licenses/by/3.0/ application/pdf American Physical Society APS |
| spellingShingle | Apyan, Aram Bendavid, Joshua L. Busza, Wit Butz, Erik M. Cali, Ivan Amos Chan, M. Dutta, Valentina Gomez-Ceballos, Guillelmo Goncharov, Maxim Kim, Y. Klute, Markus Krajczar, Krisztian F. Levin, Andrew Michael Nahn, Steven Paus, Christoph M. E. Ralph, Duncan Kelley Rudolph, Matthew Scott Stephans, George S. F. Velicanu, Dragos Alexandru Wenger, Edward Allen Wyslouch, Boleslaw Yoon, A. S. Zanetti, Marco Bauer, Gerry P Ma, Teng Roland, Christof E Stoeckli, Fabian Sung, Kevin Kai Hong Yilmaz, Yetkin Luckey Jr, P David Roland, Gunther M Sumorok, Konstanty C Wolf, Roger Yang, Mingming Wyslouch, Victoria Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network |
| title | Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network |
| title_full | Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network |
| title_fullStr | Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network |
| title_full_unstemmed | Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network |
| title_short | Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network |
| title_sort | search for supersymmetry in events with opposite sign dileptons and missing transverse energy using an artificial neural network |
| url | http://hdl.handle.net/1721.1/82520 https://orcid.org/0000-0002-3831-9071 https://orcid.org/0000-0003-3106-4894 https://orcid.org/0000-0001-6332-5839 https://orcid.org/0000-0001-8983-2169 https://orcid.org/0000-0002-1260-777X https://orcid.org/0000-0002-9418-6656 https://orcid.org/0000-0002-6047-4211 https://orcid.org/0000-0003-3681-0649 https://orcid.org/0000-0002-0869-5631 https://orcid.org/0000-0002-1136-6900 |
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