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Search for supersymmetry in events with a single lepton and jets using a neural network
A search for supersymmetry in proton-proton collisions at $\sqrt{s} = 7$ TeV is presented, focusing on events with a single isolated lepton, energetic jets, and large missing transverse momentum. The analyzed data corresponds to a total integrated luminosity of 4.98 fb$^{-1}$ recorded by the CMS exp...
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| Publicado: |
2012
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| Acceso en línea: | http://cds.cern.ch/record/1443866 |
| _version_ | 1780924734954799104 |
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| author | CMS Collaboration |
| author_facet | CMS Collaboration |
| author_sort | CMS Collaboration |
| collection | CERN |
| description | A search for supersymmetry in proton-proton collisions at $\sqrt{s} = 7$ TeV is presented, focusing on events with a single isolated lepton, energetic jets, and large missing transverse momentum. The analyzed data corresponds to a total integrated luminosity of 4.98 fb$^{-1}$ recorded by the CMS experiment. The search uses an artificial neural network to suppress Standard Model backgrounds, and estimates residual backgrounds using a fully data-driven method. The analysis is performed in both the muon and electron channels, and the combined result is interpreted in terms of limits on the CMSSM parameter space. |
| id | cern-1443866 |
| institution | Organización Europea para la Investigación Nuclear |
| publishDate | 2012 |
| record_format | invenio |
| spelling | cern-14438662019-09-30T06:29:59Zhttp://cds.cern.ch/record/1443866CMS CollaborationSearch for supersymmetry in events with a single lepton and jets using a neural networkParticle Physics - ExperimentA search for supersymmetry in proton-proton collisions at $\sqrt{s} = 7$ TeV is presented, focusing on events with a single isolated lepton, energetic jets, and large missing transverse momentum. The analyzed data corresponds to a total integrated luminosity of 4.98 fb$^{-1}$ recorded by the CMS experiment. The search uses an artificial neural network to suppress Standard Model backgrounds, and estimates residual backgrounds using a fully data-driven method. The analysis is performed in both the muon and electron channels, and the combined result is interpreted in terms of limits on the CMSSM parameter space.CMS-PAS-SUS-11-026oai:cds.cern.ch:14438662012 |
| spellingShingle | Particle Physics - Experiment CMS Collaboration Search for supersymmetry in events with a single lepton and jets using a neural network |
| title | Search for supersymmetry in events with a single lepton and jets using a neural network |
| title_full | Search for supersymmetry in events with a single lepton and jets using a neural network |
| title_fullStr | Search for supersymmetry in events with a single lepton and jets using a neural network |
| title_full_unstemmed | Search for supersymmetry in events with a single lepton and jets using a neural network |
| title_short | Search for supersymmetry in events with a single lepton and jets using a neural network |
| title_sort | search for supersymmetry in events with a single lepton and jets using a neural network |
| topic | Particle Physics - Experiment |
| url | http://cds.cern.ch/record/1443866 |
| work_keys_str_mv | AT cmscollaboration searchforsupersymmetryineventswithasingleleptonandjetsusinganeuralnetwork |