Search for standard model Higgs boson production in association with a W boson using a neural network discriminant at CDF
We present a search for standard model Higgs boson production in association with a W boson in proton-antiproton collisions (pp ↠W±H↠â.,"Î bbÂ) at a center of mass energy of 1.96 TeV. The search employs data collected with the CDF II detector that correspond to an integrated luminosity o...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
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2009
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| _version_ | 1797103427997663232 |
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| author | Aaltonen, T Adelman, J Akimoto, T Aacutelvarez Gonzalez, B Amerio, S Amidei, D Anastassov, A Annovi, A Antos, J Apollinari, G Apresyan, A Arisawa, T Artikov, A Ashmanskas, W Attal, A Aurisano, A Azfar, F Badgett, W Barbaro-Galtieri, A Barnes, V Barnett, B Barria, P Bartsch, V Bauer, G Beauchemin, P |
| author_facet | Aaltonen, T Adelman, J Akimoto, T Aacutelvarez Gonzalez, B Amerio, S Amidei, D Anastassov, A Annovi, A Antos, J Apollinari, G Apresyan, A Arisawa, T Artikov, A Ashmanskas, W Attal, A Aurisano, A Azfar, F Badgett, W Barbaro-Galtieri, A Barnes, V Barnett, B Barria, P Bartsch, V Bauer, G Beauchemin, P |
| author_sort | Aaltonen, T |
| collection | OXFORD |
| description | We present a search for standard model Higgs boson production in association with a W boson in proton-antiproton collisions (pp ↠W±H↠â.,"Î bbÂ) at a center of mass energy of 1.96 TeV. The search employs data collected with the CDF II detector that correspond to an integrated luminosity of approximately 1.9 fb-1. We select events consistent with a signature of a single charged lepton (e±/Π±), missing transverse energy, and two jets. Jets corresponding to bottom quarks are identified with a secondary vertex tagging method, a jet probability tagging method, and a neural network filter. We use kinematic information in an artificial neural network to improve discrimination between signal and background compared to previous analyses. The observed number of events and the neural network output distributions are consistent with the standard model background expectations, and we set 95% confidence level upper limits on the production cross section times branching fraction ranging from 1.2 to 1.1 pb or 7.5 to 102 times the standard model expectation for Higgs boson masses from 110 to 150 GeV/c2, respectively. © 2009 The American Physical Society. |
| first_indexed | 2024-03-07T06:19:57Z |
| format | Journal article |
| id | oxford-uuid:f2650a2f-3e95-4575-abd7-622594454f74 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:19:57Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | oxford-uuid:f2650a2f-3e95-4575-abd7-622594454f742022-03-27T12:03:27ZSearch for standard model Higgs boson production in association with a W boson using a neural network discriminant at CDFJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f2650a2f-3e95-4575-abd7-622594454f74EnglishSymplectic Elements at Oxford2009Aaltonen, TAdelman, JAkimoto, TAacutelvarez Gonzalez, BAmerio, SAmidei, DAnastassov, AAnnovi, AAntos, JApollinari, GApresyan, AArisawa, TArtikov, AAshmanskas, WAttal, AAurisano, AAzfar, FBadgett, WBarbaro-Galtieri, ABarnes, VBarnett, BBarria, PBartsch, VBauer, GBeauchemin, PWe present a search for standard model Higgs boson production in association with a W boson in proton-antiproton collisions (pp ↠W±H↠â.,"Î bbÂ) at a center of mass energy of 1.96 TeV. The search employs data collected with the CDF II detector that correspond to an integrated luminosity of approximately 1.9 fb-1. We select events consistent with a signature of a single charged lepton (e±/Π±), missing transverse energy, and two jets. Jets corresponding to bottom quarks are identified with a secondary vertex tagging method, a jet probability tagging method, and a neural network filter. We use kinematic information in an artificial neural network to improve discrimination between signal and background compared to previous analyses. The observed number of events and the neural network output distributions are consistent with the standard model background expectations, and we set 95% confidence level upper limits on the production cross section times branching fraction ranging from 1.2 to 1.1 pb or 7.5 to 102 times the standard model expectation for Higgs boson masses from 110 to 150 GeV/c2, respectively. © 2009 The American Physical Society. |
| spellingShingle | Aaltonen, T Adelman, J Akimoto, T Aacutelvarez Gonzalez, B Amerio, S Amidei, D Anastassov, A Annovi, A Antos, J Apollinari, G Apresyan, A Arisawa, T Artikov, A Ashmanskas, W Attal, A Aurisano, A Azfar, F Badgett, W Barbaro-Galtieri, A Barnes, V Barnett, B Barria, P Bartsch, V Bauer, G Beauchemin, P Search for standard model Higgs boson production in association with a W boson using a neural network discriminant at CDF |
| title | Search for standard model Higgs boson production in association with a W boson using a neural network discriminant at CDF |
| title_full | Search for standard model Higgs boson production in association with a W boson using a neural network discriminant at CDF |
| title_fullStr | Search for standard model Higgs boson production in association with a W boson using a neural network discriminant at CDF |
| title_full_unstemmed | Search for standard model Higgs boson production in association with a W boson using a neural network discriminant at CDF |
| title_short | Search for standard model Higgs boson production in association with a W boson using a neural network discriminant at CDF |
| title_sort | search for standard model higgs boson production in association with a w boson using a neural network discriminant at cdf |
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