Search for single top quark production at DØ using neural networks
We present a search for electroweak production of single top quarks in ≈90 pb-1 of data collected with the DØ detector at the Fermilab Tevatron collider. Using arrays of neural networks to separate signals from backgrounds, we set upper limits on the cross sections of 17 pb for the s-channel process...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2001
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| _version_ | 1826268047057354752 |
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| author | Abazov, V Abbott, B Abdesselam, A Abolins, M Abramov, V Acharya, B Adams, D Adams, M Ahmed, SN Alexeev, G Alves, G Amos, N Anderson, E Arnoud, Y Baarmand, M Babintsev, V Babukhadia, L Bacon, T Baden, A Baldin, B Balm, P Banerjee, S Barberis, E Baringer, P Barreto, J |
| author_facet | Abazov, V Abbott, B Abdesselam, A Abolins, M Abramov, V Acharya, B Adams, D Adams, M Ahmed, SN Alexeev, G Alves, G Amos, N Anderson, E Arnoud, Y Baarmand, M Babintsev, V Babukhadia, L Bacon, T Baden, A Baldin, B Balm, P Banerjee, S Barberis, E Baringer, P Barreto, J |
| author_sort | Abazov, V |
| collection | OXFORD |
| description | We present a search for electroweak production of single top quarks in ≈90 pb-1 of data collected with the DØ detector at the Fermilab Tevatron collider. Using arrays of neural networks to separate signals from backgrounds, we set upper limits on the cross sections of 17 pb for the s-channel process pp̄ → tb + X, and 22 pb for the t-channel process pp̄ → tqb + X, both at the 95% confidence level. © 2001 Elsevier Science B.V. All rights reserved. |
| first_indexed | 2024-03-06T21:03:36Z |
| format | Journal article |
| id | oxford-uuid:3bb4fa22-2c57-472d-94f7-64d541a15df9 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T21:03:36Z |
| publishDate | 2001 |
| record_format | dspace |
| spelling | oxford-uuid:3bb4fa22-2c57-472d-94f7-64d541a15df92022-03-26T14:09:14ZSearch for single top quark production at DØ using neural networksJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:3bb4fa22-2c57-472d-94f7-64d541a15df9EnglishSymplectic Elements at Oxford2001Abazov, VAbbott, BAbdesselam, AAbolins, MAbramov, VAcharya, BAdams, DAdams, MAhmed, SNAlexeev, GAlves, GAmos, NAnderson, EArnoud, YBaarmand, MBabintsev, VBabukhadia, LBacon, TBaden, ABaldin, BBalm, PBanerjee, SBarberis, EBaringer, PBarreto, JWe present a search for electroweak production of single top quarks in ≈90 pb-1 of data collected with the DØ detector at the Fermilab Tevatron collider. Using arrays of neural networks to separate signals from backgrounds, we set upper limits on the cross sections of 17 pb for the s-channel process pp̄ → tb + X, and 22 pb for the t-channel process pp̄ → tqb + X, both at the 95% confidence level. © 2001 Elsevier Science B.V. All rights reserved. |
| spellingShingle | Abazov, V Abbott, B Abdesselam, A Abolins, M Abramov, V Acharya, B Adams, D Adams, M Ahmed, SN Alexeev, G Alves, G Amos, N Anderson, E Arnoud, Y Baarmand, M Babintsev, V Babukhadia, L Bacon, T Baden, A Baldin, B Balm, P Banerjee, S Barberis, E Baringer, P Barreto, J Search for single top quark production at DØ using neural networks |
| title | Search for single top quark production at DØ using neural networks |
| title_full | Search for single top quark production at DØ using neural networks |
| title_fullStr | Search for single top quark production at DØ using neural networks |
| title_full_unstemmed | Search for single top quark production at DØ using neural networks |
| title_short | Search for single top quark production at DØ using neural networks |
| title_sort | search for single top quark production at do using neural networks |
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