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Measurement of the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>t</mml:mi><mml:mover accent="true"><mml:mi>t</mml:mi><mml:mo>¯</mml:mo></mml:mover></mml:math>production cross section in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>p</mml:mi><mml:mover accent="true"><mml:mi>p</mml:mi><mml:mo>¯</mml:mo></mml:mover></mml:math>collisions at<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>1.96</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>TeV</mml:mi></mml:math>using secondary vertex<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>b</mml:mi></mml:math>tagging
V. M. Abazov, B. Abbott, M. Abolins, B. S. Acharya, M. Adams, T. Adams, E. Aguiló, S. H. Ahn, M. Ahsan, G. D. Alexeev, G. Alkhazov, G. Alverson, G. A. Alves, M. Anastasoaie, L. S. Ancu, T. Andeen, S. Anderson, B. Andrieu, M. S. Anzelc, Y. Arnoud, M. Arov, A. Askew, B. Åsman, A. C. S. Assis Jesus, O. Atramentov, C. Autermann, C. Ávila, C. Ay, F. Badaud, A. Baden, L. Bagby, B. Baldin, D. V. Bandurin, P. Banerjee, S. Banerjee, E. Barberis, P. Bargassa, P. Baringer, C. Barnes, J. Barreto, J. F. Bartlett, U. Bassler, D. Bauer, S. Beale, A. Bean, M. Begalli, M. Begel, C. Bélanger-Champagne, L. Bellantoni, A. Bellavance, J. F. Benitez, S. B. Beri, G. Bernardi, R. Bernhard, L. Berntzon, I. A. Bertram, M. Besançon, R. Beuselinck, V. A. Bezzubov, P. C. Bhat, V. Bhatnagar, M. Binder, C. Biscarat, I. Blackler, G. Blazey, F. Blekman, S. Blessing, D. Blöch, K. Bloom, U. Blumenschein, A. Boehnlein, T. A. Bolton, G. Borissov, K. Bos, T. Bose, A. Brandt, R. Brock, G. Brooijmans, A. Bross, D. Brown, N. J. Buchanan, D. Buchholz, M. Buehler, V. Buescher, S. Burdin, S. Bürke, T. H. Burnett, K. Satô, C. P. Buszello, J. M. Butler, P. Calfayan, S. Calvet, J. Cammin, S. Caron, W. Carvalho, N. M. Cason, H. Castilla-Valdez, S. Chakrabarti, D. Chakraborty, K. M. Chan, A. Chandra, F. Charles, E. Cheu, F. Chevallier, D. K. Cho, S. Choi, B. C. Choudhary, L. Christofek, D. R. Claes, B. Clément, C. Clément, Y. Coadou, M. Cooke, W. E. Cooper, D. Coppage, M. Corcoran, F. Couderc, M.-C. Cousinou, B. Cox, S. Cŕéṕe-Renaudin, D. Cutts, M. Ćwiok, H. da Motta, Ashok Das, Mrinal Kumar Das, Brian Davies, G. Davies, K. De, S. J. de Jong, E. De La Cruz–Burelo, C. De Oliveira Martins, J. Degenhardt, F. Déliot, M. Demarteau, R. Demina, D. Denisov, S. P. Denisov, S. Desai, H. T. Diehl, M. Diesburg, Mark Doidge, A. Dominguez, H. Dong, L. Dudko, L. Duflot, S. R. Dugad, D. Duggan, A. Duperrin, J. Dyer, A. Dyshkant, M. Eads, D. Edmunds, J. Ellison, J. Elmsheuser, V. D. Elvira, Y. Enari, S. C. Eno, P. Ermolov, H. Evans, A. Evdokimov, В. Н. Евдокимов, L. Feligioni, A. V. Ferapontov, T. Ferbel, F. Fiedler, F. Filthaut, W. C. Fisher, H. E. Fisk, I. Fleck, M. Ford, M. Fortner, H. Fox, S. Fu, S. Fuess, T. Gadfort, Cristina Galea, E. J. Gallas, E. Galyaev, C. Garcı́a, A. Garcia-Bellido, J. Gardner, V. Gavrilov, A. Gay, P. Gay, W. Geist, D. Gelé, R. Gelhaus, C. E. Gerber, Y. Gershtein, D. Gillberg, G. Ginther, N. Gollub, B. Gómez, A. G. Goussiou, P. D. Grannis, P. Green, Z. D. Greenwood, E. M. Gregores, G. Grenier, Ph. Gris, J.-F. Grivaz, A. Grohsjean, S. Grünendahl, M. Grünewald, F. Guo, J. Guo, G. Gutierrez, P. Gutierrez, A. Haas, N. J. Hadley, P. Haefner, S. Hagopian, J. Haley, I. Hall, R. E. Hall, L. Han, K. Hanagaki, K. Harder, A. Harel, R. Harrington, J. M. Hauptman, R. Hauser, J. Hays, T. Hebbeker, D. Hedin, J. G. Hegeman, J. M. Heinmiller, A. P. Heinson, U. Heintz, C. Hensel, K. Herner, G. G. Hesketh, M. D. Hildreth, R. Hirosky, J. D. Hobbs, B. Hoeneisen, H. Hoeth, M. Hohlfeld, S. J. Hong, R. Hooper, P. Houben, Y. Hu, Z. Hubáček, V. Hynek, I. Iashvili, R. Illingworth, A. S. Ito, S. Jabeen, M. Jaffré, Samyak Jain, K. Jakobs, C. Jarvis, A. Jenkins, R. Jesik, K. A. Johns, C. Johnson, M. Johnson, A. Jonckheere, P. Jonsson, D. Käfer, S. J. Kahn, E. Kajfasz, A. Kalinin, J. M. Kalk, J. R. Kalk, S. Kappler, D. Karmanov, J. Kasper, P. Kasper, I. Katsanos, D. Kau, R. Kaur, R. Kehoe, S. Kermiche, N. Khalatyan, A. Khanov, A. Kharchilava, Y. M. Kharzheev, D. Khatidze, H. Kim, T. J. Kim, M. H. Kirby, B. Klima, J. M. Kohli, J.-P. Konrath, M. Kopal, V. M. Korablev, J. Kotcher, B. Kothari, A. Koubarovsky, A. V. Kozelov, D. Krop, A. Kryemadhi, T. Kühl, Ashish Kumar, S. Kunori, A. Kupčo, T. Kurča, J. Kvita, D. Lam, S. Lammers, G. Landsberg, J. Lazoflores, A.-C. Le Bihan, P. Lebrun, W. M. Lee, A. Leflat, F. Lehner, V. Lesne, J. Levêque, P. Lewis, J. Li, L. Li, Q. Z. Li, J. G. R. Lima, D. Lincoln, J. Linnemann, V. V. Lipaev, R. Lipton, Z. Liu, L. Lobo, A. Lobodenko, M. Lokajı́ček, A. Lounis, Peter Love, H. J. Lubatti, M. Lynker, A. L. Lyon, A. K. A. Maciel, R. J. Madaras, P. Mättig, C. Magass, A. Magerkurth, A.-M. Magnan, N. Makovec, P. Mal, H. B. Malbouisson, S. Malik, V. L. Malyshev, H. S. Mao, Y. Maravin, M. Martens, R. McCarthy, D. Meder, A. Melnitchouk, Andre David Tinoco Mendes, L. Mendoza, M. Merkin, K. W. Merritt, A. Meyer, M. Michaut, H. Miettinen, T. Millet, J. Mitrevski, Jorge Molina, R. K. Mommsen, N. K. Mondal, J. Monk, R. W. Moore, T. Moulik, G.S. Muanza, M. Mulders, M. Mulhearn, O. Mundal, L. Mundim, E. Nagy, M. Naimuddin, M. Narain, N. A. Naumann, H. A. Neal, J. P. Negret, P. Neustroev, C. Noeding, A. Nomerotski, S. F. Novaes, T. Nunnemann, V. O’Dell, D. C. O’Neil, G. Obrant, C. Ochando, V. Oguri, Nyelsen Fernandes de Oliveira, D. Onoprienko, N. Oshima, J. Osta, R. Otec, G. J. Otero y Garzón, M. Owen, P. Padley, N. Parashar, S.-J. Park, S. K. Park, J. Parsons, R. Partridge, N. Parua, A. Patwa, G. Pawloski, P. M. Perea, Κ. Peters, P. Pétroff, M. Petteni, R. Piegaia, J. Piper, M.-A. Pleier, P. L. M. Podesta-Lerma, V. M. Podstavkov, Y. Pogorelov, M.-E. Pol, A. Pompoš, B. G. Pope, A. V. Popov, C. T. Potter, W. L. Prado da Silva, H. Prosper, S. Protopopescu, J. Qian, A. Quadt, B. Quinn, M. S. Rangel, K. J. Rani, K. Ranjan, P. N. Ratoff, P. Renkel, S. Reucroft, M. Rijssenbeek, I. Ripp-Baudot, F. Rizatdinova, S. Robinson, R. F. Rodrigues, C. R. Royon, P. Rubinov, R. Ruchti, V. I. Rud, G. Sajot, A. Sánchez-Hernández, M. P. Sanders, A. Santoro, G. Savage, L. Sawyer, T. Scanlon, D. Schaile, R. D. Schamberger, Y. Scheglov, H. Schellman, P. Schieferdecker, C. Schmitt, C. Schwanenberger, A. Schwartzman, R. Schwienhorst, J. Sekaric, S. Sengupta, H. Severini, E. Shabalina, M. Shamim, V. Shary, A. A. Shchukin, R. K. Shivpuri, D. Shpakov, V. Siccardi, R. A. Sidwell, V. Simak, V. Sirotenko, P. Skubic, P. Slattery, R. P. Smith, G. R. Snow, J. Snow, S. Söldner‐Rembold, X. Song, L. Sonnenschein, A. Sopczak, M. Sosebee, K. Soustružnı́k, M. Souza, B. Spurlock, J. Stark, J. Steele, V. Stolin, A. Stone, D. A. Stoyanova, J. Strandberg, S. Strandberg, M. A. Strang, M. Strauss, R. Ströhmer, D. Strom, M. Strovink, L. Stutte, S. Sumowidagdo, P. Svoisky, A. Sznajder, M. Talby, P. Tamburello, W. Taylor, P. Telford, J. Temple, B. Tiller, M. Titov, V. V. Tokmenin, M. Tomoto, T. Toole, I. Torchiani, T. Trefzger, S. Trincaz-Duvoid, D. Tsybychev, B. Tuchming, C. Tully, P. M. Tuts, R. Unalan, S. Uvarov, S. Uzunyan, B. Vachon, P. J. van den Berg, B. van Eijk, R. Van Kooten, W. M. van Leeuwen, N. Varelas, E. W. Varnes, A. Vartapetian, I. A. Vasilyev, M. Vaupel, P. Verdier, L. S. Vertogradov, M. Verzocchi, F. Villeneuve-Seguier, P. Vint, J.-R. Vlimant, E. Von Toerne, M. Voutilainen, M. Vreeswijk, H. D. Wahl, L. Wang, M. Wang, J. Warchol, G. Watts, M. Wayne, G. Weber, M. Weber, H. Weerts, N. Wermes, M. Wetstein, A. White, D. Wicke, G. Wilson, Stephen Wimpenny, M. Wobisch, J. Womersley, D. R. Wood, T.R. Wyatt, Y. Xie, S. Yacoob, R. Yamada, M. Yan, T. Yasuda, Y. A. Yatsunenko, K. Yip, H. D. Yoo, S. W. Youn, C. Yu, J. Yu, A. Yurkewicz, A. Zatserklyaniy, C. Zeitnitz, D. Zhang, T. Zhao, B. Zhou, J. Zhu, M. Zielinski, D. Ziemińska, A. Zieminski, V. Zutshi, E. G. Zverev
Bibliographic record
VenuePhysical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology · 2006
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsMcGill UniversityYork UniversitySimon Fraser UniversityUniversity of Alberta
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesScience and Technology Facilities CouncilConsejo Nacional de Investigaciones Científicas y TécnicasNatural Sciences and Engineering Research Council of CanadaFundação para o Desenvolvimento da UNESPCentre National de la Recherche ScientifiqueU.S. Department of EnergyVetenskapsrådetConselho Nacional de Desenvolvimento Científico e TecnológicoBundesministerium für Bildung und ForschungFundação de Amparo à Pesquisa do Estado de São PauloCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorRussian Foundation for Basic ResearchDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)Federal Agency for Science and InnovationDeutsche ForschungsgemeinschaftKorea Science and Engineering FoundationWestern Canada Research GridAlexander von Humboldt-StiftungFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroDepartment of Science and Technology, Ministry of Science and Technology, IndiaFermilabNational Science FoundationScience Foundation IrelandSecretaría de Ciencia y Técnica, Universidad de Buenos Aires
KeywordsPhysicsMuonParticle physicsLeptonEnergy (signal processing)Production (economics)NeutrinoNuclear physicsElectron
Abstract
We report a new measurement of the $t\overline{t}$ production cross section in $p\overline{p}$ collisions at a center-of-mass energy of 1.96 TeV using events with one charged lepton (electron or muon), missing transverse energy, and jets. Using $425\text{ }\text{ }{\mathrm{pb}}^{\ensuremath{-}1}$ of data collected using the D0 detector at the Fermilab Tevatron Collider, and enhancing the $t\overline{t}$ content of the sample by tagging $b$ jets with a secondary vertex tagging algorithm, the $t\overline{t}$ production cross section is measured to be ${\ensuremath{\sigma}}_{p\overline{p}\ensuremath{\rightarrow}t\overline{t}+X}=6.6\ifmmode\pm\else\textpm\fi{}0.9(\mathrm{stat}+\mathrm{syst})\ifmmode\pm\else\textpm\fi{}0.4(\mathrm{lum})\text{ }\text{ }\mathrm{pb}$. This cross section is the most precise D0 measurement to date for $t\overline{t}$ production and is in good agreement with standard model expectations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.170
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.051 | 0.021 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.019
GPT teacher head0.278
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations54
Published2006
Admission routes2
Has abstractyes