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Record W2291764025 · doi:10.1103/physrevd.83.071102

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 with an<i>in situ</i>calibration of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>b</mml:mi></mml:math>-jet identification efficiency

2011· article· lv· W2291764025 on OpenAlexafffund
T. Aaltonen, B. Álvarez González, S. Amerio, D. Amidei, A. Anastassov, A. Annovi, J. Antoš, G. Apollinari, J. A. Appel, A. Apresyan, T. Arisawa, A. Artikov, J. Asaadi, W. Ashmanskas, B. Auerbach, A. Aurisano, F. Azfar, W. Badgett, A. Barbaro‐Galtieri, V. E. Barnes, B. A. Barnett, P. Barria, P. Bartos, M. Bauce, G. Bauer, F. Bedeschi, D. Beecher, S. Behari, G. Bellettini, J. Bellinger, D. Benjamin, A. Beretvas, A. Bhatti, M. Binkley, D. Bisello, I. Bizjak, K. R. Bland, C. Blocker, B. Blumenfeld, A. Bocci, A. Bodek, D. Bortoletto, J. Boudreau, A. Boveia, B. Brau, L. Brigliadori, A. Brisuda, C. Bromberg, E. Brücken, M. Bucciantonio, J. Budagov, H. S. Budd, S. Budd, K. Burkett, G. Busetto, P. Bussey, A. Buzatu, C. Calancha, S. Camarda, M. Campanelli, M. Campbell, F. Canelli, A. Canepa, B. Carls, D. Carlsmith, R. Carosi, S. Carrillo, S. Carron, B. Casal, M. Casarsa, A. Castro, P. Catastini, D. Cauz, V. Cavaliere, F. Šforza, A. Cerri, Y. C. Chen, M. Chertok, G. Chiarelli, G. Chlachidze, F. Chlebana, K. Cho, D. Chokheli, J. P. Chou, W. H. Chung, Y. S. Chung, C. I. Ciobanu, M. A. Ciocci, A. Clark, D. Clark, G. Compostella, M. E. Convery, J. Conway, M. Corbo, M. Cordelli, C. A. Cox, D. J. Cox, F. Crescioli, C. Cuenca Almenar, J. Cuevas, R. Culbertson, D. Dagenhart, N. d’Ascenzo, M. Datta, P. de Barbaro, S. De Cecco, M. Dell’Orso, C. Deluca, L. Demortier, J. Deng, M. Deninno, F. Devoto, M. d’Errico, A. Di Canto, B. Di Ruzza, J. Dittmann, M. D’Onofrio, S. Donati, P. Dong, T. Dorigo, K. Ebina, A. Elagin, A. Eppig, R. Erbacher, D. Errede, S. Errede, N. Ershaidat, R. Eusebi, H. C. Fang, S. M. Farrington, M. Feindt, J. P. Fernández, C. Ferrazza, R. D. Field, G. Flanagan, R. Forrest, M. J. Frank, M. Franklin, J. Freeman, I. Furic, M. Gallinaro, J. Galyardt, J. E. Garcia, A. F. Garfinkel, P. Garosi, H. Gerberich, E. Gerchtein, S. Giagu, V. Giakoumopoulou, P. Giannetti, K. Gibson, C. M. Ginsburg, N. Giokaris, P. Giromini, M. Giunta, G. Giurgiu, V. Glagolev, D. Glenzinski, M. Gold, D. Goldin, N. Goldschmidt, A. Golossanov, G. Gómez, G. Gomez Ceballos, M. Goncharov, I. Gorelov, A. T. Goshaw, K. Goulianos, A. Gresele, S. Grinstein, C. Grosso-Pilcher, J. Guimarães da Costa, Z. Gunay-Unalan, C. Haber, S. R. Hahn, E. Halkiadakis, A. Hamaguchi, J. Y. Han, F. Happacher, K. Hara, D. Hare, M. Hare, R. Harr, K. Hatakeyama, C. P. Hays, M. Heck, J. J. Heinrich, M. Herndon, S. Hewamanage, D. Hidas, A. Höcker, W. H. Hopkins, D. Horn, S. Hou, R. E. Hughes, M. Hurwitz, U. Husemann, N. Hussain, M. Hussein, J. Huston, G. Introzzi, M. Iori, A. Ivanov, E. James, D. Jang, B. Jayatilaka, E. J. Jeon, M. K. Jha, S. Jindariani, W. Johnson, M. Jones, K. K. Joo, S. Y. Jun, T. R. Junk, T. Kamon, P. E. Karchin, Y. Kato, W. Ketchum, J. Keung, V. Khotilovich, B. Kilminster, D. H. Kim, H. S. Kim, H. W. Kim, J. E. Kim, M. J. Kim, S. B. Kim, S. H. Kim, Y. K. Kim, N. Kimura, S. Klimenko, K. Kondo, D. J. Kong, J. Konigsberg, A. Korytov, A. V. Kotwal, M. Kreps, J. Kroll, D. Krop, N. Krumnack, M. Kruse, V. Krutelyov, T. Kuhr, M. Kurata, S. Kwang, A. T. Laasanen, S. Lami, S. Lammel, M. Lancaster, R. L. Lander, K. Lannon, A. Lath, G. Latino, I. Lazzizzera, T. LeCompte, E. Lee, H. S. Lee, S. W. Lee, S. Leo, S. Leone, J. D. Lewis, C.-J. Lin, J. Linacre, M. Lindgren, E. Lipeles, A. Lister, D. O. Litvintsev, C. Liu, Q. Liu, Tao Liu, S. Lockwitz, A. Loginov, D. Lucchesi, J. Lueck, P. Lujan, P. Lukens, G. Lungu, J. Lys, R. Lysák, R. Madrak, K. Maeshima, K. Makhoul, P. Maksimovic, S. Malik, G. Manca, A. Manousakis-Katsikakis, F. Margaroli, C. P. Marino, M. Martı́nez, R. Mart́ínez-Ballaŕın, P. Mastrandrea, M. Mathis, M. E. Mattson, P. Mazzanti, K. S. McFarland, P. McIntyre, R. McNulty, A. Mehta, P. Mehtälä, A. Menzione, C. Mesropian, T. Miao, D. Mietlicki, G. Mitselmakher, H. Miyake, S. Moêd, N. Moggi, M. N. Mondragón, C. S. Moon, R. W. Moore, M. J. Morello, J. Morlock, P. Movilla Fernandez, A. Mukherjee, T. Müller, P. Murat, M. Mussini, J. Nachtman, Y. Nagai, J. Naganoma, I. Nakano, A. Napier, J. Nett, C. Neu, M. S. Neubauer, J. Nielsen, L. Nodulman, O. Norniella, E. Nurse, L. Oakes, S. H. Oh, Y. D. Oh, I. Oksuzian, T. Okusawa, R. Orava, L. Ortolan, S. Pagan Griso, C. Pagliarone, V. Papadimitriou, A. A. Paramonov, J. Patrick, G. Pauletta, M. Paulini, C. Paus, D. E. Pellett, A. Penzo, T. J. Phillips, G. Piacentino, E. Pianori, J. Pilot, K. Pitts, C. Plager, L. Pondrom, K. Potamianos, O. Poukhov, F. Prokoshin, A. Pronko, F. Ptohos, E. Pueschel, G. Punzi, J. Pursley, A. Rahaman, V. Ramakrishnan, N. Ranjan, I. Redondo, P. Renton, M. Rescigno, F. Rimondi, L. Ristori, A. Robson, T. Rodrigo, T. Rodriguez, E. Rogers, S. Rolli, R. Roser, M. Rossi, F. Ruffini, A. Ruiz-Jimeno, J. Russ, V. Rusu, A. Safonov, W. K. Sakumoto, L. Santi, L. Sartori, K. Satô, V. Saveliev, A. Savoy-Navarro, P. Schlabach, A. Schmidt, E. E. Schmidt, M. P. Schmidt, M. Schmitt, Thomas Schwarz, L. Scodellaro, A. Scribano, F. Scuri, A. Sedov, S. Seidel, Y. Seiya, A. Semenov, A. Sfyrla, S. Z. Shalhout, T. Shears, P. F. Shepard, M. Shimojima, S. Shiraishi, M. J. Shochet, I. Shreyber, А. Симоненко, P. Sinervo, A. Sissakian, K. Śliwa, J. R. Smith, F. D. Snider, A. Soha, S. Somalwar, V. Sorı́n, P. Squillacioti, M. M. Stanitzki, R. St. Denis, B. Stelzer, O. Stelzer-Chilton, D. Stentz, J. Strologas, G. L. Strycker, Y. Sudo, A. Sukhanov, I. Suslov, K. Takemasa, Y. Takeuchi, J. Tang, M. Tecchio, P. K. Teng, J. Thom, J. Thome, G. A. Thompson, E. Thomson, P. Ttito-Guzmán, S. Tkaczyk, D. Toback, S. Tokár, K. Tollefson, T. Tomura, D. Tonelli, S. Torre, D. Torretta, P. Totaro, M. Trovato, Y. Tu, N. Turini, F. Ukegawa, S. Uozumi, A. Varganov, E. Vataga, F. Vázquez, G. Velev, C. Vellidis, I. Vila, M. Vogel, M. Volpi, P. Wagner, R. L. Wagner, T. Wakisaka, R. Wallny, S. M. Wang, A. Warburton, D. Waters, M. Weinberger, W. C. Wester, B. Whitehouse, D. Whiteson, A. B. Wicklund, E. Wicklund, S. Wilbur, F. Wick, H. H. Williams, J. Wilson, P. Wilson, B. L. Winer, P. Wittich, S. Wolbers, H. Wolfe, T. Wright, X. Wu, Z. Wu, K. Yamamoto, J. Yamaoka, U. K. Yang, Y. C. Yang, W-M. Yao, G. P. Yeh, K. Yi, J. Yoh, K. Yorita, T. Yoshida, G. B. Yu, I. Yu, S. S. Yu, J. C. Yun, A. Zanetti, Y. Zeng, S. Zucchelli

Bibliographic record

VenuePhysical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology · 2011
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsMcGill UniversityInstitute of Particle PhysicsSimon Fraser UniversityUniversity of TorontoTRIUMF
FundersFermilabIstituto Nazionale di Fisica NucleareCentre National de la Recherche ScientifiqueRussian Foundation for Basic ResearchAcademy of FinlandNatural Sciences and Engineering Research Council of CanadaAlfred P. Sloan FoundationNational Science CouncilMinistry of Education, Culture, Sports, Science and TechnologyScience and Technology Facilities CouncilNational Research FoundationNational Science FoundationRoyal SocietyNational Research Foundation of KoreaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungU.S. Department of Energy
KeywordsPhysicsCollider Detector at FermilabTop quarkParticle physicsJet (fluid)LuminosityColliderQuarkNuclear physicsProduction (economics)AlgorithmComputer scienceLarge Hadron ColliderAstrophysics

Abstract

fetched live from OpenAlex

A measurement of the top-quark pair-production cross section in $p\overline{p}$ collisions at $\sqrt{s}=1.96\text{ }\text{ }\mathrm{TeV}$ using data corresponding to an integrated luminosity of $1.12\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ collected with the Collider Detector at Fermilab is presented. Decays of top-quark pairs into the final states $e\ensuremath{\nu}+$ jets and $\ensuremath{\mu}\ensuremath{\nu}+$ jets are selected, and the cross section and the $b$-jet identification efficiency are determined using a new measurement technique which requires agreement between the measured cross sections with exactly one and with multiple identified $b$ quarks from the top-quark decays. Assuming a top-quark mass of $175\text{ }\text{ }\mathrm{GeV}/{c}^{2}$, a cross section of $8.5\ifmmode\pm\else\textpm\fi{}0.6(\mathrm{stat})\ifmmode\pm\else\textpm\fi{}0.7(\mathrm{syst})\mathrm{pb}$ is measured.

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 imitation

Not 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)0.001
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.006

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 head0.021
GPT teacher head0.282
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine 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

Citations9
Published2011
Admission routes2
Has abstractyes

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