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Record W2471468099 · doi:10.1103/physrevd.94.032008

Measurement of the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>W</mml:mi><mml:mi>W</mml:mi></mml:math>and<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>W</mml:mi><mml:mi>Z</mml:mi></mml:math>production cross section using final states with a charged lepton and heavy-flavor jets in the full CDF Run II data set

2016· article· en· W2471468099 on OpenAlexafffund
T. Aaltonen, S. Amerio, D. Amidei, A. Anastassov, A. Annovi, J. Antoš, G. Apollinari, J. A. Appel, T. Arisawa, A. Artikov, J. Asaadi, W. Ashmanskas, B. Auerbach, A. Aurisano, F. Azfar, W. Badgett, T. Bae, A. Barbaro‐Galtieri, V. E. Barnes, B. A. Barnett, P. Barria, P. Bartos, M. Bauce, F. Bedeschi, S. Behari, G. Bellettini, J. Bellinger, D. Benjamin, A. Beretvas, A. Bhatti, K. R. Bland, B. Blumenfeld, A. Bocci, A. Bodek, D. Bortoletto, J. Boudreau, A. Boveia, L. Brigliadori, C. Bromberg, E. Brücken, J. Budagov, H. S. Budd, K. Burkett, G. Busetto, P. Bussey, P. Butti, A. Buzatu, A. Calamba, S. Camarda, M. Campanelli, F. Canelli, B. Carls, D. Carlsmith, R. Carosi, S. Carrillo, 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, K. Cho, D. Chokheli, A. Clark, C. Clarke, M. E. Convery, J. Conway, M. Corbo, M. Cordelli, C. A. Cox, D. J. Cox, M. Cremonesi, D. Cruz, J. Cuevas, R. Culbertson, N. d’Ascenzo, M. Datta, P. de Barbaro, L. Demortier, M. Deninno, F. Devoto, M. d’Errico, A. Di Canto, B. Di Ruzza, J. Dittmann, M. D’Onofrio, S. Donati, M. Dorigo, A. Driutti, K. Ebina, R. C. Edgar, A. Elagin, R. Erbacher, S. Errede, B. Esham, R. Eusebi, S. M. Farrington, J. P. Fernández Ramos, R. D. Field, G. Flanagan, R. Forrest, M. Franklin, J. Freeman, H. Frisch, Y. Funakoshi, A. F. Garfinkel, P. Garosi, H. Gerberich, E. Gerchtein, S. Giagu, V. Giakoumopoulou, K. Gibson, C. M. Ginsburg, N. Giokaris, P. Giromini, G. Giurgiu, V. Glagolev, D. Glenzinskí, M. Gold, D. Goldin, A. Golossanov, G. Gómez, G. Gomez Ceballos, M. Goncharov, O. González López, I. Gorelov, A. T. Goshaw, K. Goulianos, E. Gramellini, S. Grinstein, C. Grosso-Pilcher, J. Guimarães da Costa, S. R. Hahn, J. Han, F. Happacher, K. Hara, M. Hare, R. Harr, T. Harrington-Taber, K. Hatakeyama, C. P. Hays, J. J. Heinrich, M. Herndon, A. Höcker, Z. Hong, W. H. Hopkins, S. Hou, R. E. Hughes, U. Husemann, J. Huston, G. Introzzi, M. Iori, A. Ivanov, E. James, D. Jang, B. Jayatilaka, E. J. Jeon, S. Jindariani, M. Jones, K. K. Joo, S. Y. Jun, T. R. Junk, M. Kambeitz, T. Kamon, P. E. Karchin, A. Kasmi, Y. Kato, W. Ketchum, J. Keung, B. Kilminster, D. H. Kim, H. S. Kim, J. E. Kim, M. J. Kim, S. B. Kim, S. H. Kim, Y. K. Kim, Y. J. Kim, N. Kimura, M. Kirby, K. Knoepfel, K. Kondo, D. J. Kong, J. Konigsberg, A. V. Kotwal, M. Kreps, J. Kroll, M. Kruse, T. Kuhr, M. Kurata, A. T. Laasanen, S. Lammel, M. Lancaster, K. Lannon, G. Latino, H. S. Lee, S. Leone, J. D. Lewis, A. Limosani, E. Lipeles, H. 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, P. Maestro, S. Malik, G. Manca, A. Manousakis-Katsikakis, F. Margaroli, P. Marino, M. Martı́nez, K. Matera, M. E. Mattson, A. Mazzacane, P. Mazzanti, R. McNulty, A. Mehta, P. Mehtälä, C. Mesropian, T. Miao, D. Mietlicki, H. Miyake, S. Moêd, N. Moggi, C. S. Moon, R. W. Moore, M. J. Morello, A. Mukherjee, Th. Müller, P. Murat, M. Mussini, J. Nachtman, Y. Nagai, J. Naganoma, I. Nakano, A. Napier, J. Nett, C. Neu, T. Nigmanov, L. Nodulman, S. Y. Noh, O. Norniella, L. Oakes, S. H. Oh, Y. D. Oh, I. Oksuzian, T. Okusawa, R. Orava, L. Ortolan, C. Pagliarone, P. Palni, V. Papadimitriou, W. Parker, G. Pauletta, M. Paulini, C. Paus, T. J. Phillips, G. Piacentino, E. Pianori, J. Pilot, K. Pitts, C. Plager, L. Pondrom, S. Poprocki, K. Potamianos, F. Prokoshin, A. Pranko, F. Ptohos, G. Punzi, N. Ranjan, P. Renton, M. Rescigno, T. Riddick, F. Rimondi, L. Ristori, A. Robson, T. Rodriguez, S. Rolli, M. Ronzani, R. Roser, J. L. Rosner, F. Ruffini, A. Ruiz-Jimeno, J. Russ, V. Rusu, A. Safonov, W. K. Sakumoto, Y. Sakurai, L. Santi, K. Satô, V. Saveliev, A. Savoy-Navarro, P. Schlabach, E. E. Schmidt, Thomas Schwarz, L. Scodellaro, S. Seidel, Y. Seiya, A. Semenov, S. Z. Shalhout, T. Shears, P. F. Shepard, M. Shimojima, M. J. Shochet, А. Симоненко, P. Sinervo, K. Śliwa, J. R. Smith, F. D. Snider, V. Sorı́n, H. Song, M. Stancari, R. St. Denis, B. Stelzer, O. Stelzer-Chilton, D. Stentz, J. Strologas, Y. Sudo, A. Sukhanov, I. Suslov, K. Takemasa, Y. Takeuchi, J. Tang, M. Tecchio, P. K. Teng, J. Thom, E. Thomson, V. Thukral, D. Toback, S. Tokár, K. Tollefson, T. Tomura, D. Tonelli, S. Torre, D. Torretta, P. Totaro, M. Trovato, F. Ukegawa, S. Uozumi, F. Vázquez, G. Velev, C. Vellidis, C. Vernieri, J. Vizán, M. Vogel, M. Volpi, P. Wagner, R. Wallny, S. M. Wang, A. Warburton, D. Waters, W. C. Wester, D. Whiteson, A. B. Wicklund, S. Wilbur, H. H. Williams, J. Wilson, P. Wilson, B. L. Winer, P. Wittich, S. Wolbers, H. Wolfe, T. Wright, X. Wu, Z. Wu, K. Yamamoto, D. Yamato, T. Yang, 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, A. Zanetti, Y. Zeng, C. Zhou, S. Zucchelli

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsMcGill UniversityInstitute of Particle PhysicsSimon Fraser UniversityUniversity of TorontoTRIUMF
FundersFermilabInstituto Nazionale di Fisica NucleareIstituto Nazionale di Fisica NucleareAustralian Research CouncilNational Research Foundation of KoreaMinisterio de Ciencia e InnovaciónBundesministerium für Bildung und ForschungRussian 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 SocietySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungU.S. Department of Energy
KeywordsParticle physicsPhysicsTevatronLuminosityColliderProduction (economics)Standard Model (mathematical formulation)BosonNuclear physicsLarge Hadron ColliderAstrophysics

Abstract

fetched live from OpenAlex

We present a measurement of the total $WW$ and $WZ$ production cross sections in $p\overline{p}$ collision at $\sqrt{s}=1.96\text{ }\text{ }\mathrm{TeV}$, in a final state consistent with leptonic $W$ boson decay and jets originating from heavy-flavor quarks from either a $W$ or a $Z$ boson decay. This analysis uses the full data set collected with the CDF II detector during Run II of the Tevatron collider, corresponding to an integrated luminosity of $9.4\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$. An analysis of the dijet mass spectrum provides $3.7\ensuremath{\sigma}$ evidence of the summed production processes of either $WW$ or $WZ$ bosons with a measured total cross section of ${\ensuremath{\sigma}}_{WW+WZ}=13.7\ifmmode\pm\else\textpm\fi{}3.9\text{ }\text{ }\mathrm{pb}$. Independent measurements of the $WW$ and $WZ$ production cross sections are allowed by the different heavy-flavor decay patterns of the $W$ and $Z$ bosons and by the analysis of secondary-decay vertices reconstructed within heavy-flavor jets. The productions of $WW$ and of $WZ$ dibosons are independently seen with significances of $2.9\ensuremath{\sigma}$ and $2.1\ensuremath{\sigma}$, respectively, with total cross sections of ${\ensuremath{\sigma}}_{WW}=9.4\ifmmode\pm\else\textpm\fi{}4.2\text{ }\text{ }\mathrm{pb}$ and ${\ensuremath{\sigma}}_{WZ}=3.{7}_{\ensuremath{-}2.2}^{+2.5}\text{ }\text{ }\mathrm{pb}$. The measurements are consistent with standard-model predictions.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.032
GPT teacher head0.322
Teacher spread0.291 · 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".

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Citations7
Published2016
Admission routes2
Has abstractyes

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