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Invariant Mass Distribution of Jet Pairs Produced in Association with a<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>W</mml:mi></mml:math>Boson 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>

2011· article· lv· W2199118380 on OpenAlexafffund
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Cho, D. Chokheli, J. P. Chou, W. H. Chung, Y. S. Chung, C. I. Ciobanu, M. A. Ciocci, A. Clark, C. Clarke, 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, M. Dorigo, 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, R. Forrest, M. J. Frank, M. Franklin, J. C. Freeman, Y. Funakoshi, I. Furic, M. Gallinaro, J. Galyardt, F. García, 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, M. Gold, D. Goldin, N. Goldschmidt, A. Golossanov, G. Gómez, G. Gomez Ceballos, M. Goncharov, I. Gorelov, A. T. Goshaw, K. Goulianos, 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, Nazim 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, A. Kasmi, Yuji Katō, 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, M. Kirby, S. Klimenko, K. Kondo, D. J. Kong, J. Konigsberg, A. V. Kotwal, M. Kreps, D. Krop, N. Krumnack, M. Kruse, V. Krutelyov, T. Kuhr, M. Kurata, S. Kwang, A. T. Laasanen, S. Lami, M. Lancaster, R. L. Lander, K. Lannon, A. Lath, G. Latino, T. LeCompte, E. Lee, H. S. Lee, J. S. Lee, S. W. Lee, S. Leo, S. Leone, J. D. Lewis, A. Limosani, 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, 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, Th. Müller, 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, F. Ptohos, E. Pueschel, G. Punzi, J. Pursley, A. Rahaman, V. Ramakrishnan, N. Ranjan, I. Redondo, M. Rescigno, F. Rimondi, L. Ristori, T. Rodrigo, T. Rodriguez, E. Rogers, S. Rolli, R. Roser, M. Rossi, F. Rubbo, F. Ruffini, A. Ruiz-Jimeno, J. Russ, A. Safonov, W. K. Sakumoto, Y. Sakurai, L. Santi, L. Sartori, K. Satô, V. Saveliev, A. Savoy-Navarro, P. Schlabach, A. Schmidt, E. E. Schmidt, M. P. Schmidt, Michael Henry 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. 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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 Letters · 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 ScientifiqueNatural Sciences and Engineering Research Council of CanadaAlfred P. Sloan FoundationNational Science CouncilScience and Technology Facilities CouncilNational Research FoundationNational Research Foundation of KoreaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungU.S. Department of EnergyRussian Foundation for Basic ResearchMinistry of Education, Culture, Sports, Science and TechnologyNational Science Foundation
KeywordsPhysicsInvariant (physics)Invariant massJet (fluid)LuminosityParticle physicsNuclear physicsDistribution (mathematics)Association (psychology)BosonAstrophysicsMathematical physicsMathematical analysisMathematicsThermodynamicsPhilosophy

Abstract

fetched live from OpenAlex

We report a study of the invariant mass distribution of jet pairs produced in association with a W boson using data collected with the CDF detector which correspond to an integrated luminosity of 4.3 fb(-1). The observed distribution has an excess in the 120-160 GeV/c(2) mass range which is not described by current theoretical predictions within the statistical and systematic uncertainties. In this Letter, we report studies of the properties of this excess.

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 score0.038
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0380.005

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 head0.250
Teacher spread0.231 · 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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Citations142
Published2011
Admission routes2
Has abstractyes

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