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Search for Associated<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>W</mml:mi></mml:math>and Higgs Boson Production 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:mtext> </mml:mtext><mml:mi>TeV</mml:mi></mml:math>
V. M. Abazov, B. Abbott, M. Abolins, B. S. Acharya, M. Adams, T. Adams, E. Aguiló, M. Ahsan, G. D. Alexeev, G. Alkhazov, G. Alverson, G. A. Alves, M. Anastasoaie, L. S. Ancu, T. Andeen, B. Andrieu, M. S. Anzelc, M. Aoki, Y. Arnoud, M. Arov, M. Arthaud, A. Askew, B. Åsman, A. C. S. Assis Jesus, O. Atramentov, C. Ávila, F. Badaud, L. Bagby, B. Baldin, D. V. Bandurin, P. Banerjee, S. Banerjee, E. Barberis, A.-F. Barfuss, P. Bargassa, P. Baringer, 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, I. A. Bertram, M. Besançon, R. Beuselinck, V. A. Bezzubov, P. C. Bhat, V. Bhatnagar, C. Biscarat, G. Blazey, F. Blekman, S. Blessing, K. Bloom, A. Boehnlein, D. Boline, T. A. Bolton, E. Boos, G. Borissov, T. Bose, A. Brandt, R. Brock, G. Brooijmans, A. Bross, D. Brown, X. B. Bu, N. J. Buchanan, D. Buchholz, M. Buehler, V. Buescher, V. Bunichev, S. Burdin, T. H. Burnett, C. P. Buszello, J. M. Butler, P. Calfayan, S. Calvet, J. Cammin, E. Carrera Jarrin, W. Carvalho, H. Castilla-Valdez, S. Chakrabarti, D. Chakraborty, K. M. Chan, A. Chandra, E. Cheu, F. Chevallier, D. K. Cho, S. Choi, B. C. Choudhary, L. Christofek, T. Christoudias, S. Cihangir, D. R. Claes, J. Clutter, M. Cooke, W. E. Cooper, M. Corcoran, F. Couderc, M.-C. Cousinou, S. Cŕéṕe-Renaudin, V. Cuplov, D. Cutts, M. Ćwiok, H. da Motta, A. Das, G. Davies, K. De, S. J. de Jong, E. De La Cruz–Burelo, C. De Oliveira Martins, K. DeVaughan, J. Degenhardt, F. Déliot, M. Demarteau, R. Demina, D. Denisov, S. P. Denisov, S. Desai, H. T. Diehl, M. Diesburg, A. Dominguez, H. Dong, T. Dorland, A. Dubey, L. Dudko, L. Duflot, S. R. Dugad, D. Duggan, A. Duperrin, J. Dyer, A. Dyshkant, M. Eads, D. Edmunds, J. Ellison, V. D. Elvira, Y. Enari, S. C. Eno, P. Ermolov, H. Evans, A. Evdokimov, В. Н. Евдокимов, A. V. Ferapontov, T. Ferbel, F. Fiedler, F. Filthaut, W. C. Fisher, H. E. Fisk, M. Fortner, H. Fox, S. Fu, S. Fuess, T. Gadfort, Cristina Galea, C. Garcı́a, A. Garcia-Bellido, V. Gavrilov, P. Gay, W. Geist, W. Geng, C. E. Gerber, Y. Gershtein, D. T. Gil, G. Ginther, N. Gollub, B. Gómez, A. G. Goussiou, P. D. Grannis, H. Greenlee, Z. D. Greenwood, E. M. Gregores, G. Grenier, Ph. Gris, J.-F. Grivaz, A. Grohsjean, S. Grünendahl, M. Grünewald, F. Guo, J. Guo, G. Gutiérrez, P. Gutierrez, A. Haas, N. J. Hadley, P. Haefner, S. Hagopian, J. Haley, I. Hall, R. E. Hall, L. Han, K. Harder, A. Harel, J. M. Hauptman, J. Hays, T. Hebbeker, D. Hedin, J. G. Hegeman, A. P. Heinson, U. Heintz, C. Hensel, K. Herner, G. Hesketh, M. D. Hildreth, R. Hirosky, J. D. Hobbs, B. Hoeneisen, H. Hoeth, M. Hohlfeld, S. Hossain, P. Houben, Y. Hu, Z. Hubáček, V. Hynek, I. Iashvili, R. Illingworth, A. S. Ito, S. Jabeen, M. Jaffré, S. Jain, K. Jakobs, C. Jarvis, R. Jesik, K. A. Johns, C. A. Johnson, M. Johnson, D. Johnston, A. Jonckheere, P. Jonsson, E. Kajfasz, J. M. Kalk, D. Karmanov, P. A. Kasper, I. Katsanos, D. Kau, V. Kaushik, R. Kehoe, S. Kermiche, N. Khalatyan, A. Khanov, A. Kharchilava, Y. M. Kharzheev, D. Khatidze, T. J. Kim, M. H. Kirby, M. Kirsch, B. Klima, J. M. Kohli, J.‐P. Konrath, A. V. Kozelov, J. Kraus, T. Kühl, A. Kumar, A. Kupčo, T. Kurča, V. A. Kuzmin, J. Kvita, F. Lacroix, D. Lam, S. Lammers, G. Landsberg, P. Lebrun, W. M. Lee, A. Leflat, J. Lellouch, J. Li, L. Li, Q. Li, S. M. Lietti, J. K. Lim, J. G. R. Lima, D. Lincoln, J. Linnemann, V. V. Lipaev, R. Lipton, Y. Liu, Z. Liu, A. Lobodenko, M. Lokajı́ček, P. Love, H. J. Lubatti, R. Luna, A. L. Lyon, A. K. A. Maciel, D. Mackin, R. J. Madaras, P. Mättig, C. Magass, A. Magerkurth, P. Mal, H. B. Malbouisson, S. Malik, V. L. Malyshev, Y. Maravin, B. Martin, R. McCarthy, A. Melnitchouk, L. Mendoza, P. G. Mercadante, M. Merkin, K. W. Merritt, A. Meyer, J. Meyer, J. Mitrevski, R. K. Mommsen, N. K. Mondal, R. W. Moore, T. Moulik, G. S. Muanza, M. Mulhearn, O. Mundal, L. Mundim, M. Naimuddin, M. Narain, N. A. Naumann, H. A. Neal, J. P. Negret, P. Neustroev, H. Nilsen, H. Nogima, S. F. Novaes, T. Nunnemann, V. O’Dell, D. C. O’Neil, G. Obrant, C. Ochando, D. Onoprienko, N. Oshima, N. Osman, J. Osta, R. Otec, G. J. Otero y Garzón, M. Owen, P. Padley, M. Pangilinan, N. Parashar, S.-J. Park, Sung Keun Park, J. A. Parsons, R. Partridge, N. Parua, A. Patwa, G. Pawloski, B. Penning, M. Perfilov, Κ. Peters, Y. 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, P. Polozov, B. G. Pope, А. В. Попов, C. T. Potter, W. L. Prado Da Silva, H. Prosper, S. Protopopescu, J. Qian, A. Quadt, B. Quinn, A. Rakitine, M. S. Rangel, K. Ranjan, P. N. Ratoff, P. Renkel, P. Rich, J. Rieger, M. Rijssenbeek, I. Ripp-Baudot, F. Rizatdinova, S. Robinson, R. F. Rodrigues, M. Rominsky, C. Royon, P. Rubinov, R. Ruchti, G. Safronov, G. Sajot, A. Sánchez-Hernández, M. P. Sanders, B. Sanghi, G. Savage, L. Sawyer, T. Scanlon, D. Schaile, R. D. Schamberger, Y. Scheglov, H. Schellman, T. Schliephake, S. Schlobohm, C. Schwanenberger, R. Schwienhorst, J. Sekaric, H. Severini, E. Shabalina, M. Shamim, V. Shary, A. A. Shchukin, R. K. Shivpuri, V. Siccardi, V. Šimák, V. Sirotenko, P. Skubic, P. Slattery, D. Smirnov, G. R. Snow, J. Snow, S. Söldner‐Rembold, L. Sonnenschein, A. Sopczak, M. Sosebee, K. Soustružnı́k, B. Spurlock, J. Stark, J. Steele, V. Stolin, D. A. Stoyanova, J. Strandberg, S. Strandberg, M. A. Strang, E. Strauß, M. Strauss, R. Ströhmer, D. Strom, L. Stutte, S. Sumowidagdo, P. Svoisky, A. Sznajder, P. Tamburello, A. J. Tanasijczuk, W. Taylor, B. Tiller, F. Tissandier, M. Titov, V. V. Tokmenin, I. Torchiani, D. Tsybychev, B. Tuchming, C. Tully, P. M. Tuts, R. Unalan, S. Uvarov, S. Uzunyan, B. Vachon, P. J. van den Berg, R. Van Kooten, W. M. van Leeuwen, N. Varelas, E. W. Varnes, I. A. Vasilyev, P. Verdier, L. S. Vertogradov, M. Verzocchi, D. Vilanova, F. Villeneuve-Seguier, P. Vint, P. Vokac, M. Voutilainen, R. G. Wagner, H. D. Wahl, M. Wang, J. Warchol, G. Watts, M. Wayne, G. Weber, M. Weber, L. Welty-Rieger, Andreas Wenger, N. Wermes, M. Wetstein, A. White, D. Wicke, M. Williams, G. Wilson, S. J. Wimpenny, M. Wobisch, D. Wood, T. R. Wyatt, Y. Xie, S. Yacoob, R. Yamada, W.-C. Yang, T. Yasuda, Y. A. Yatsunenko, H. Yin, K. Yip, H. D. Yoo, S. W. Youn, J. Yu, C. Zeitnitz, S. Zelitch, T. Zhao, B. Zhou, J. Zhu, M. Zieliński, D. Ziemińska, A. Ziemiński, L. Živković, V. Zutshi, E. G. Zverev
Bibliographic record
VenuePhysical Review Letters · 2009
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversity of Alberta
FundersScience and Technology Facilities Council
KeywordsHiggs bosonFermilabTevatronParticle physicsPhysicsLeptonProduction (economics)BosonNeutrinoNuclear physicsAlgorithmComputer scienceLarge Hadron Collider
Abstract
We present results of a search for $WH\ensuremath{\rightarrow}\ensuremath{\ell}\ensuremath{\nu}b\overline{b}$ production in $p\overline{p}$ collisions based on the analysis of $1.05\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ of data collected by the D0 experiment at the Fermilab Tevatron, using a neural network for separating the signal from backgrounds. No signal-like excess is observed, and we set 95% C.L. upper limits on the $WH$ production cross section multiplied by the branching ratio for $H\ensuremath{\rightarrow}b\overline{b}$ for Higgs boson masses between 100 and 150 GeV. For a mass of 115 GeV, we obtain an observed (expected) limit of 1.5 (1.4) pb, a factor of 11.4 (10.7) times larger than the standard model prediction.
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)0.001
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: none
Teacher disagreement score0.171
Threshold uncertainty score0.573
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.171 | 0.081 |
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 head0.020
GPT teacher head0.268
Teacher spread0.249 · 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
Citations23
Published2009
Admission routes1
Has abstractyes