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Strong Evidence for<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>Z</mml:mi><mml:mi>Z</mml:mi></mml:math>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:mi>TeV</mml:mi></mml:math>

2008· article· lv· W1807675813 on OpenAlexafffund
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Šforza, A. Cerri, S. H. Chang, Y. C. Chen, M. Chertok, G. Chiarelli, G. Chlachidze, F. Chlebana, K. Cho, D. Chokheli, J. P. Chou, G. Choudalakis, S. H. Chuang, K. Chung, W. H. Chung, Y. S. Chung, C. I. Ciobanu, M. A. Ciocci, A. Clark, D. Clark, G. Compostella, M. E. Convery, J. Conway, B. D. Cooper, K. Copic, M. Cordelli, G. Cortiana, F. Crescioli, C. Cuenca Almenar, J. Cuevas, R. Culbertson, J. C. Cully, D. Dagenhart, M. Datta, T. Davies, P. de Barbaro, S. De Cecco, A. Deisher, G. De Lentdecker, M. Dell’Orso, L. Demortier, J. Deng, M. Deninno, D. De Pedis, P. F. Derwent, G. P. Di Giovanni, C. Dionisi, B. Di Ruzza, J. Dittmann, M. D’Onofrio, S. Donati, P. Dong, J. Donini, T. Dorigo, S. Dube, J. Efron, R. Erbacher, D. Errede, S. Errede, R. Eusebi, H. C. Fang, S. M. Farrington, W. Fedorko, R. G. Feild, M. Feindt, J. P. Fernández, C. Ferrazza, R. D. Field, G. Flanagan, R. Forrest, S. Forrester, M. Franklin, J. Freeman, I. Furic, M. Gallinaro, J. Galyardt, F. Garberson, J. E. Garcia, A. 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Lys, R. Lysák, E. Lytken, P. Mack, D. MacQueen, R. Madrak, K. Maeshima, K. Makhoul, T. Maki, P. Maksimovic, S. Malde, S. Malik, G. Manca, A. Manousakis, F. Margaroli, C. Marino, C. P. Marino, A. Martin, M. Aldaya Martin, V.J. Martin, M. Martı́nez, R. Martínez-Ballarín, T. Maruyama, P. Mastrandrea, T. Masubuchi, M. E. Mattson, P. Mazzanti, K. S. McFarland, P. McIntyre, R. McNulty, A. Mehta, P. Mehtala, S. Menzemer, A. Menzione, P. Merkel, C. Mesropian, A. Messina, T. Miao, N. Miladinovic, J. Miles, Ruth A. Miller, C. Mills, M. Milnik, G. Mitselmakher, H. Miyake, S. Moed, N. Moggi, C. S. Moon, R. W. Moore, M. J. Morello, P. Movilla Fernandez, J. Mülmenstädt, A. Mukherjee, Th. Muller, R. Mumford, P. Murat, M. Mussini, J. Nachtman, Y. Nagai, A. Nagano, J. Naganoma, Koji Nakamura, I. Nakano, A. Napier, V. Necula, C. Neu, M. S. Neubauer, J. Nielsen, L. Nodulman, M. Norman, O. Norniella, E. Nurse, S. H. Oh, Y. D. Oh, I. Oksuzian, T. Okusawa, R. Oldeman, R. Orava, K. Österberg, S. 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Bibliographic record

VenuePhysical Review Letters · 2008
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsMcGill UniversityInstitute of Particle PhysicsUniversity of Toronto
FundersFermilabScience and Technology Facilities CouncilAlfred P. Sloan FoundationNational Science CouncilNatural Sciences and Engineering Research Council of CanadaIstituto Nazionale di Fisica NucleareCentre National de la Recherche ScientifiqueU.S. Department of EnergySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungRussian Foundation for Basic ResearchMinistry of Education, Culture, Sports, Science and TechnologyNational Science Foundation
KeywordsCollider Detector at FermilabPhysicsLuminosityParticle physicsProduction (economics)Order (exchange)Standard Model (mathematical formulation)BosonAlgorithmLarge Hadron ColliderMathematicsAstrophysics

Abstract

fetched live from OpenAlex

We report the first evidence of $Z$ boson pair production at a hadron collider with a significance exceeding 4 standard deviations. This result is based on a data sample corresponding to $1.9\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ of integrated luminosity from $p\overline{p}$ collisions at $\sqrt{s}=1.96\text{ }\text{ }\mathrm{TeV}$ collected with the Collider Detector at Fermilab II detector. In the $\ensuremath{\ell}\ensuremath{\ell}{\ensuremath{\ell}}^{\ensuremath{'}}{\ensuremath{\ell}}^{\ensuremath{'}}$ channel, we observe three $ZZ$ candidates with an expected background of ${0.096}_{\ensuremath{-}0.063}^{+0.092}$ events. In the $\ensuremath{\ell}\ensuremath{\ell}\ensuremath{\nu}\ensuremath{\nu}$ channel, we use a leading-order calculation of the relative $ZZ$ and $WW$ event probabilities to discriminate between signal and background. In the combination of $\ensuremath{\ell}\ensuremath{\ell}{\ensuremath{\ell}}^{\ensuremath{'}}{\ensuremath{\ell}}^{\ensuremath{'}}$ and $\ensuremath{\ell}\ensuremath{\ell}\ensuremath{\nu}\ensuremath{\nu}$ channels, we observe an excess of events with a probability of $5.1\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}6}$ to be due to the expected background. This corresponds to a significance of 4.4 standard deviations. The measured cross section is $\ensuremath{\sigma}(p\overline{p}\ensuremath{\rightarrow}ZZ)={1.4}_{\ensuremath{-}0.6}^{+0.7}(\mathrm{stat}+\mathrm{syst})\text{ }\text{ }\mathrm{pb}$, consistent with the standard model expectation.

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)0.019
metaresearch head score (Gemma)0.094
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 score0.219
Threshold uncertainty score0.733

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.094
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0040.006
Science and technology studies0.0040.004
Scholarly communication0.0070.006
Open science0.0060.005
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.2190.052

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 head0.027
GPT teacher head0.274
Teacher spread0.248 · 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

Citations40
Published2008
Admission routes2
Has abstractyes

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