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Record W7001995944

Measurement of Z gamma production in p(p)over-bar collisions at root s=1.96 TeV

2010· article· en· W7001995944 on OpenAlexfundno aff

Bibliographic record

VenuePurdue e-Pubs (Purdue University System) · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsnot available
FundersFermilabAlfred P. Sloan FoundationNational Science CouncilNatural Sciences and Engineering Research Council of CanadaIstituto Nazionale di Fisica NucleareCentre National de la Recherche ScientifiqueRussian Foundation for Basic ResearchScience and Technology Facilities CouncilNational Research FoundationNational Research Foundation of KoreaU.S. Department of EnergySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsLeptonPhotonMuonColliderStandard Model (mathematical formulation)BosonBar (unit)Cross section (physics)Electron
DOInot available

Abstract

fetched live from OpenAlex

The production rate and kinematics of photons produced in association with Z bosons are studied using 2 fb(-1) of p (p) over bar collision data collected at the Collider Detector at Fermilab. The cross section for p (p) over bar -> l(+)l(-)gamma + X ( where the leptons l are either muons or electrons with dilepton mass M-ll > 40 GeV/c(2), and where the photon has transverse energy E-T(gamma) > 7 GeV and is well separated from the leptons) is 4.6 +/- 0.2(stat) +/- 0.3 (syst) +/- 0.3 (lum) pb, which is consistent with standard model expectations. We use the photon E-T distribution from Z gamma events where the Z has decayed to mu(+) mu(-) ,e(+) e(-), or nu(+) nu(-) to set limits on anomalous (non standard model) trilinear couplings between photons and Z bosons.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.227
Teacher spread0.213 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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