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Record W1923120508

A search for resonance decays to lepton+jet at HERA and limits

2003· article· en· W1923120508 on OpenAlexfundno aff
S. Chekanov, P. Kooijman

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2003
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersDeutsches Elektronen-SynchrotronNuclear PhysicsNatural Sciences and Engineering Research Council of CanadaKorea Science and Engineering FoundationBundesministerium für Bildung und ForschungStrongHigh Energy PhysicsFundação para a Ciência e a TecnologiaU.S. Department of EnergyRussian Foundation for Basic ResearchMinistry of Education, Culture, Sports, Science and TechnologyNational Science Foundation
KeywordsPhysicsHERAParticle physicsLeptonResonance (particle physics)Jet (fluid)Nuclear physicsQuantum chromodynamicsElectron
DOInot available

Abstract

fetched live from OpenAlex

A search for narrow-width resonances that decay into electronϩjet or neutrinoϩjet has been performed with the ZEUS detector at the DESY ep collider HERA operating at center-of-mass energies of 300 and 318 GeV.An integrated e ϩ p luminosity of 114.8 pb Ϫ1 and e Ϫ p luminosity of 16.7 pb Ϫ1 were used.No evidence for any resonance was found.Limits were derived on the Yukawa coupling as a function of the mass of a hypothetical resonance that has arbitrary decay branching ratios into eq or q.These limits also apply to squarks predicted by R-parity-violating supersymmetry.Limits for the production of leptoquarks described by the Buchmu ¨ller-Ru ¨ckl-Wyler model were also derived for masses up to 400 GeV.For ϭ0.1, leptoquark masses up to 290 GeV are excluded.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.025
GPT teacher head0.286
Teacher spread0.261 · 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

Citations1
Published2003
Admission routes1
Has abstractno

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