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Record W6996435203

Search for high-mass states with one lepton plus missing transverse momentum in protonâproton collisions at s=7 TeV with the ATLAS detector

2011· article· en· W6996435203 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesComisión Nacional de Investigación Científica y TecnológicaH. Lundbeck A/SServices Fédéraux des Affaires Scientifiques, Techniques et CulturellesNatural Sciences and Engineering Research Council of CanadaBundesministerium für Wissenschaft und ForschungCentre National de la Recherche ScientifiqueIsrael Science FoundationMax-Planck-GesellschaftLundbeckfondenBundesministerium für Bildung und ForschungFundação de Amparo à Pesquisa do Estado de São PauloAgencia Nacional de Promoción Científica y TecnológicaGeneral Secretariat for Research and TechnologyAlexander von Humboldt-StiftungDanmarks GrundforskningsfondCERNDeutsche ForschungsgemeinschaftConselho Nacional de Desenvolvimento Científico e TecnológicoNational Natural Science Foundation of ChinaDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)European Commission
KeywordsLarge Hadron ColliderLeptonStandard Model (mathematical formulation)BosonAtlas detectorLuminosityAtlas (anatomy)Detector
DOInot available

Abstract

fetched live from OpenAlex

© 2011 CERN The ATLAS detector is used to search for high-mass states, such as heavy charged gauge bosons (W ′ ,W ⁎ ), decaying to a charged lepton (electron or muon) and a neutrino. Results are presented based on the analysis of pp collisions at a center-of-mass energy of 7 TeV corresponding to an integrated luminosity of 36 pb −1 . No excess beyond standard model expectations is observed. A W ′ with sequential standard model couplings is excluded at 95% confidence level for masses below 1.49 TeV, and a W ⁎ (charged chiral boson) for masses below 1.35 TeV.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
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 head0.020
GPT teacher head0.224
Teacher spread0.204 · 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 designObservational
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
Published2011
Admission routes1
Has abstractyes

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