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Record W7052537266

Search for the Standard Model Higgs boson in the H → τ + τ − decay mode in s√=7TeV pp collisions with ATLAS

2012· article· en· W7052537266 on OpenAlexfundno aff

Bibliographic record

VenueLancaster EPrints (Lancaster University) · 2012
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesScience and Technology Facilities CouncilState Atomic Energy Corporation ROSATOMMinisterio de Ciencia e InnovaciónConselho Nacional de Desenvolvimento Científico e TecnológicoServices Fédéraux des Affaires Scientifiques, Techniques et CulturellesJavna Agencija za Raziskovalno Dejavnost RSLeverhulme TrustDepartment of Science and Technology, Ministry of Science and Technology, IndiaAgencia Nacional de Promoción Científica y TecnológicaNederlandse Organisatie voor Wetenschappelijk OnderzoekBundesministerium für Wissenschaft und ForschungJoint Institute for Nuclear ResearchNational Science CouncilMinisterstwo Edukacji i NaukiCERNTürkiye Atom Enerjisi KurumuNational Science FoundationTRIUMFFundação para a Ciência e a TecnologiaFundação de Amparo à Pesquisa do Estado de São PauloSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungU.S. Department of Energy
KeywordsHiggs bosonLarge Hadron ColliderBranching fractionAtlas (anatomy)Standard Model (mathematical formulation)LeptonATLAS experimentBoson
DOInot available

Abstract

fetched live from OpenAlex

A search for the Standard Model Higgs boson decaying into a pair of τ leptons is reported. The analysis is based on a data sample of proton-proton collisions collected by the ATLAS experiment at the LHC and corresponding to an integrated luminosity of 4.7 fb−1. No significant excess over the expected background is observed in the Higgs boson mass range of 100–150 GeV. The observed (expected) upper limits on the cross section times the branching ratio for H → τ + τ − are found to be between 2.9 (3.4) and 11.7 (8.2) times the Standard Model prediction for this mass range.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

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

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 head0.025
GPT teacher head0.236
Teacher spread0.211 · 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 teacher head, 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
Published2012
Admission routes1
Has abstractyes

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