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Record W2791891851 · doi:10.22323/1.183.0025

Review of ATLAS Higgs \rightarrow WW Results with 25 fb^ -1 of Data

2014· article· en· W2791891851 on OpenAlexaff
Nikolina Ilic

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAtlas (anatomy)Higgs bosonParticle physicsComputer sciencePhysicsGeology

Abstract

fetched live from OpenAlex

The search for the Higgs boson in the WW channel is presented using data samples collected in 2011 and 2012 with the ATLAS detector [1] at the LHC.The data collected corresponds to 4.6 fb -1 and 20.7 fb -1 collected at a center-of-mass energy of 7 TeV and 8 TeV, respectively.The search focuses on a Higgs boson predicted by the Standard Model and produced by gluon-gluon fusion and vector boson fusion.At a Higgs mass of = 125 GeV, an excess over the expected number of background events is expected to be 3.7 standard deviations, while the observed is 3.8.The ratio of the observed number of events to the expected is = 1.01 ± 0.31 for the combined searches in the channel for 0, 1 and ≥ 2 jet multiplicities.A coupling measurement performed is shown to be consistent with the value predicted by the Standard Model.Finally a spin analysis is described which supports evidence for a Higgs particle of spin 0 + .

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0110.012
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.007

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 head0.024
GPT teacher head0.290
Teacher spread0.267 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2014
Admission routes1
Has abstractyes

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