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Record W7052841503

Standard Model Higgs boson searches in pp collisions at sqrt(s)=7 TeV with the ATLAS detector.

2012· other· en· W7052841503 on OpenAlexaff

Bibliographic record

VenueCERN Document Server (European Organization for Nuclear Research) · 2012
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsTRIUMF
Fundersnot available
KeywordsHiggs bosonAtlas (anatomy)Atlas detectorStandard Model (mathematical formulation)ATLAS experimentBosonLarge Hadron Collider
DOInot available

Abstract

fetched live from OpenAlex

We report on searches for the Standard Model Higgs boson with the ATLAS detector at the LHC. Several production mechanisms and decay channels are considered and a wide range of hypothetical Higgs boson masses explored. The datasets correspo nd to integrated luminosities ranging from 4.6 fb-1 to 4.9 fb-1 of pro ton-proton collisions collected at sqrt(s) = 7 TeV in 2011. At the 95% confi dence level the excluded Higgs boson mass ranges are 111.4 GeV to 116.6 GeV, 119 .4 GeV to 122.1 GeV, and 129.2 GeV to 541 GeV, while the mass range from 120 GeV to 560 GeV is expected to be excluded in the absence of a signal. An excess of events is observed at a Higgs boson mass around 126 GeV with a local significanc e of 2.9sigma. The global probability for the background to produce an excess at least as significant anywhere in the mass range explored corresponds to a si gnificance of approximately 1sigma.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.022
GPT teacher head0.262
Teacher spread0.239 · 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
Published2012
Admission routes1
Has abstractyes

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