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Record W6939100785 · doi:10.60692/3hvry-h5z29

Observation and measurement of Higgs boson decays toWW*with the ATLAS detector

2015· article· en· W6939100785 on OpenAlexaff

Bibliographic record

VenueGreater South Information System · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversité de MontréalInstitute of Particle PhysicsUniversity of VictoriaUniversity of Toronto
Fundersnot available
KeywordsHiggs bosonBranching fractionLuminosityAtlas (anatomy)Standard Model (mathematical formulation)Atlas detectorLarge Hadron ColliderFusionFiducial marker

Abstract

fetched live from OpenAlex

We report the observation of Higgs boson decays to $W{W}^{*}$ based on an excess over background of 6.1 standard deviations in the dilepton final state, where the Standard Model expectation is 5.8 standard deviations. Evidence for the vector-boson fusion (VBF) production process is obtained with a significance of 3.2 standard deviations. The results are obtained from a data sample corresponding to an integrated luminosity of $25\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ from $\sqrt{s}=7$ and 8 TeV $pp$ collisions recorded by the ATLAS detector at the LHC. For a Higgs boson mass of 125.36 GeV, the ratio of the measured value to the expected value of the total production cross section times branching fraction is $1.0{9}_{\ensuremath{-}0.15}^{+0.16}{(\mathrm{stat})}_{\ensuremath{-}0.14}^{+0.17}(\text{syst})$. The corresponding ratios for the gluon fusion and vector-boson fusion production mechanisms are $1.02\ifmmode\pm\else\textpm\fi{}0.19{(\mathrm{stat})}_{\ensuremath{-}0.18}^{+0.22}(\text{syst})$ and $1.2{7}_{\ensuremath{-}0.40}^{+0.44}{(\mathrm{stat})}_{\ensuremath{-}0.21}^{+0.30}(\text{syst})$, respectively. At $\sqrt{s}=8\text{ }\text{ }\mathrm{TeV}$, the total production cross sections are measured to be $\ensuremath{\sigma}(gg\ensuremath{\rightarrow}H\ensuremath{\rightarrow}W{W}^{*})=4.6\ifmmode\pm\else\textpm\fi{}0.9{(\mathrm{stat})}_{\ensuremath{-}0.7}^{+0.8}(\text{syst})\text{ }\text{ }\mathrm{pb}$ and $\ensuremath{\sigma}(\mathrm{V}\mathrm{B}\mathrm{F} H\ensuremath{\rightarrow}W{W}^{*})=0.5{1}_{\ensuremath{-}0.15}^{+0.17}{(\mathrm{stat})}_{\ensuremath{-}0.08}^{+0.13}(\text{syst})\text{ }\text{ }\mathrm{pb}$. The fiducial cross section is determined for the gluon-fusion process in exclusive final states with zero or one associated jet.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.054
GPT teacher head0.219
Teacher spread0.165 · 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
Published2015
Admission routes1
Has abstractyes

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