Determination of the Relative Sign of the Higgs Boson Couplings to W and Z Bosons Using WH Production via Vector-Boson Fusion with the ATLAS Detector
Bibliographic record
Abstract
The associated production of Higgs and \( \mathcal{W} \) bosons via vector-boson fusion is highly sensitive to the relative sign of the Higgs boson couplings to \( \mathcal{W} \) and \( \mathcal{Z} \) bosons. In this Letter, two searches for this process are presented, using \( 140 \, \text{fb}^{-1} \) of proton-proton collision data at \( \sqrt{s} = 13 \, \text{TeV} \) recorded by the ATLAS detector at the LHC. The first search targets scenarios with opposite-sign couplings of the \( \mathcal{W} \) and \( \mathcal{Z} \) bosons to the Higgs boson, while the second targets standard model-like scenarios with same-sign couplings. Both analyses consider Higgs boson decays into a pair of \( b \) quarks and \( \mathcal{W} \) boson decays with an electron or muon. The data exclude the opposite-sign coupling hypothesis with a significance beyond \( 5\sigma \), and the observed (expected) upper limit set on the cross section for vector-boson fusion \( \mathcal{W} \mathcal{H} \) production is 9.0 (8.7) times the standard model value at 95\% confidence level.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".