Combination of searches for Higgs boson pair production in $pp$ collisions at $\\sqrt{s}$ = 13~\\TeV\\ with the ATLAS detector.
Bibliographic record
Abstract
This note presents a combination of searches for Higgs boson pair production using the ATLAS Run~2 datasets. The upper limit on the production rate at 95\\% confidence level (CL) is 2.9 times the Standard Model (SM) prediction, with an expected limit of 2.4 assuming no Higgs boson pair production. Constraints on the Higgs boson self-coupling modifier, $\\kappa_{\\lambda}=\\lambda_{HHH}/\\lambda_{HHH}^\\mathrm{SM}$, and the quartic $HHVV$ coupling modifier, $\\kappa_{2V}=g_{HHVV}/g_{HHVV}^\\mathrm{SM}$, are derived individually, fixing the other parameter to its SM value. The observed constraints are $-1.2 < \\kappa_{\\lambda} < 7.2$ and $0.57 < \\kappa_{2V} < 1.48$ at 95\\% CL, with expected values of $-1.6 < \\kappa_{\\lambda} < 7.2$ and $0.41 < \\kappa_{2V} < 1.65$ in the SM case. Strongest constraints to date are provided on several effective interactions within the Higgs Effective Field Theory, offering insights into potential deviations from SM predictions.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".