Search for flavour-changing neutral tqH interactions with H → γγ in pp collisions at $$ \sqrt{s} $$ = 13 TeV using the ATLAS detector
Bibliographic record
Abstract
A bstract A search for flavour-changing neutral interactions involving the top quark, the Higgs boson and an up-type quark q ( q = c, u ) is presented. The proton-proton collision data set used, with an integrated luminosity of 139 fb − 1 , was collected at $$ \sqrt{s} $$ s = 13 TeV by the ATLAS experiment at the Large Hadron Collider. Both the decay process t → qH in $$ t\overline{t} $$ t t ¯ production and the production process pp → tH , with the Higgs boson decaying into two photons, are investigated. No significant excess is observed and upper limits are set on the t → cH and the t → uH branching ratios of 4 . 3 × 10 − 4 and 3 . 8 × 10 − 4 , respectively, at the 95% confidence level, while the expected limits in the absence of signal are 4 . 7 × 10 − 4 and 3 . 9 × 10 − 4 . Combining this search with ATLAS searches in the H → τ + τ − and H → $$ b\overline{b} $$ b b ¯ final states yields observed (expected) upper limits on the t → cH branching ratio of 5 . 8 × 10 − 4 (3 . 0 × 10 − 4 ) at the 95% confidence level. The corresponding observed (expected) upper limit on the t → uH branching ratio is 4 . 0 × 10 − 4 (2 . 4 × 10 − 4 ).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".