Search for charged Higgs bosons produced in top-quark decays or in association with top quarks and decaying via H± → ι± ντ in 13 TeV pp collisions with the ATLAS detector
Bibliographic record
Abstract
Charged Higgs bosons produced either in top-quark decays or in association with a top quark, subsequently decaying via \( H^\pm \rightarrow \tau^\pm \nu_\tau \), are searched for in 140\,fb\(^{-1}\) of proton-proton collision data at \(\sqrt{s} = 13\,\text{TeV}\) recorded with the ATLAS detector. Depending on whether the top quark is produced together with the \( H^\pm \) decays hadronically or semileptonically, the search targets \(\tau + \text{jets}\) or \(\tau + \text{lepton}\) final states, in both cases with a \(\tau\)-lepton decaying into a neutrino and hadrons. No significant excess over the Standard Model background expectation is observed. For the mass range of \(80 \leq m_{H^\pm} \leq 3000\,\text{GeV}\), upper limits at 95\% confidence level are set on the production cross section of the charged Higgs boson times the branching fraction \(\mathcal{B}(H^\pm \rightarrow \tau^\pm \nu_\tau)\) in the range 4.5 pb–0.4 fb. In the mass range 80–160 GeV, assuming the Standard Model cross section for \(t\overline{t}\) production, this corresponds to upper limits between 0.27\% and 0.02\% on \(\mathcal{B}(t \rightarrow b H^\pm) \times \mathcal{B}(H^\pm \rightarrow \tau^\pm \nu_\tau)\).
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".