Search for a CP-odd Higgs boson decaying into a heavy CP-even Higgs boson and a <i>Z</i> boson in the l+l-tt- and vv- bb- final states using 140 fb<sup><i>−</i>1</sup> of data collected with the ATLAS detector
Bibliographic record
Abstract
A search for a heavy CP-odd Higgs boson, A, decaying into a Z boson and a heavy CP-even Higgs boson, H, is presented. It uses the full LHC Run 2 dataset of pp collisions at $ \sqrt{s} $ = 13 TeV collected with the ATLAS detector, corresponding to an integrated luminosity of 140 fb$^{−1}$. The search for A → ZH is performed in the $ {\ell}^{+}{\ell}^{-}t\overline{t} $ and $ \nu \overline{\nu}b\overline{b} $ final states and surpasses the reach of previous searches in different final states in the region with m$_{H}$ > 350 GeV and m$_{A}$ > 800 GeV. No significant deviation from the Standard Model expectation is found. Upper limits are placed on the production cross-section times the decay branching ratios. Limits with less model dependence are also presented as functions of the reconstructed m($ t\overline{t} $) and m($ b\overline{b} $) distributions in the $ {\ell}^{+}{\ell}^{-}t\overline{t} $ and $ \nu \overline{\nu}b\overline{b} $ channels, respectively. In addition, the results are interpreted in the context of two-Higgs-doublet models.[graphic not available: see fulltext]
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".