Heavy Higgs decay to<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>t</mml:mi><mml:mover accent="true"><mml:mrow><mml:mi>t</mml:mi></mml:mrow><mml:mrow><mml:mo stretchy="true">¯</mml:mo></mml:mrow></mml:mover><mml:mi>Z</mml:mi></mml:mrow></mml:math>and constraints on a 750 GeV pseudoscalar
Bibliographic record
Abstract
In models with multiple nondegenerate Higgs bosons, the decay chain $H/A\ensuremath{\rightarrow}A/HZ\ensuremath{\rightarrow}t\overline{t}Z$ may have a partial width comparable to the $t\overline{t}$ decay mode. We recast the ATLAS standard model $t\overline{t}Z$ measurement to put limits on the rate for this process. Limits are also set on the two Higgs doublet model at low $\mathrm{tan}\ensuremath{\beta}$ that are sensitive to a heavy Higgs mass as high as $\ensuremath{\sim}750\text{ }\text{ }\mathrm{GeV}$. We then discuss the 750 GeV diphoton excess in terms of a pseudoscalar that also has the decays $A\ensuremath{\rightarrow}HZ$ and $A\ensuremath{\rightarrow}{H}^{\ifmmode\pm\else\textpm\fi{}}{W}^{\ensuremath{\mp}}$. These decays strongly constrain the partial widths for $A\ensuremath{\rightarrow}\ensuremath{\gamma}\ensuremath{\gamma}$ and $A\ensuremath{\rightarrow}gg$ when combined with the $t\overline{t}$ resonance search limits. In a benchmark model the mass of $H$ should be close to 650 GeV.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.097 | 0.026 |
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".