Multilepton signatures of a hidden sector in rare<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>B</mml:mi></mml:math>decays
Bibliographic record
Abstract
We explore the sensitivity of flavor-changing $b\ensuremath{\rightarrow}s$ transitions to a (sub-) GeV hidden sector with generic couplings to the standard model through the Higgs, vector, and axion portals. The underlying two-body decays of $B$ mesons, $B\ensuremath{\rightarrow}{X}_{s}\mathcal{S}$, and ${B}^{0}\ensuremath{\rightarrow}\mathcal{S}\mathcal{S}$, where $\mathcal{S}$ denotes a generic new GeV-scale particle, may significantly enhance the yield of monochromatic lepton pairs in the final state via prompt $\mathcal{S}\ensuremath{\rightarrow}l\overline{l}$ decays. Existing measurements of the charged lepton spectrum in neutral-current semileptonic $B$ decays provide bounds on the parameters of the light sector that are significantly more stringent than the requirements of naturalness. New search modes, such as $B\ensuremath{\rightarrow}{X}_{s}+n(l\overline{l})$ and ${B}^{0}\ensuremath{\rightarrow}n(l\overline{l})$ with $n\ensuremath{\ge}2$, can provide additional sensitivity to scenarios in which both the Higgs and vector portals are active, and are accessible to (super-) $B$ factories and hadron colliders.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".