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Record W1982517681 · doi:10.1103/physrevd.90.115004

Explaining the CMS Higgs flavor-violating decay excess

2014· article· en· W1982517681 on OpenAlexfundno aff
D. Aristizábal Sierra, Avelino Vicente

Bibliographic record

VenuePhysical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersNuclear Fuel Cycle and Supply ChainFundação para a Ciência e a TecnologiaFonds De La Recherche Scientifique - FNRSCanadian Mathematical Society
KeywordsParticle physicsPhysicsHiggs bosonLeptonBranching fractionElectroweak interactionPhysics beyond the Standard ModelScalar (mathematics)Standard Model (mathematical formulation)BosonMissing energySignal strengthType (biology)SigmaNuclear physicsElectronQuantum mechanics

Abstract

fetched live from OpenAlex

Direct searches for lepton flavor-violating Higgs boson decays in the $\ensuremath{\tau}\ensuremath{\mu}$ channel have recently been reported by the CMS Collaboration. The results display a slight excess of signal events with a significance of $2.5\ensuremath{\sigma}$, which translates into a branching ratio of about 1%. By interpreting these findings as a hint for beyond the standard model physics, we show that the Type-III 2HDM is capable of reproducing such a signal while at the same time satisfying from below boundedness of the scalar potential, perturbativity, electroweak precision data, measured Higgs standard decay modes, and low-energy lepton flavor-violating constraints. We have found that the allowed signal strength ranges for the $b\overline{b}$, $W{W}^{*}$, and $Z{Z}^{*}$ standard channels shrink as soon as $\mathrm{BR}(h\ensuremath{\rightarrow}\ensuremath{\tau}\ensuremath{\mu})\ensuremath{\sim}1%$ is enforced. Thus, we point out that if the excess persists, improved measurements of these channels may be used to test our Type-III 2HDM scenario.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.329
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations101
Published2014
Admission routes1
Has abstractyes

Explore more

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