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Record W4391350728 · doi:10.22323/1.449.0191

Sensitivity for new light, long-lived flavor-changing scalar bosons at DUNE and NA64mu

2024· article· en· W4391350728 on OpenAlexaff
B. Radics

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsYork University
Fundersnot available
KeywordsPhysicsParticle physicsNeutrinoBosonLarge Hadron ColliderScalar (mathematics)MuonLeptonScalar bosonNuclear physicsPhysics beyond the Standard ModelGeometryElectron

Abstract

fetched live from OpenAlex

Neutrino-oscillations motivate the search for new beyond-the-Standard-Model particles that might manifest as light scalar bosons mediating lepton-flavor-changing (LFC) interactions. In a certain class of theories, the light scalar boson could be produced at accelerator neutrino beams, where a high-intensity, high-energy muon flux is expected. An example of such a facility is the Deep Underground Neutrino Experiment (DUNE) using the high-power proton beam at LBNF. If such a particle exists, it could be produced after the DUNE LBNF beam target. If it is long-lived, it could travel a few hundred meters, and it could be detected at the DUNE Liquid Argon Near Detector. In parallel, the existence of such a new LFC scalar boson can also be tested using the 160-GeV muon beam at the fixed target NA64mu experiment at CERN, in a complementary way. In this talk, light long-lived LFC boson signatures and projected sensitivities at DUNE and NA64mu will be presented.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.014
GPT teacher head0.269
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2024
Admission routes1
Has abstractyes

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