MétaCan
Menu
Back to cohort
Record W2884332812 · doi:10.1007/jhep10(2018)015

Neutrino masses and gauged U(1)ℓ lepton number

2018· article· en· W2884332812 on OpenAlexafffund

Bibliographic record

VenueJournal of High Energy Physics · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsTRIUMF
FundersTRIUMF
KeywordsLeptonNeutrinoLepton numberPhenomenology (philosophy)Neutrino oscillationSterile neutrinoCollider

Abstract

fetched live from OpenAlex

Abstract We investigate the tree-level neutrino mass generation in the gauged U(1) ℓ lepton model recently proposed by us [1]. With the addition of one Standard Model(SM) singlet, ϕ 1(Y = 0, ℓ = 1), and one SM triplet scalar, T (Y = −1, ℓ = 0), realistic lepton masses can be accommodated. The resulting magnitude of neutrino mass is given by ∼ v t 3 /v L 2 , where v t and v L are the vacuum expectation values of T and ϕ 1, respectively, and it is automatically of the inverse see-saw type. Since v L is the lepton number violation scale we take it to be high, i.e. O ≳ (TeV). Moreover, the induced lepton flavor violating processes and the phenomenology of the peculiar triplet are studied. An interesting bound, 0.1 ≲ v t ≲ 24.1 GeV, is obtained when taking into account the neutrino mass generation, Br(μ → eγ), and the limits from oblique parameters, ΔS and ΔT. Collider phenomenology of the SM triplets is also discussed.

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)0.000
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.279
Teacher spread0.265 · 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

Citations2
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueJournal of High Energy PhysicsSame topicNeutrino Physics ResearchFrench-language works237,207