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Record W4403369780 · doi:10.1007/jhep01(2025)123

Highly excited B, Bs and Bc meson spectroscopy from lattice QCD

2025· preprint· en· W4403369780 on OpenAlexaff
Luke Gayer, Sinéad M. Ryan, David J. Wilson

Bibliographic record

VenueJournal of High Energy Physics · 2025
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicQuantum Chromodynamics and Particle Interactions
Canadian institutionsTrinity CollegeMcMaster Divinity College
FundersNuclear PhysicsAdvanced Scientific Computing ResearchEngineering and Physical Sciences Research CouncilOffice of ScienceScience and Technology Facilities CouncilNational Nuclear Security AdministrationDell EMCIrish Research CouncilScience Foundation IrelandU.S. Department of Energy
KeywordsPhysicsLattice QCDMultipletExcited stateMesonQuantum numberQuarkParticle physicsLattice (music)Spectral lineSpectroscopyQuantum chromodynamicsAnisotropyB mesonAtomic physicsQuantum mechanics

Abstract

fetched live from OpenAlex

A bstract Excited state spectra of B , B s and B c mesons are computed using lattice QCD. Working with a large basis of carefully constructed, approximately-local $$ q\overline{q} $$ q q ¯ -like operators we determine a rich spectrum of states up to J = 4 in B , B s and B c , that can be grouped into patterns matching those of the quark model. In addition, hybrid-like states are identified at approximately 1500 MeV above the ground states in each of B , B s and B c , in a multiplet pattern already found in similar computations at a range of quark masses spanning light to bottom. This study is performed using an anisotropic, relativistic Wilson-clover action at a single spatial lattice spacing of a s ≈ 0.12 fm and with a light-quark mass corresponding to m π ≈ 391 MeV. We find good agreement with experimental results where known and discuss prospects for further work in interesting J P quantum numbers.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.010
GPT teacher head0.262
Teacher spread0.252 · 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 designSimulation or modeling
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

Citations3
Published2025
Admission routes1
Has abstractyes

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