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Record W2047756197 · doi:10.1103/physrevd.87.034503

Direct determination of the strange and light quark condensates from full lattice QCD

2013· article· en· W2047756197 on OpenAlexaff
Craig McNeile, Alexei Bazavov, C. T. H. Davies, R. J. Dowdall, K. Hornbostel, G. Peter Lepage, Howard D. Trottier

Bibliographic record

VenuePhysical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsSimon Fraser UniversityTRIUMF
FundersU.S. Department of EnergyScience and Technology Facilities CouncilNational Science Foundation
KeywordsPhysicsParticle physicsQuarkStrange quarkLattice QCDQuantum chromodynamicsChiral perturbation theoryQCD vacuumNuclear physics

Abstract

fetched live from OpenAlex

We determine the strange quark condensate from lattice QCD for the first time and compare its value to that of the light quark and chiral condensates. The results come from a direct calculation of the expectation value of the trace of the quark propagator followed by subtraction of the appropriate perturbative contribution, derived here, to convert the non-normal-ordered $m\overline{\ensuremath{\psi}}\ensuremath{\psi}$ to the $\overline{\mathrm{MS}}$ scheme at a fixed scale. This is then a well-defined physical ``nonperturbative'' condensate that can be used in the operator product expansion of current-current correlators. The perturbative subtraction is calculated through $\mathcal{O}({\ensuremath{\alpha}}_{s})$ and estimates of higher order terms are included through fitting results at multiple lattice spacing values. The gluon field configurations used are ``second generation'' ensembles from the MILC collaboration that include $2+1+1$ flavors of sea quarks implemented with the highly improved staggered quark action and including $u/d$ sea quarks down to physical masses. Our results are $⟨\overline{s}s{⟩}^{\overline{\mathrm{MS}}}(2\text{ }\text{ }\mathrm{GeV})=\ensuremath{-}(290(15)\text{ }\text{ }\mathrm{MeV}{)}^{3}$, $⟨\overline{l}l{⟩}^{\overline{\mathrm{MS}}}(2\text{ }\text{ }\mathrm{GeV})=\ensuremath{-}(283(2)\text{ }\text{ }\mathrm{MeV}{)}^{3}$, where $l$ is a light quark with mass equal to the average of the $u$ and $d$ quarks. The strange to light quark condensate ratio is 1.08(16). The light quark condensate is significantly larger than the chiral condensate in line with expectations from chiral analyses. We discuss the implications of these results for other calculations.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.311
Teacher spread0.295 · 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

Citations116
Published2013
Admission routes1
Has abstractyes

Explore more

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