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Record W3032574812 · doi:10.1103/physrevd.101.091301

Pion beta decay and Cabibbo-Kobayashi-Maskawa unitarity

2020· article· en· W3032574812 on OpenAlexafffund
Andrzej Czarnecki, William J. Marciano, A. Sirlin

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaU.S. Department of EnergyNational Science Foundation
KeywordsPhysicsParticle physicsPionUnitarityHadron

Abstract

fetched live from OpenAlex

Pion beta decay, ${\ensuremath{\pi}}^{+}\ensuremath{\rightarrow}{\ensuremath{\pi}}^{0}{e}^{+}\ensuremath{\nu}(\ensuremath{\gamma})$, provides a theoretically clean $\ifmmode\pm\else\textpm\fi{}0.3%$ determination of the Cabibbo-Kobayashi-Maskawa matrix element ${V}_{\mathrm{ud}}$. Although impressive, that result falls short of super-allowed nuclear beta decays where an order of magnitude better precision already exists. Here, we advocate a new strategy for utilizing pion beta decay, based on its utility in determining ${V}_{\mathrm{us}}/{V}_{\mathrm{ud}}$ via the ratio ${R}_{V}=\mathrm{\ensuremath{\Gamma}}(K\ensuremath{\rightarrow}\ensuremath{\pi}l\ensuremath{\nu}(\ensuremath{\gamma}))/\mathrm{\ensuremath{\Gamma}}({\ensuremath{\pi}}^{+}\ensuremath{\rightarrow}{\ensuremath{\pi}}^{0}{e}^{+}\ensuremath{\nu}(\ensuremath{\gamma}))$ which provides a measure of ${f}_{+}^{K}(0)|{V}_{\mathrm{us}}|/{f}_{+}^{\ensuremath{\pi}}(0)|{V}_{\mathrm{ud}}|$ independent of the Fermi constant and short-distance radiative corrections. Its dependence on the ratio of two hadronic vector current form factors provides an interesting computational goal for lattice gauge theory studies. Employing a recent lattice based value ${f}_{+}^{K}(0)/{f}_{+}^{\ensuremath{\pi}}(0)=0.970(2)$, we find ${V}_{\mathrm{us}}/{V}_{\mathrm{ud}}=0.22910(91)$ compared to ${V}_{\mathrm{us}}/{V}_{\mathrm{ud}}=0.23131(45)$ obtained from ${R}_{A}=\mathrm{\ensuremath{\Gamma}}(K\ensuremath{\rightarrow}\ensuremath{\mu}\ensuremath{\nu}(\ensuremath{\gamma}))/\mathrm{\ensuremath{\Gamma}}(\ensuremath{\pi}\ensuremath{\rightarrow}\ensuremath{\mu}\ensuremath{\nu}(\ensuremath{\gamma}))$. Those independent ${V}_{\mathrm{us}}/{V}_{\mathrm{ud}}$ determinations exhibit a $2.2\ensuremath{\sigma}$ discrepancy. That tension suggests a needed shift in the lattice ${f}_{+}^{K}(0)/{f}_{+}^{\ensuremath{\pi}}(0)$ value towards the consistency range 0.961(4), experimental/theory input changes or ``new physics'' effects. Other features and implications of ${R}_{V}$ and ${R}_{A}$ are 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)0.001
metaresearch head score (Gemma)0.003
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.021
GPT teacher head0.404
Teacher spread0.382 · 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

Citations46
Published2020
Admission routes2
Has abstractyes

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