MétaCan
Menu
← Back to cohort
Record W7067520692

Measurement of the absolute branching fractions for Ds-ââ<sup>-</sup>ν<inf>Ìâ</inf>and extraction of the decay constant fD<inf>s</inf>

2010· article· en· W7067520692 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
FundersSLAC National Accelerator LaboratoryInstitut National de Physique Nucléaire et de Physique des ParticulesCentre National de la Recherche ScientifiqueBundesministerium für Bildung und ForschungScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaEuropean CommissionAlfred P. Sloan FoundationDeutsche ForschungsgemeinschaftU.S. Department of EnergyNational Science Foundation
KeywordsBranching fractionBranching (polymer chemistry)MesonPionLuminosityDetectorParticle decay
DOInot available

Abstract

fetched live from OpenAlex

The absolute branching fractions for the decays Ds-→ℓ - ν ̄ℓ (ℓ=e, μ, or τ) are measured using a data sample corresponding to an integrated luminosity of 521fb - 1 collected at center-of-mass energies near 10.58 GeV with the BABAR detector at the PEP-II e + e - collider at SLAC. The number of Ds- mesons is determined by reconstructing the recoiling system DKXγ in events of the type e + e - →DKXDs*-, where Ds*-→Ds-γ and X represents additional pions from fragmentation. The Ds-→ℓ - ν ℓ events are detected by full or partial reconstruction of the recoiling system DKXγℓ. The branching fraction measurements are combined to determine the Ds- decay constant fD s =(258.6±6.4±7.5)MeV, where the first uncertainty is statistical and the second is systematic. © 2010 The American Physical Society.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.204
Teacher spread0.178 · 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 designBench or experimental
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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueeScholarship (California Digital Library)→Same topicDiverse Scientific and Economic Studies→French-language works237,207→