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Record W7024859403

Study of dipion bottomonium transitions and search for the h b(1P) state

2011· article· en· W7024859403 on OpenAlexfundno aff

Bibliographic record

VenueDigital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEvolution and Genetic Dynamics
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 CouncilAlfred P. Sloan FoundationNatural Sciences and Engineering Research Council of CanadaU.S. Department of EnergyEuropean CommissionDeutsche ForschungsgemeinschaftMinisterio de Economía y CompetitividadNational Science Foundation
KeywordsBranching fractionInvariant massMeasure (data warehouse)Branching (polymer chemistry)Limit (mathematics)Mass fractionMass distribution
DOInot available

Abstract

fetched live from OpenAlex

We study inclusive dipion decays using a sample of 108×106Υ(3S) events recorded with the BABAR detector. We search for the decay mode Υ(3S)→π+π-hb(1P) and find no evidence for the bottomonium spin-singlet state hb(1P) in the invariant mass distribution recoiling against the π+π - system. Assuming the hb(1P) mass to be 9.900GeV/c2, we measure the upper limit on the branching fraction B[Υ(3S) →π+π-hb(1P)]<1.2×10 -4, at 90% confidence level. We also investigate the χbJ(2P)→π+π -χbJ(1P), Υ(3S)→π+π -Υ(2S), and Υ(2S)→π+π -Υ(1S) dipion transitions and present an improved measurement of the branching fraction of the Υ(3S)→π+π -Υ(2S) decay and of the Υ(3S)-Υ(2S) mass difference. © 2011 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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.225
Teacher spread0.207 · 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
Published2011
Admission routes1
Has abstractyes

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