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Record W2963529982 · doi:10.22323/1.174.0370

A global fit to extract the B\rightarrow Xs gamma decay rate

2013· article· en· W2963529982 on OpenAlexaff
Florian U. Bernlochner

Bibliographic record

VenueProceedings of 36th International Conference on High Energy Physics — PoS(ICHEP2012) · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversity of Victoria
FundersNuclear PhysicsOffice of ScienceU.S. Department of Energy
KeywordsPhysicsB mesonFactorizationParticle physicsHadronMesonFunction (biology)QuarkCabibbo–Kobayashi–Maskawa matrixMatrix (chemical analysis)Distribution (mathematics)Nuclear physicsAlgorithmMathematicsMathematical analysis

Abstract

fetched live from OpenAlex

© Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike Licence. The goal of the SIMBA collaboration is to provide a global fit to the available measurements of inclusive B?Xs? and B?Xul? decays. By performing a global fit one is able to simultaneously determine the relevant normalizations, i.e. the total B ? Xs? rate and the CKM-matrix element |Vub|, together with the required hadronic parameters, most importantly the b-quark mass and the b-quark distribution function in the B-meson, called the shape function. In this talk, the current status on the model-independent determination of the shape function and |C7inclVtbVts*|, which parametrizes the total B?Xs? rate, from a global fit to the available B?Xs? measurements from BABAR and Belle is presented. In particular, the theoretical uncertainties originating from variations of the different factorization scales are evaluated.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.304
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.026
GPT teacher head0.279
Teacher spread0.253 · 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 teacher head, 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

Citations3
Published2013
Admission routes1
Has abstractyes

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