NNVub: a Neural Network Approach to
arXiv:1604.07598 · doi:10.1103/PhysRevD.94.014031
Abstract
We use artificial neural networks to parameterize the shape functions in inclusive semileptonic decays without charm. Our approach avoids the adoption of functional form models and allows for a straightforward implementation of all experimental and theoretical constraints on the shape functions. The results are used to extract in the GGOU framework and compared with the original GGOU paper and the latest HFAG results, finding good agreement in both cases. The possible impact of future Belle-II data on the distribution is also discussed.
10 pages, 5 figures
References in corpus (7)
- Treating the b quark distribution function with reliable uncertainties
- Precision determination of the CKM element Vcb
- and form factors and from 2+1-flavor lattice QCD with domain-wall light quarks and relativistic heavy quarks
- Inclusive semileptonic B decays and the determination of |V_ub|
- Measurement of the Branching Fraction with a Sum of Exclusive Decays
- Extrapolation and unitarity bounds for the form factor
- Inclusive Measure of |V_ub| with the Analytic Coupling Model
Cited by in corpus (11)
- 50 Years of Quantum Chromodynamics
- Challenges in Semileptonic B Decays
- Tension in the inclusive versus exclusive determinations of : a possible role of new physics
- Measurements of Partial Branching Fractions of Inclusive Decays with Hadronic Tagging
- Semileptonic and leptonic decays, circa 2016
- 331 Models Facing the Tensions in Processes with the Impact on , and
- Perturbative corrections to power suppressed effects in
- Measurement of Differential Branching Fractions of Inclusive Decays
- Measurement of the Ratio of Partial Branching Fractions of Inclusive to and the Ratio of their Spectra with Hadronic Tagging
- Tensions in the flavour sector
- Recent progress in decays of and hadrons