2023 update of the extraction of the CKM matrix elements
Luiz Vale Silva
TL;DR
This paper updates the extraction of CKM matrix elements within the Standard Model using a global fit approach that combines precise experimental and theoretical data, employing the CKMfitter package with a frequentist Rfit scheme.
Contribution
It provides an updated, comprehensive analysis of CKM matrix elements using the latest data and a robust statistical framework within the Standard Model.
Findings
Updated CKM matrix element values
Consistent fit with Standard Model predictions
Refined constraints on flavor physics parameters
Abstract
I discuss the extraction of the Cabibbo-Kobayashi-Maskawa (CKM) matrix elements under the Standard Model (SM) framework from a global fit combining observables that satisfy the double requirement of being precisely known both experimentally and theoretically. The analysis shown here relies on the CKMfitter package, consisting of a frequentist approach that employs the Range fit (Rfit) scheme to handle theoretical uncertainties.
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Taxonomy
TopicsNuclear Physics and Applications · X-ray Diffraction in Crystallography · Chemical Synthesis and Characterization