A new approach to a global fit of the CKM matrix
By A. Höcker, H. Lacker, S. Laplace, F. Diberder. 2001
279 citations recorded by the source corpus.
Abstract. We report on a new approach to a global CKM matrix analysis taking into account most recent experimental and theoretical results. The statistical framework (Rfit) developed in this paper advocates frequentist statistics. Other approaches, such as Bayesian statistics or the 95% CL scan method are also discussed. We emphasize the distinction of a model testing and a model dependent, metrological phase in which the various parameters of the theory are estimated. Measurements and theoretical parameters entering the global fit are thoroughly discussed, in particular with respect to their theoretical uncertainties. Graphical results for confidence levels are drawn in various one and two-dimensional parameter spaces. Numerical results are provided for all relevant CKM parameterizations, the CKM elements and theoretical input parameters. Predictions for branching ratios of rare K and B meson decays are obtained. A simple, predictive SUSY extension of the Standard Model is discussed.
Subfields: Nuclear and High Energy Physics
View Paper: https://www.semanticscholar.org/paper/c42afeae7c1f68f6e1b22939d92ce3cc868f0626
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Nuclear and High Energy Physics
Citations in the corpus
- O new physics, where art thou? A global search in the top sector (2019, methodology): “If we combine them with Gaussian experimental uncertainties in a profile likelihood this leads to the RFit scheme [108].”
- Opportunities in Flavour Physics at the HL-LHC and HE-LHC (2018, background): “~ μ as “nuisance parameters” and defining the test statistic, ∆χ(2)(α) = min~ μ[χ (2)(α)] − χ(2)min [61, 64, 65].”
- Revisiting the one leptoquark solution to the R(D(∗)) anomalies and its phenomenological implications (2016, background): “The theoretical uncertainty for an observable is evaluated by varying each input parameter within its corresponding allowed ranges and then adding the individual uncertainties in quadrature [75–77].”
- Physics at Super B Factory (2004, methodology): “If two errors are given, the second error is treated as flat in the fit [24].”
- Charged-Higgs phenomenology in the aligned two-Higgs-doublet model (2010, methodology): “In our work we use the statistical approach RFit [43], which has been implemented in the CKMfitter package [44].”
- Status of the two-Higgs-doublet model of type II (2013, methodology): “All fits were done with the myFitter framework [82] and cross-checked with an independent implementation in the CKMfitter software [83].”