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Using Machine Learning techniques in phenomenological studies on flavour physics

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An updated analysis of New Physics violating Lepton Flavour Universality, by using the Standard Model Effective Field Lagrangian with semileptonic dimension six operators at Λ = 1 TeV is presented. We perform a global fit, by discussing the relevance of the mixing in the first generation. We use for the first time in this context a Montecarlo analysis to extract the confidence intervals and correlations between observables. Our results show that machine learning, made jointly with the SHAP values, constitute a suitable strategy to use in this kind of analysis.

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Journal of High Energy Physics, 2022, vol. 2022, num. 115, p. 1-42

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Articles publicats en revistes (Física Quàntica i Astrofísica)

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Using Machine Learning techniques in phenomenological studies on flavour physics