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smelli -- the SMEFT Likelihood
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smelli -- the SMEFT Likelihood
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I present the Python package smelli that implements a global likelihood function in the space of dimension-six Wilson coefficients in the Standard Model Effective Field Theory (SMEFT). The likelihood includes contributions from a large number of flavor and other precision observables, currently 399 in total.
Forward citations
Cited by 2 Pith papers
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New insights into the $b\rightarrow c \bar{u}q$ puzzle through Top-Bottom synergies
Anomalies in b to c u-bar q transitions remain puzzling as proposed new physics scenarios involving SU(2) doublets are not significantly relaxed by collider dilution or factorization breakdown.
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Recent Developments in SMEFT: Theory, Tools, and Phenomenology
A review summarizing recent theory, tools, and phenomenology in the Standard Model Effective Field Theory.
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