Bayesian model selection over SMEFT operator subsets using a genetic algorithm and BIC approximation is applied to electroweak, Higgs, top and diboson data, finding no evidence for new physics and improved Wilson coefficient posteriors compared to global fits.
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3 Pith papers cite this work. Polarity classification is still indexing.
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hep-ph 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
Computes one-loop mixing of bosonic and two-fermion interactions into two-fermion operators in dim-8 SMEFT, leaving only four-fermion to two-fermion mixing to finish the renormalization program.
Universal SMEFT fits to pseudo-data from neutral and charged Drell-Yan processes at HL-LHC can detect universal new physics and extract its properties stably across EFT truncation orders.
citing papers explorer
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Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery
Bayesian model selection over SMEFT operator subsets using a genetic algorithm and BIC approximation is applied to electroweak, Higgs, top and diboson data, finding no evidence for new physics and improved Wilson coefficient posteriors compared to global fits.
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Renormalization of the SMEFT to Dimension Eight: Fermionic Interactions II
Computes one-loop mixing of bosonic and two-fermion interactions into two-fermion operators in dim-8 SMEFT, leaving only four-fermion to two-fermion mixing to finish the renormalization program.
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USMEFT as a tool for discovery of universal new physics at high luminosity LHC
Universal SMEFT fits to pseudo-data from neutral and charged Drell-Yan processes at HL-LHC can detect universal new physics and extract its properties stably across EFT truncation orders.