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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hep-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
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.
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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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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.