EFT Validity and Truncation Uncertainty from few Nuisance Parameters
This paper proposes an automation-friendly algorithm that utilizes the calculable contributions in SMEFT to model higher-order truncation uncertainties with a minimal set of nuisance parameters, thereby significantly reducing parameter counts and ensuring EFT validity by constraining bounds to kinematic regions where uncertainties are subdominant.