Differentiable Multi-scale Effective Field Theory Likelihoods for Beyond the Standard Model Phenomenology
This paper introduces a differentiable, multi-scale Effective Field Theory framework that integrates renormalization-group evolution, matching, and experimental constraints to enable efficient gradient-based inference in large parameter spaces, as demonstrated through comprehensive 374-parameter SMEFT analyses.