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hep-ph2025
Angular Coefficients from Interpretable Machine Learning with Symbolic Regression
Josh Bendavid, Daniel Conde, Manuel Morales-Alvarado +2
We explore the use of symbolic regression to derive compact analytical expressions for angular observables relevant to electroweak boson production at the Large Hadron Collider (LH…
hep-ph2024
Symbolic regression for precision LHC physics
Manuel Morales-Alvarado, Daniel Conde, Josh Bendavid +2
We study the potential of symbolic regression (SR) to derive compact and precise analytic expressions that can improve the accuracy and simplicity of phenomenological analyses at t…