SYMBA: symbolic computation of squared amplitudes in high energy physics with machine learning
SYMBA: symbolic computation of squared amplitudes in high energy physics with machine learning
The cross section is one of the most important physical quantities in high-energy physics and the most time consuming to compute. While machine learning has proven to be highly successful in numerical calculations in high-energy physics, analytical calculations using machine learning are still in their infancy. In this work, we …