Speeding up MadGraph5_aMC@NLO

TL;DR

This paper introduces two optimization techniques for MadGraph5_aMC@NLO that significantly accelerate leading-order process computations, including a novel helicity recycling method and improved phase-space integration for VBF-like processes.

Contribution

The paper presents two new optimizations—helicity recycling and enhanced phase-space handling—that substantially improve the computational efficiency of MadGraph5_aMC@NLO.

Findings

Helicity recycling doubles the speed of squared matrix element evaluation.

Modified phase-space integration achieves up to thousands-fold speed-up for VBF-like processes.

Overall, the optimizations greatly reduce computation time in MadGraph5_aMC@NLO.

Abstract

In this paper we will describe two new optimisations implemented in MadGraph5_aMC@NLO, both of which are designed to speed-up the computation of leading-order processes (for any model). First we implement a new method to evaluate the squared matrix element, dubbed helicity recycling, which results in factor of two speed-up. Second, we have modified the multi-channel handling of the phase-space integrator providing tremendous speed-up for VBF-like processes (up to thousands times faster).