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Speeding up MadGraph5_aMC@NLO

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 i...

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Detalles Bibliográficos
Autores principales: Mattelaer, O., Ostrolenk, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136271/
https://www.ncbi.nlm.nih.gov/pubmed/34035657
http://dx.doi.org/10.1140/epjc/s10052-021-09204-7
Descripción
Sumario: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). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1140/epjc/s10052-021-09204-7.