加速MadGraph5_aMC@NLO。
Speeding up MadGraph5_aMC@NLO.
作者信息
Mattelaer O, Ostrolenk K
机构信息
Center for Cosmology, Particle Physics and Phenomenology (CP3), Université Catholique de Louvain (UCLouvain), 1348 Louvain-la-Neuve, Belgium.
Centre de Calcul Intensif et de Stockage de Masse, Université Catholique de Louvain (UCLouvain), 1348 Louvain-la-Neuve, Belgium.
出版信息
Eur Phys J C Part Fields. 2021;81(5):435. doi: 10.1140/epjc/s10052-021-09204-7. Epub 2021 May 20.
UNLABELLED
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.
未标注
在本文中，我们将描述在MadGraph5_aMC@NLO中实现的两种新优化方法，这两种方法均旨在加速领头阶过程（适用于任何模型）的计算。首先，我们实现了一种评估平方矩阵元的新方法，称为螺旋度循环，其可实现两倍的加速。其次，我们修改了相空间积分器的多通道处理方式，为类VBF过程提供了极大的加速（快数千倍）。
补充信息
在线版本包含可在10.1140/epjc/s10052-021-09204-7获取的补充材料。
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