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arXiv 2102.00773hep-ph
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加快NLO

Speeding up MadGraph5_aMC@NLO

Kiran Ostrolenk, Olivier Mattelaer

摘要:

在本文中,我们将描述在MadGraph5_aMC@NLO中实现的两个新优化,这两个优化都旨在加速前导阶过程的计算(对于任何模型)。首先,我们实现了一种新的方法来评估平方矩阵元素,被称为螺旋度回收,这导致了两个因素的加速。其次,我们修改了相空间积分器的多通道处理,为类似VBF的过程提供了巨大的速度提升(快上千倍)。

英文摘要:

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).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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