The modeling of multiple parton interactions in Monte Carlo event generators is a crucial part not only for the dressing of signal processes but also to describe data with a minimum bias on the event selection. Much work has and will be put into the theoretical framework and the numerical implementation of these models. In this contribution, we document various improvements of the multiple parton interaction model of Herwig 7 (Bellm et al. in Eur Phys J C76(4):196, 2016), that lead to an improved description of minimum bias and underlying event data.

中文翻译：

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改善Herwig中多重互动的描述

蒙特卡洛事件生成器中多个parton交互的建模不仅对信号处理的修整至关重要，而且对于描述对事件选择具有最小偏差的数据也至关重要。这些模型的理论框架和数值实现已经做了大量工作，并将进行很多工作。在此贡献中，我们记录了Herwig 7的多部分相互作用模型的各种改进（Bellm等人在Eur Phys J C76（4）：196，2016），这导致对最小偏差和基础事件数据的改进描述。