Tuning of MC Generator MPI Models

Andy Buckley, H. Schulz
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引用次数: 6

Abstract

MC models of multiple partonic scattering inevitably introduce many free parameters, either fundamental to the models or from their integration with MC treatments of primary-scattering evolution. This non-perturbative and non-factorisable physics in particular cannot currently be constrained from theoretical principles, and hence parameter optimisation against experimental data is required. This process is commonly referred to as MC tuning. We summarise the principles, problems and history of MC tuning, and the still-evolving modern approach to both model optimisation and estimation of modelling uncertainties.
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MC发电机MPI模型的调谐
多部分子散射的MC模型不可避免地引入了许多自由参数,这些参数要么是模型的基本参数,要么是与MC处理的初级散射演化相结合而产生的。特别是这种非摄动和不可因式物理目前不能受理论原理的约束,因此需要针对实验数据进行参数优化。这个过程通常被称为MC调优。我们总结了MC调谐的原理、问题和历史,以及模型优化和建模不确定性估计的现代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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