Systematic event generator tuning for the LHC
Systematic event generator tuning for the LHC
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DOI：
10.1140/epjc/s10052-009-1196-7
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发表时间：
2010-01-01
影响因子：
4.4
通讯作者：
von Seggern, Jan Eike
中科院分区：
文献类型：
--
作者：
Buckley, Andy;Hoeth, Hendrik;von Seggern, Jan Eike
在本文中，我们描述了教授，一个新的程序，通过参数化每箱生成器对参数变化的响应和数值优化参数化行为，将蒙特卡罗事件生成器的模型参数调整到实验数据。模拟实验分析数据是使用Rivet分析工具包获得的。本文介绍了该方法的过程和实现，并举例说明了该方法对来自LEP/SLD和Tevatron实验数据的Pythia 6事件生成器进行调谐的应用。这些曲调是对现有标准选择的实质性改进，并被推荐作为LHC实验的基础曲调，当早期LHC数据可用时，它们本身将被系统地改进。
In this article we describe Professor, a new program for tuning model parameters of Monte Carlo event generators to experimental data by parameterising the per-bin generator response to parameter variations and numerically optimising the parameterised behaviour. Simulated experimental analysis data is obtained using the Rivet analysis toolkit. This paper presents the Professor procedure and implementation, illustrated with the application of the method to tunes of the Pythia 6 event generator to data from the LEP/SLD and Tevatron experiments. These tunes are substantial improvements on existing standard choices, and are recommended as base tunes for LHC experiments, to be themselves systematically improved upon when early LHC data is available.