事件Generator调整学徒
Apprentice for Event Generator Tuning
摘要：
Apprentice是为事件生成器调优而开发的工具。它包含了一系列概念上的改进和对调优工具Professor的扩展。它的核心功能仍然是构建一个多变量分析代理模型，以计算昂贵的蒙特卡罗事件发生器预测。代理模型用于卡方最小化和似然估计中的数值优化。Apprentice还引入了自动选择可观察权重的算法，以最大限度地减少事件生成器中错误建模的影响。我们说明了我们的改进MC发电机调谐和限制设置的任务。
英文摘要：
Apprentice is a tool developed for event generator tuning. It contains a range of conceptual improvements and extensions over the tuning tool Professor. Its core functionality remains the construction of a multivariate analytic surrogate model to computationally expensive Monte-Carlo event generator predictions. The surrogate model is used for numerical optimization in chi-square minimization and likelihood evaluation. Apprentice also introduces algorithms to automate the selection of observable weights to minimize the effect of mis-modeling in the event generators. We illustrate our improvements for the task of MC-generator tuning and limit setting.
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。
