Author:
Krishnamoorthy Mohan,Schulz Holger,Ju Xiangyang,Wang Wenjing,Leyffer Sven,Marshall Zachary,Mrenna Stephen,Müller Juliane,Kowalkowski James B.
Abstract
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.
Reference24 articles.
1. Buckley A., Hoeth H., Lacker H., Schulz H., von Seggern J., The European Physical Journal C 65, 331 (2010)
2. Devore R., Yu X.M., Transactions of the American Mathematical Society 293, 161 (1986)
3. Newman D.J., Michigan Math. J 11, 11 (1964)
4. Gonnet P., Pachón R., Trefethen L.N., Electron. Trans. Numer. Anal. 38, 146 (2011)
5. Pachón R., Gonnet P., Van Deun J., SIAM J. Numer. Anal. 50, 1713 (2012)
Cited by
15 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献