UNFOLDING BY WEIGHTING MONTE-CARLO EVENTS

被引：23
|
作者：
LINDEMANN, L [1 ]
ZECH, G [1 ]
机构：
[1] UNIV SIEGEN,D-57068 SIEGEN,GERMANY
来源：
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 1995年 / 354卷 / 2-3期
关键词：
D O I：
10.1016/0168-9002(94)01067-6
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
A new method to unfold experimental event distributions is presented. Monte Carlo simulated events are weighted iteratively in such a way that the distribution of the undistorted variables of the simulated events approximates the undistorted experimental distribution. The method is binning free, applicable to multivariate problems and easy to use. It is illustrated with a simple example and compared to a least square method with regularization.
引用
收藏
页码：516 / 521
页数：6
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