B-QUARK TAGGING USING NEURAL NETWORKS AND MULTIVARIATE STATISTICAL-METHODS - A COMPARISON OF BOTH TECHNIQUES

被引：10

作者：

BECKS, KH

BLOCK, F

DREES, J

LANGEFELD, P

SEIDEL, F

机构：

[1] Physics Department, University of Wuppertal

来源：

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 1993年 / 329卷 / 03期

关键词：

D O I：

10.1016/0168-9002(93)91286-V

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

We have studied the b-quark tagging problem from Z0 decays as measured in the DELPHI experiment at LEP using artificial neural networks and conventional multivariate statistical methods. Contrary to the classical approaches we used as input to the neural network very simple variables, closely related to the directly measured particle momenta. The results of the methods are compared and tested for possible complementation.

引用

页码：501 / 517

页数：17