Optimized neural network search of Higgs boson production with the Tevatron

被引：13

作者：

Boos, E ^{[1
]}

Dudko, L ^{[1
]}

Smirnov, D ^{[1
]}

机构：

[1] Moscow MV Lomonosov State Univ, Sckobeltsyn Inst Nucl Phys, Moscow 119992, Russia

来源：

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 2003年 / 502卷 / 2-3期

关键词：

D O I：

10.1016/S0168-9002(03)00477-7

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Making the best choice of kinematic variables is one of the main steps in using Neural Networks (NN) in high-energy physics. Our optimizations are based on the analysis of the Feynman diagram structure (singularities and spin effects) for the signal and background processes. Applying this method leads to improved efficiency of the Higgs search compared with the earlier NN strategy and the conventional analysis. (C) 2003 Elsevier Science B.V. All rights reserved.

引用

页码：486 / 488

页数：3