Using neural networks to enhance the Higgs boson signal at hadron colliders

被引：10

作者：

Field, RD ^{[1
]}

Kanev, Y ^{[1
]}

Tayebnejad, M ^{[1
]}

Griffin, PA ^{[1
]}

机构：

[1] ROCKEFELLER UNIV, NEW YORK, NY 10021 USA

来源：

PHYSICAL REVIEW D | 1996年 / 53卷 / 05期

关键词：

D O I：

10.1103/PhysRevD.53.2296

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

Neural networks are used to help distinguish the ZZ --> l(+)l(-)-jet-jet signal produced by the decay of a 400 GeV Higgs boson at a proton-proton collider energy of 15 TeV from the ''ordinary'' QCD Z + jets background. The ideal case where only one event at a time enters the detector (no pileup) and the case of multiple interactions per beam crossing (pileup) are examined. In both cases, when used in conjunction with the standard cuts, neural networks provide an additional signal-to-background enhancement.

引用

页码：2296 / 2308

页数：13

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