Digital pulseshape analysis by neural networks for the Heidelberg-Moscow-Double-Beta-Decay-Experiment

被引：47

作者：

Majorovits, B ^{[1
]}

Klapdor-Kleingrothaus, HV ^{[1
]}

机构：

[1] Max Planck Inst Kernphys, D-69029 Heidelberg, Germany

来源：

EUROPEAN PHYSICAL JOURNAL A | 1999年 / 6卷 / 04期

关键词：

Neural Network; Sensitive Experiment; Scattered Event; Event Recognition; Digital Pulse;

D O I：

10.1007/s100500050370

中图分类号：

O57 [原子核物理学、高能物理学];

学科分类号：

070202 ;

摘要：

The Heidelberg-Moscow Experiment is presently the most sensitive experiment looking for neutrinoless double-beta decay. Recently the already very low background has been lowered by means of a Digital Pulseshape Analysis using a one parameter cut to distinguish between pointlike events and multiple scattered events. To use all the information contained in a recorded digital pulse, we developed a new technique for event recognition based on neural networks.

引用

页码：463 / 469

页数：7

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