核电子学与探测技术2024,Vol.44Issue(6) :1091-1100.

基于特征智能提取的n/γ自动甄别设计

Automatic n/γ Discrimination Design Based on Feature Intelligent Extraction

蒋宇航 丁廷梦 蒋小菲
核电子学与探测技术2024,Vol.44Issue(6) :1091-1100.

基于特征智能提取的n/γ自动甄别设计

Automatic n/γ Discrimination Design Based on Feature Intelligent Extraction

蒋宇航 1丁廷梦 1蒋小菲1
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作者信息

  • 1. 贵州大学大数据与信息工程学院,贵阳 550025
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摘要

本文基于LabVIEW实现了一种针对传统甄别方法的n/γ自动甄别软件系统,可根据中子与γ射线的PSD特征分布自动优化配置参数实现智能特征参数计算,并自主实现n/γ甄别.测试结果表明,自动甄别方法可避免手动调参,智能完成特征参数的提取与甄别,甄别效果、实验耗时都优于手动调参.本文提出的自动甄别方法有效、可靠,可以应用于实际混合场中的n/γ甄别,为实验人员提供较大便利.

Abstract

Based on LabVIEW,this paper designs an automatic n/γ discrimination software system for traditional discrimination methods,which can automatically optimize the configuration parameters according to the PSD feature distribution of neutrons and γ-rays to achieve intelligent feature parameter calculation,and autonomously realize n/γ discrimination.The test results show that the automatic discrimination method can avoid manual adjustment,and intelligently complete the extraction and discrimination of feature parameters,and the discrimination effect and experimental time consuming are better than the manual adjustment.The automatic discrimination method proposed in this paper is effective and reliable,and can be applied to n/γ discrimination in real mixed fields,providing greater convenience for experimenters.

关键词

n/γ自动甄别/LabVIEW/特征提取/手动调参

Key words

automatic n/γ discrimination/LabVIEW/feature extraction/manual adjustment

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出版年

2024
核电子学与探测技术
中核(北京)核仪器厂

核电子学与探测技术

北大核心
影响因子:0.215
ISSN:0258-0934
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