RICH探测器图像的神经网络分析

IF 0.7 4区物理与天体物理 Q4 PHYSICS, MULTIDISCIPLINARY

Bulletin of the Lebedev Physics Institute Pub Date : 2025-08-20 DOI:10.3103/S1068335625602225

N. I. Starkov

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引用次数: 0

摘要

本文考虑了当高能粒子以与敏感平面成一定角度穿过RICH探测器时，利用神经网络处理探测器信号的可能性。结果表明，在这种情况下，只需要初始化光电倍增管的坐标就可以确定粒子的电荷、速度和角度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Analysis of RICH Detector Images Using a Neural Network

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Analysis of RICH Detector Images Using a Neural Network

The paper considers a possibility of processing signals from a RICH detector using a neural network when a high-energy particle passes through it at an angle to the sensitive plane. It is shown that only the coordinates of the initiated photomultiplier tubes are required in this case to determine the charge, velocity, and angle of a particle.

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来源期刊

Bulletin of the Lebedev Physics Institute PHYSICS, MULTIDISCIPLINARY-

CiteScore

0.70

自引率

25.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Bulletin of the Lebedev Physics Institute is an international peer reviewed journal that publishes results of new original experimental and theoretical studies on all topics of physics: theoretical physics; atomic and molecular physics; nuclear physics; optics; lasers; condensed matter; physics of solids; biophysics, and others.