基于人工神经网络训练的检测器优化

IF 0.48 Q4 Physics and Astronomy

Bulletin of the Russian Academy of Sciences: Physics Pub Date : 2025-08-18 DOI:10.1134/S1062873825712139

V. A. Roudnev, K. A. Galaktionov, F. F. Valiev

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引用次数: 0

摘要

将人工神经网络应用于微通道板探测器模型数据的事件分析。在此基础上，估计了每个事件的碰撞参数和碰撞点坐标。基于几种蒙特卡罗碰撞模型进行了分析。尽管现有事件模型的质量不足以对碰撞参数进行可靠的、与模型无关的估计，但所提出的参数重建方法允许人们估计探测器的最佳技术特性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Detector Optimization Based on Artificial Neural Network Training

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Detector Optimization Based on Artificial Neural Network Training

Artificial neural networks were used for event-wise analysis of model data for a microchannel plate detector. Based on this data, the impact parameter and the collision point coordinates for each event were estimated. An analysis based on several Monte-Carlo collision models was performed. Even though the quality of the existing models of events is not sufficient for a reliable, model-independent estimation of the collision parameters, the proposed method of parameter reconstruction allows one to estimate the optimal technical characteristics of the detector.

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来源期刊

Bulletin of the Russian Academy of Sciences: Physics Physics and Astronomy-Physics and Astronomy (all)

CiteScore

0.90

自引率

0.00%

发文量

251

期刊介绍： Bulletin of the Russian Academy of Sciences: Physics is an international peer reviewed journal published with the participation of the Russian Academy of Sciences. It presents full-text articles (regular, letters to the editor, reviews) with the most recent results in miscellaneous fields of physics and astronomy: nuclear physics, cosmic rays, condensed matter physics, plasma physics, optics and photonics, nanotechnologies, solar and astrophysics, physical applications in material sciences, life sciences, etc. Bulletin of the Russian Academy of Sciences: Physics focuses on the most relevant multidisciplinary topics in natural sciences, both fundamental and applied. Manuscripts can be submitted in Russian and English languages and are subject to peer review. Accepted articles are usually combined in thematic issues on certain topics according to the journal editorial policy. Authors featured in the journal represent renowned scientific laboratories and institutes from different countries, including large international collaborations. There are globally recognized researchers among the authors: Nobel laureates and recipients of other awards, and members of national academies of sciences and international scientific societies.