Scholarlink

Abstract <p>The triple GEM detector is one of the basic components of the hybrid tracking system in the BM@N experiment. It consists of gas chambers located perpendicular to the beam axis, designed to detect particles passing through matter. The present work describes a method for the simulation of detector response using Generative-Adversarial Networks (GAN). Special focus is given to the data preparation for training the model and forming a feature vector for the Conditional GAN (C-GAN).</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

GAN-Based Simulation of Triple GEM Detector in the BM@N Experiment

  • 期刊论文

  • 发表日期：

    2026年7月20日

查看全文
  • D. A. Baranov

摘要

Abstract

The triple GEM detector is one of the basic components of the hybrid tracking system in the BM@N experiment. It consists of gas chambers located perpendicular to the beam axis, designed to detect particles passing through matter. The present work describes a method for the simulation of detector response using Generative-Adversarial Networks (GAN). Special focus is given to the data preparation for training the model and forming a feature vector for the Conditional GAN (C-GAN).