Studying Capabilities of a Fast Monitor for Beam Collisions by Monte Carlo Simulations and Machine Learning Methods

被引：0
|
作者：
Sandul, V. S. [1 ]
Feofilov, G. A. [1 ]
Valiev, F. F. [1 ]
机构：
[1] St Petersburg State Univ, St Petersburg 198504, Russia
来源：
PHYSICS OF PARTICLES AND NUCLEI | 2023年 / 54卷 / 04期
基金：
俄罗斯基础研究基金会;
关键词：
D O I：
10.1134/S1063779623040275
中图分类号：
O412 [相对论、场论]; O572.2 [粒子物理学];
学科分类号：
摘要：
A system for fast monitoring of intense beam collisions in experiments at the NICA collider, based on segmented ring detectors on microchannel plates, is considered. Simulation of the monitoring system has been carried out using a DQGSM event generator. It is shown that in each collision event, the monitoring system and machine learning algorithms can ensure the accuracy of finding the position of the interaction point with the standard deviation s =12 mm.
引用
收藏
页码：712 / 716
页数：5
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