将深度学习技术应用于手性磁波搜索

IF 3.6 2区物理与天体物理 Q1 PHYSICS, NUCLEAR

Chinese Physics C Pub Date : 2024-05-16 DOI:10.1088/1674-1137/ad4c5d

Xu-Guang 黄旭光 Huang, Yuanzhuo Zhao

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引用次数: 0

摘要

手性磁波（CMW）是夸克-胶子等离子体中的一种集体模式，源于手性磁效应（CME）和手性分离效应。由于严重的背景污染，在重离子碰撞中探测CMW具有挑战性。在Ref.~\cite{Zhao:2021yjo}中，我们构建了一个神经网络，可以从终态先驱谱中准确地识别CME相关信号。在本文中，我们将这种神经网络推广到CMW搜索中。结果表明，经过更新训练后，神经网络可以有效识别 CMW 相关信号。此外，我们还评估了神经网络与其他已知的 CMW 搜索方法相比的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Applying Deep Learning Technique to Chiral Magnetic Wave Search

The chiral magnetic wave (CMW) is a collective mode in quark-gluon plasma originated from the chiral magnetic effect (CME) and chiral separation effect. Its detection in heavy-ion collisions is challenging due to significant background contamination. In Ref.~\cite{Zhao:2021yjo}, we have constructed a neural network which can accurately identify the CME-related signal from the final-state pion spectra. In this paper, we generalize such a neural network to the case of CMW search. We show that, after a updated training, the neural network can effectively recognize the CMW-related signal. Additionally, we assess the performance of the neural network compared to other known methods for CMW search.

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来源期刊

Chinese Physics C 物理-物理：核物理

CiteScore

6.50

自引率

8.30%

发文量

8976

审稿时长

1.3 months

期刊介绍： Chinese Physics C covers the latest developments and achievements in the theory, experiment and applications of: Particle physics; Nuclear physics; Particle and nuclear astrophysics; Cosmology; Accelerator physics. The journal publishes original research papers, letters and reviews. The Letters section covers short reports on the latest important scientific results, published as quickly as possible. Such breakthrough research articles are a high priority for publication. The Editorial Board is composed of about fifty distinguished physicists, who are responsible for the review of submitted papers and who ensure the scientific quality of the journal. The journal has been awarded the Chinese Academy of Sciences ‘Excellent Journal’ award multiple times, and is recognized as one of China''s top one hundred key scientific periodicals by the General Administration of News and Publications.