Enhanced all-optical vector atomic magnetometer enabled by artificial neural network

IF 3.5 2区 物理与天体物理 Q2 PHYSICS, APPLIED
Jianan Qin, Jinxin Xu, Zhiyuan Jiang, Jifeng Qu
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引用次数: 0

Abstract

This paper reports an all-optical vector magnetometer enhanced by a machine learning model. Using a dual probing beam setup, spin projections in both probe directions are simultaneously detected. Vector information is directly obtained from the measured phases of spin projection signals. To enhance the measurement accuracy and mitigate the dead zone effect, we introduce an artificial neural network (ANN) to link the phase signals to the field direction. With the addition of amplitude information to the ANN input, the average angle error is reduced to less than 0.3° within a hemisphere. Furthermore, this configuration demonstrates a field angle sensitivity of better than 30 μ rad/Hz1/2.
人工神经网络支持的增强型全光学矢量原子磁强计
本文报告了一种通过机器学习模型增强的全光学矢量磁强计。利用双探测光束设置,可同时探测两个探测方向的自旋投影。矢量信息直接从自旋投影信号的测量相位中获得。为了提高测量精度并减轻死区效应,我们引入了人工神经网络(ANN),将相位信号与磁场方向联系起来。在人工神经网络输入中加入振幅信息后,一个半球内的平均角度误差减小到 0.3°以下。此外,这种配置的场角灵敏度优于 30 μ rad/Hz1/2。
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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来源期刊
Applied Physics Letters
Applied Physics Letters 物理-物理:应用
CiteScore
6.40
自引率
10.00%
发文量
1821
审稿时长
1.6 months
期刊介绍: Applied Physics Letters (APL) features concise, up-to-date reports on significant new findings in applied physics. Emphasizing rapid dissemination of key data and new physical insights, APL offers prompt publication of new experimental and theoretical papers reporting applications of physics phenomena to all branches of science, engineering, and modern technology. In addition to regular articles, the journal also publishes invited Fast Track, Perspectives, and in-depth Editorials which report on cutting-edge areas in applied physics. APL Perspectives are forward-looking invited letters which highlight recent developments or discoveries. Emphasis is placed on very recent developments, potentially disruptive technologies, open questions and possible solutions. They also include a mini-roadmap detailing where the community should direct efforts in order for the phenomena to be viable for application and the challenges associated with meeting that performance threshold. Perspectives are characterized by personal viewpoints and opinions of recognized experts in the field. Fast Track articles are invited original research articles that report results that are particularly novel and important or provide a significant advancement in an emerging field. Because of the urgency and scientific importance of the work, the peer review process is accelerated. If, during the review process, it becomes apparent that the paper does not meet the Fast Track criterion, it is returned to a normal track.
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