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基于神经网络的阿秒条纹相位恢复

Attosecond streaking phase retrieval with neural network.

作者信息

White Jonathon, Chang Zenghu

出版信息

Opt Express. 2019 Feb 18;27(4):4799-4807. doi: 10.1364/OE.27.004799.

Abstract

A new method for retrieving the spectral phase of isolated attosecond X-ray pulses from streaking traces is explored. The neural network method shows the potential for nearly instantaneous attosecond streaking phase retrieval, without use of the central momentum approximation. A neural network is trained with computer generated data that contain statistical noise and shown to correctly retrieve the phase of both computer generated and experimental attosecond streaking traces.

摘要

探索了一种从条纹迹线中检索孤立阿秒X射线脉冲光谱相位的新方法。神经网络方法显示出几乎能瞬间检索阿秒条纹相位的潜力,且无需使用中心动量近似。使用包含统计噪声的计算机生成数据对神经网络进行训练,结果表明该网络能正确检索计算机生成的和实验中的阿秒条纹迹线的相位。

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