使用频率分辨光门控和计算神经网络的直接超短脉冲检索

C. Ladera, K. Delong, R. Trebino, D. Fittinghoff
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引用次数: 1

摘要

频率分辨光门控(FROG)是一种测量超短激光脉冲随时间变化的强度和相位的方法。在FROG中,非线性自相关信号由光谱仪进行频率分辨,产生“FROG道”,这是脉冲的一种谱图[1]。然后将二维图像(强度与频率和延迟)FROG轨迹输入到基于相位检索的迭代算法中[2],该算法确定激光脉冲的强度和相位。虽然FROG算法表现良好,但对于复杂的脉冲形状,它需要一分钟或更长时间才能收敛。因此,在许多情况下,需要有一种直接(即非迭代)的计算方法,能够快速地反演超短脉冲强度和相位与其实验FROG轨迹相关的高度非线性和复杂函数。在这项工作中,我们证明了计算神经网络可以在不到一秒的时间内直接从脉冲的FROG轨迹中获得脉冲的强度和相位,而不依赖于脉冲的形状。我们使用串行个人计算机的演示证明了这一原理,使用一组仅由五个参数定义的脉冲。然而,由于神经网络现在利用了非常简单、快速和强大的并行处理硬件,因此,即使在任意脉冲的一般情况下,未来的波形恢复也可能几乎是瞬时的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Direct Ultrashort-Pulse Retrieval Using Frequency-Resolved Optical Gating and a Computational Neural Network
Frequency-Resolved Optical Gating (FROG) is a method for measuring the time-dependent intensity and phase of an ultrashort laser pulse. In FROG a nonlinear autocorrelation signal is frequency-resolved by a spectrometer to produce a "FROG trace", which is a type of spectrogram of the pulse [1]. The FROG trace, a two-dimensional image (intensity vs. frequency and delay) is then input into a phase-retrieval-based iterative algorithm [2], that determines the intensity and phase of the laser pulse. Although the FROG algorithm performs well, it requires a minute or more to converge for complex pulse shapes. It is therefore desirable in many situations to have a direct (i.e., non-iterative) computational method capable of quickly inverting the highly non-linear and complex function that relates the ultrashort pulse intensity and phase to its experimental FROG trace. In this work, we show that computational neural networks can directly obtain the intensity and phase of a pulse from its FROG trace in less than one second, independent of the pulse shape. Our demonstration using a serial personal computer is a proof of this principle, utilizing a set of pulses defined by only five parameters. Because neural networks now take advantage of very simple, fast, and powerful parallel-processing hardware, however, future waveform recovery, even in the general case of arbitrary pulses, could be nearly instantaneous.
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