利用任意非线性响应进行通用在线波形表征
Universal in-line waveform characterization using arbitrary non-linear responses
AI总结：
本文提出一种基于任意非线性响应和开源算法（CRIME/lazyCRIME）的通用在线超短脉冲波形表征方案，可在标准工作站上以阿秒精度快速重建波形，并成功适配ATAS等非侵入式同步诊断场景。
摘要：
当代面向波形分辨表征的方案受到特定实验装置要求的制约，这严重限制了其适应性，并且未能为常规在线诊断建立标准化流程。本工作报告了一项全面的实验演示，表明来自多种介质和非线性观测量的相对产率测量，结合我们开源的系列重建算法（CRIME 和 lazyCRIME），能够在标准工作站上仅用几分钟就实现具有阿秒精度的稳健波形重建。我们进一步将该框架适配到多种配置中——包括在阿秒瞬态吸收光谱（ATAS）实验期间进行非侵入式、同步波形表征——展示了这种新型脉冲表征方法的低成本和低干扰特性。总之，这项工作建立了一种易于实施、适用于超短脉冲在线诊断的通用表征方案，可供更广泛的超快科学界便捷使用。
英文摘要：
Contemporary schemes for waveform-resolved characterization are constrained by setup-specific requirements, which severely limits their adaptability and fails to establish standard procedures for routine in-line diagnostic. This work reports a comprehensive experimental demonstration that relative yield measurements from a broad variety of media and nonlinear observables, combined with our family of open-source reconstruction algorithms (CRIME and lazyCRIME), allow for robust waveform retrieval with attosecond accuracy on a standard workstation in just minutes. We have further adapted this framework to multiple configurations -- including non-invasive, simultaneous waveform characterization during an attosecond transient absorption spectroscopy (ATAS) experiment -- showcasing the low-cost and non-intrusive nature of the new pulse characterization approach. Together, this work establishes an easy-to-implement universal characterization scheme for in-line diagnostic of ultrashort pulses that is readily accessible to the broader ultrafast science community.
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