采用正弦运动延迟线的太赫兹时域光谱数据的高级数据处理
Advanced Data Processing of THz-Time Domain Spectroscopy Data with Sinusoidally Moving Delay Lines
AI总结：
针对太赫兹时域光谱振荡延迟线数据采集的噪声优化问题，分析数据平均的常见误区与动态范围影响，推出开源parrot程序提升信号保真与实验效率。
摘要：
本文对太赫兹时域光谱系统中使用振荡延迟线的数据采集过程开展了全面的技术分析。众所周知，这类快速位移台尤其在高重复频率系统中，可通过平均化有效降低噪声水平。但为显著优化动态范围（DR）和信噪比（SNR），必须谨慎优化数据平均过程。文中讨论了若干需要规避的常见误区，以及不当数据处理对可实现的动态范围的影响。随本文一同发布了一款名为parrot（全称为Processing All Rapidly & Reliably Obtained THz-traces，即快速可靠处理所有采集到的太赫兹迹线）的免费开源程序，用于解决上述误区，助力加快实验搭建与数据分析流程，从而提升信号保真度与结果可复现性。
英文摘要：
We provide a comprehensive technical analysis of the data acquisition process with oscillating delay lines for Terahertz-time domain spectroscopy. The utilization of these rapid stages, particularly in high-repetition-rate systems, is known to enable an effective reduction of noise content through averaging. However, caution must be exercised to optimize the data averaging process, with the goal of significantly optimizing the dynamic range (DR) and signal-to-noise ratio (SNR). Here we discuss some pitfalls to avoid and the effect of improper data handling on the dynamic range obtainable. A free and open-source program, called parrot (Processing All Rapidly & Reliably Obtained THz-traces), is provided alongside this publication to overcome the discussed pitfalls and facilitate the acceleration of experimental setups and data analysis, thereby enhancing signal fidelity and reproducibility.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
