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Extracting Frequency-Frequency Correlation Function from Two-Dimensional Infrared Spectroscopy: Peak Shift Measurement

机译:从二维红外光谱中提取频率相关函数:峰位移测量

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摘要

Two-dimensional infrared (2D-IR) spectroscopy can probe the fast structural evolution of molecules under thermal equilibrium. Vibrational frequency fluctuation caused by structural evolution produced the time-dependent line shape change in 2D-IR spectrum. A variety of methods has been used to connect the evolution of 2D-IR spectrum with Frequency-Frequency Correlation Function (FFCF), which connects the experimental observables to a molecular level description. Here, a new method to extract FFCF from 2D-IR spectra is described. The experimental observable is the time-dependent frequency shift of maximum peak position in the slice spectrum of 2D-IR, which is taken along the excitation frequency axis. The direct relation between the 2D-IR peak shift and FFCF is proved analytically. Observing the 2D-IR peak shift does not need the full 2D-IR spectrum which covers 0-1 and 1-2 bands. Thus data collection time to determine FFCF can be reduced significantly, which helps the detection of transient species.
机译:二维红外(2D-IR)光谱可以探测热平衡下分子的快速结构演变。由结构演化引起的振动频率波动在二维红外光谱中产生了随时间变化的线形变化。已使用多种方法将2D-IR光谱的演化与频率-频率相关函数(FFCF)联系起来,该功能将实验可观察物与分子水平描述联系起来。在这里,描述了一种从2D-IR光谱中提取FFCF的新方法。实验可观察到的是2D-IR切片频谱中最大峰值位置随时间变化的频率偏移,该频率偏移是沿激励频率轴获取的。通过分析证明了二维红外峰位移与FFCF之间的直接关系。观察2D-IR峰值偏移并不需要覆盖0-1和1-2频段的完整2D-IR频谱。因此,确定FFCF的数据收集时间可以大大减少,这有助于检测瞬态物质。

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