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保留线形信息的压缩采样二维红外光谱学。

Compressively Sampled Two-Dimensional Infrared Spectroscopy That Preserves Line Shape Information.

作者信息

Humston Jonathan J, Bhattacharya Ipshita, Jacob Mathews, Cheatum Christopher M

机构信息

Department of Chemistry, University of Iowa , Iowa City, Iowa 52242, United States.

Department of Electrical and Computer Engineering, University of Iowa , Iowa City, Iowa 52242, United States.

出版信息

J Phys Chem A. 2017 Apr 27;121(16):3088-3093. doi: 10.1021/acs.jpca.7b01965. Epub 2017 Apr 13.

Abstract

Two-dimensional infrared (2D IR) spectroscopy is a powerful tool to investigate molecular structures and dynamics on femtosecond to picosecond time scales and is applied to diverse systems. Current technologies allow for the acquisition of a single 2D IR spectrum in a few tens of milliseconds using a pulse shaper and an array detector, but demanding applications require spectra for many waiting times and involve considerable signal averaging, resulting in data acquisition times that can be many days or weeks of laboratory measurement time. Using compressive sampling, we show that we can reduce the time for collection of a 2D IR data set in a particularly demanding application from 8 to 2 days, a factor of 4×, without changing the apparatus and while accurately reproducing the line-shape information that is most relevant to this application. This result is a potent example of the potential of compressive sampling to enable challenging new applications of 2D IR.

摘要

二维红外(2D IR)光谱是一种用于研究飞秒到皮秒时间尺度上分子结构和动力学的强大工具,已应用于各种系统。目前的技术允许使用脉冲整形器和阵列探测器在几十毫秒内获取单个二维红外光谱,但对于要求较高的应用,需要获取许多等待时间的光谱,并且涉及大量的信号平均,导致数据采集时间可能长达数天或数周的实验室测量时间。通过压缩采样,我们表明,在一个特别苛刻的应用中,我们可以将二维红外数据集的采集时间从8天减少到2天,缩短了4倍,而无需更换设备,同时准确再现与该应用最相关的线形信息。这一结果有力地证明了压缩采样在实现二维红外具有挑战性的新应用方面的潜力。

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