论文标题
利用多重结构进行傅立叶空间中的线形分析
Taking advantage of multiplet structure for lineshape analysis in Fourier space
论文作者
论文摘要
线形分析是光学元件中经常出现的且通常是计算密集的任务，在存在噪声的情况下，对于多个峰值而言，更是如此。我们演示了一种算法，该算法利用峰值多数（n）来检索线形信息。通过分析Lorentzian和高斯对单个线形的贡献，以实用的光谱测量以及对数量N的灵敏度的线性提高而获得的益处。
Lineshape analysis is a recurrent and often computationally intensive task in optics, even more so for multiple peaks in the presence of noise. We demonstrate an algorithm which takes advantage of peak multiplicity (N) to retrieve line shape information. The method is exemplified via analysis of Lorentzian and Gaussian contributions to individual lineshapes for a practical spectroscopic measurement and benefits from a linear increase in sensitivity with the number N. The robustness of the method and its benefits in terms of noise reduction and order of magnitude improvement in run-time performance are discussed.
