Abstract Raman spectroscopy offers a nondestructive means to identify minerals in rocks, but the ability to use the technology for quantitative mineralogical analysis is limited by fluorescence that can mask the spectral features of minerals. In this paper we apply continuous wavelet transformation (CWT) to remove fluoresence from Raman data acquired from 26 carbonate rock samples. We then record the intensity values of individual spectral features, proxies for mineral abundances, using the original Raman data and the thus inferred CWT data. The intensity values are then compared against the known mineral abundances determined using the scanning electron microscope (SEM) technology. This comparison is conducted using a linear regression model to determine whether fluorescence removal enhances the mineral abundance predictions. Our results suggest that CWT enhances the accuracy of mineral abundance estimates, thus highlighting the importance of fluorescence removal when using Raman for quantitative mineralogical analysis.

中文翻译：

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基于连续小波变换的拉曼荧光校正增强对石灰石中硅灰石和方解石的定量

摘要 拉曼光谱提供了一种识别岩石中矿物的无损手段，但利用该技术进行定量矿物学分析的能力受到荧光的限制，荧光会掩盖矿物的光谱特征。在本文中，我们应用连续小波变换 (CWT) 从 26 个碳酸盐岩样品中获取的拉曼数据中去除荧光。然后，我们使用原始拉曼数据和由此推断的 CWT 数据记录各个光谱特征的强度值，矿物丰度的代表。然后将强度值与使用扫描电子显微镜 (SEM) 技术确定的已知矿物丰度进行比较。这种比较是使用线性回归模型进行的，以确定荧光去除是否增强了矿物丰度预测。