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首页> 外文期刊>Spectrochimica Acta, Part B. Atomic Spectroscopy >Evaluation of the standard normal variate method for Laser-Induced Breakdown Spectroscopy data treatment applied to the discrimination of painting layers
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Evaluation of the standard normal variate method for Laser-Induced Breakdown Spectroscopy data treatment applied to the discrimination of painting layers

机译：激光诱导击穿光谱数据处理的标准正态变量方法对涂装层鉴别的评估

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摘要

Nowadays, Laser-Induced Breakdown Spectroscopy (LIBS) is frequently used for in situ analyses to identify pigments from mural paintings. Nonetheless, in situ analyses require a robust instrumentation in order to face to hard experimental conditions. This may imply variation of fluencies and thus inducing variation of LIBS signal, which degrades spectra and then results. Usually, to overcome these experimental errors, LIBS signal is processed. Signal processing methods most commonly used are the baseline subtraction and the normalization by using a spectral line. However, the latter suggests that this chosen element is a constant component of the material, which may not be the case in paint layers organized in stratigraphic layers. For this reason, it is sometimes difficult to apply this normalization. In this study, another normalization will be carried out to throw off these signal variations. Standard normal variate (SNV) is a normalization designed for these conditions. It is sometimes implemented in Diffuse Reflectance Infrared Fourier Transform Spectroscopy and in Raman Spectroscopy but rarely in LIBS. The SNV transformation is not newly applied on LIBS data, but for the first time the effect of SNV on LIBS spectra was evaluated in details (energy of laser, shot by shot, quantification). The aim of this paper is the quick visualization of the different layers of a stratigraphic painting sample by simple data representations (3D or 2D) after SNV normalization.
机译：如今，激光诱导击穿光谱法（LIBS）经常用于原位分析，以从壁画中鉴定颜料。但是，原位分析需要强大的仪器才能面对严峻的实验条件。这可能意味着流量的变化，并因此引起LIBS信号的变化，这会降低频谱并导致结果下降。通常，为了克服这些实验错误，可以处理LIBS信号。最常用的信号处理方法是基线减法和使用频谱线进行归一化。但是，后者表明所选元素是材料的恒定成分，在按地层组织的油漆层中可能并非如此。因此，有时很难应用此归一化。在这项研究中，将进行另一项归一化以消除这些信号变化。标准正态变量（SNV）是针对这些条件设计的归一化方法。有时在漫反射红外傅里叶变换光谱和拉曼光谱中实施，但在LIBS中很少采用。 SNV变换不是新应用到LIBS数据上，而是首次详细评估了SNV对LIBS光谱的影响（激光能量，逐次发射，定量）。本文的目的是在SNV归一化之后，通过简单的数据表示（3D或2D）快速可视化地层画样本的不同层。

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