Automated identification of genuine cut diamonds (brilliants) by luminescence spectrum

IF 0.4 Q4 MATHEMATICS, APPLIED
S. Zienko, V. Zhbanova, I. Yakimenko
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引用次数: 0

Abstract

The problem of recognition of natural and synthetic diamonds (diamonds) is relevant today. A technique for computer processing of the luminescence spectra of diamonds using the Origin mathematical package is proposed. The processing technique is presented on specific examples. The spectra were measured using a RAOS-3 spectrometer-fluorimeter. A laser with a wavelength of 532 nm was used to excite diamond luminescence. A method is proposed for identifying diamonds of unknown origin by the number of bands of elementary components in the luminescence spectrum when decomposed into Gaussian curves. Luminescence spectra in faceted diamonds (brilliants) are widely used to study their physical properties. Synthetic faceted diamonds are significantly inferior to natural ones in terms of luminescence intensity. The light signal of photoluminescence in the former, in some cases, is comparable with the noise level of the measuring device. As a result, the instantaneous value of the useful signal can take both positive and negative values over the entire wavelength range of the spectrum. Therefore, the detection of a useful signal against the background of interference is of great importance. Along with this, to identify a diamond, it is necessary to solve the problem of decomposing the spectrum into elementary components in the form of Gaussian curves. Since it has been established that the spectra of natural diamonds consist of two peaks, while synthetic diamonds contain from three to eight peaks, which indicates a loose structure of the diamond crystal lattice. The efficiency of solving a number of these problems can be significantly improved by using software applications with special functionality. To demonstrate the features and advantages of the automated technique, the Origin mathematical package was taken, which, in particular, makes it possible to improve the quality of the results of processing a low luminescence spectrum and to find the number of peaks for Gaussian curves with sufficient accuracy.
用发光光谱自动识别真切割钻石
识别天然和合成钻石(钻石)的问题与今天有关。提出了一种利用Origin数学包对金刚石发光光谱进行计算机处理的方法。通过具体实例介绍了处理方法。光谱测量采用RAOS-3分光光度计。利用波长为532 nm的激光激发金刚石发光。提出了一种利用高斯曲线分解后发光光谱中基本成分的频带数来识别未知来源钻石的方法。多面钻石的发光光谱被广泛用于研究其物理性质。在发光强度方面,合成多面钻石明显不如天然钻石。在某些情况下,前者的光致发光的光信号与测量装置的噪声级相当。因此,有用信号的瞬时值可以在光谱的整个波长范围内取正值和负值。因此,在有干扰的背景下检测出有用的信号是非常重要的。与此同时,为了识别钻石,需要解决将光谱分解成高斯曲线形式的初等分量的问题。由于已经确定天然钻石的光谱由两个峰组成,而合成钻石的光谱则由3到8个峰组成,这表明钻石的晶格结构松散。通过使用具有特殊功能的软件应用程序,可以显著提高解决这些问题的效率。为了证明自动化技术的特点和优势,采用Origin数学软件包,特别是可以提高处理低发光光谱的结果质量,并以足够的精度找到高斯曲线的峰数。
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CiteScore
0.70
自引率
0.00%
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