在这项研究中，二维（2D）相关分析被用来实现一个显着的改善的信号噪声比（S/N）的激光诱导击穿光谱（LIBS）数据。详细分析了金属靶、铝靶的时间分辨LIBS谱和不同成分铝靶的常规LIBS谱。同步谱中矩阵的对角线用于证明S/N比的改善。观察到峰强度的几个数量级的改善伴随着噪声的抑制。LIBS峰之间的相关性也使用2D图可视化。原子跃迁的相关强度在铝（Al），铜（Cu）和黄铜中可视化，而原子，原子和离子跃迁的相关强度在具有不同组成的Au Ag双金属靶（Au 30 Ag 70，Au 50 Ag 50，Au 80 Ag 20）中可视化。改进后的光谱用于主成分分析，对Au_（20）Ag_（80）、Au_（30）Ag_（70）、Au_（50）Ag_（50）和Au_（80）Ag_（20）四种组分进行了分类研究。用改进谱的前三个分量实现了95的解释方差的累积百分比，而用来自PCA研究的常规LIBS谱仅实现了~ 80
英文摘要：
In this stu dy, two dimensional ( 2D correlation analysis wa s utilized for achieving a significant improvement in the signal to noise (S/N) ratio of laser induced breakdown spectroscopy (LIBS) data . Time resolved LIBS spectra of metallic, bimetal lic targets and the normal LIBS spectra of bimetallic targets with varying compositions were used for the detailed analysis . The diagonal of the matrix in the synchronous spectra was used to demonstrate the improvement in the S/N ratio. An improvemen t in the peak intensities by few order s of magnitude accompanied by suppression in the noise was observed. The correlations between LIBS peaks were also visualized using 2 D plots. Correlation strengths of atomic transitions were visualized in Aluminum (Al), Copper (Cu), and Brass whereas correlation strengths of atomic, atomic, and ionic transitions were visualized in Au Ag bimetallic targets with different compositions (Au30Ag70, Au50Ag50, Au80 Ag20). The improved spectra were subsequently used in the principal component analysis for classification studies of four compositions of bimetallic targets Au20Ag80, Au30Ag70, Au50 Ag50, and Au80Ag20 The variance of the first three principal components were found to be improved from the analysis. The accumulated percentage of explained variance of 95 was achieved with the first three components from improved spectra whereas only ~ 80 was achieved with the regular LIBS spectra from PCA studies
