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In this stu dy, two dimensional ( 2D correlation analysis wa s utilized forachieving a significant improvement in the signal to noise (S/N) ratio of laserinduced breakdown spectroscopy (LIBS) data . Time resolved LIBS spectra ofmetallic, bimetal lic targets and the normal LIBS spectra of bimetallic targetswith varying compositions were used for the detailed analysis . The diagonal ofthe matrix in the synchronous spectra was used to demonstrate the improvementin the S/N ratio. An improvemen t in the peak intensities by few order s ofmagnitude accompanied by suppression in the noise was observed. Thecorrelations 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, andionic transitions were visualized in Au Ag bimetallic targets with differentcompositions (Au30Ag70, Au50Ag50, Au80 Ag20). The improved spectra weresubsequently used in the principal component analysis for classificationstudies of four compositions of bimetallic targets Au20Ag80, Au30Ag70, Au50Ag50, and Au80Ag20 The variance of the first three principal components werefound to be improved from the analysis. The accumulated percentage of explainedvariance of 95 was achieved with the first three components from improvedspectra whereas only ~ 80 was achieved with the regular LIBS spectra from PCAstudies

Improving the Signal-to-Noise Ratio of Atomic Transition Peaks in LIBS Using Two-dimensional Correlation Analysis