Improving the Signal-to-Noise Ratio of Atomic Transition Peaks in LIBS Using Two-dimensional Correlation Analysis
Linga Murthy Narlagiri, S. Venugopal Rao

TL;DR
This paper demonstrates that two-dimensional correlation analysis significantly enhances the signal-to-noise ratio in LIBS data, enabling better peak detection and improved classification of bimetallic targets.
Contribution
The study introduces the application of 2D correlation analysis to LIBS spectra, achieving substantial noise suppression and improved spectral feature visualization for material classification.
Findings
Peak intensities increased by several orders of magnitude.
Noise was effectively suppressed in the spectra.
Principal component analysis showed improved variance explanation.
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLaser-induced spectroscopy and plasma · Analytical chemistry methods development · Cultural Heritage Materials Analysis
