Application of principal component analysis for streak images: quality improvement in LIBS experiments

In this paper, a streak camera system is used for obtaining the spectral images in laser-induced breakdown spectroscopy. Streak images are time-resolved, thus enabling tracking of the temporal development of the atomic and ionic emission lines from the plasma plume. To make our study more comprehens...

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Bibliographic Details
Published in:Pramāṇa 2024-03, Vol.98 (2), Article 39
Main Authors: Pavlovic, Dragana M, Sevic, Dragutin, Marinkovic, Bratislav P, Rabasovic, Maja S
Format: Article
Language:English
Subjects:
Astronomy
Astrophysics and Astroparticles
Observations and Techniques
Physics
Physics and Astronomy
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Summary:In this paper, a streak camera system is used for obtaining the spectral images in laser-induced breakdown spectroscopy. Streak images are time-resolved, thus enabling tracking of the temporal development of the atomic and ionic emission lines from the plasma plume. To make our study more comprehensive, we have used a machine-learning approach to data analysis. We propose how to reduce the level of noise on streak images by applying the principal component analysis technique. The usual method of improving the signal-to-noise ratio by taking a large number of expositions in streak camera photon counting mode is often not practical.
ISSN:0973-7111
0973-7111
DOI:10.1007/s12043-023-02716-9