Abstract
A statistical model of nanoprecursors threshold distribution for the interpretation of laser-damage probability curves is investigated. Each kind of precursor is characterized by a Gaussian distribution of threshold. Accurate probability curves of laser-induced damage (1-on-1, 5-ns single shot at 1.064-μm) are plotted in the bulk and at the surfaces of optical components. Results are then fitted with the model presented. A good agreement is obtained between theory and experiment, which permits to identify different kinds of defects and extract their densities and threshold distribution. The interpretation of these data is then discussed according to their nature and origin (cleaning and polishing).
Published Version
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