Statistical modeling for laser induced damage threshold

Statistical modeling for laser induced damage threshold

Monte Carlo experiments are an efficient tool for investigation of the Laser-Induced Damage Threshold (LIDT) testing with pulsed lasers. In this study, the approach of sequential Monte Carlo search is developed for LIDT testing with bundle of laser pulses and compared with the approach of Sample Ave...

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Bibliographic Details
Main Authors: Leonidas Sakalauskas, Ingrida Vaičiulytė
Format: Article
Language:English
Published: Klaipėda University 2021-10-01
Series:Computational Science and Techniques
Subjects:
Laser Induced Damage Threshold
Monte Carlo method
Sample Average Approximation
Maximum Likelihood
Online Access:https://e-journals.ku.lt/doi/10.15181/csat.v8.2102
Description
Summary:Monte Carlo experiments are an efficient tool for investigation of the Laser-Induced Damage Threshold (LIDT) testing with pulsed lasers. In this study, the approach of sequential Monte Carlo search is developed for LIDT testing with bundle of laser pulses and compared with the approach of Sample Average Approximation (SAA). The likelihood ratio test is applied to accept or reject the hypothesis about the data distribution.
ISSN:2029-9966

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