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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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

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spelling	doaj-35f8543b12f8462284e3899b8644f1462021-10-04T12:34:29ZengKlaipėda UniversityComputational Science and Techniques2029-99662021-10-01862563010.15181/csat.v8.2102Statistical modeling for laser induced damage thresholdLeonidas Sakalauskas0Ingrida Vaičiulytė1Vilnius UniversityŠiauliai State CollegeMonte 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.https://e-journals.ku.lt/doi/10.15181/csat.v8.2102Laser Induced Damage ThresholdMonte Carlo methodSample Average ApproximationMaximum Likelihood
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Leonidas Sakalauskas Ingrida Vaičiulytė
spellingShingle	Leonidas Sakalauskas Ingrida Vaičiulytė Statistical modeling for laser induced damage threshold Computational Science and Techniques Laser Induced Damage Threshold Monte Carlo method Sample Average Approximation Maximum Likelihood
author_facet	Leonidas Sakalauskas Ingrida Vaičiulytė
author_sort	Leonidas Sakalauskas
title	Statistical modeling for laser induced damage threshold
title_short	Statistical modeling for laser induced damage threshold
title_full	Statistical modeling for laser induced damage threshold
title_fullStr	Statistical modeling for laser induced damage threshold
title_full_unstemmed	Statistical modeling for laser induced damage threshold
title_sort	statistical modeling for laser induced damage threshold
publisher	Klaipėda University
series	Computational Science and Techniques
issn	2029-9966
publishDate	2021-10-01
description	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.
topic	Laser Induced Damage Threshold Monte Carlo method Sample Average Approximation Maximum Likelihood
url	https://e-journals.ku.lt/doi/10.15181/csat.v8.2102
work_keys_str_mv	AT leonidassakalauskas statisticalmodelingforlaserinduceddamagethreshold AT ingridavaiciulyte statisticalmodelingforlaserinduceddamagethreshold
_version_	1716844111752855552

Statistical modeling for laser induced damage threshold

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