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Updated: Feb 22, 2026

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Inconsistencia asintótica del algoritmo acumulativo para el análisis de la probabilidad de daño inducido por láser

¹University of Rochester, Laboratory for Laser Energetics, 250 East River Road, Rochester, New York 14623-1299, USA.

The Review of scientific instruments

|February 20, 2026

Abstract:

The "cumulative algorithm" is a data analysis method that has been proposed to provide an objective, nonparametric determination of laser-induced damage probability as a function of fluence from experimental data that contain both damaged sites and undamaged sites (i.e., 1-on-1 or S-on-1 testing protocols). In this work, the limitations of this approach are explored by considering the asymptotic limit of a large number of test sites. It is shown that the cumulative algorithm does not converge to the true probability distribution and significantly underestimates the damage probability near the damage onset. Based on the results of this work, the cumulative algorithm is not recommended for accurate estimation of damage probability.

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