This article is cited in 8 papers

Lasers

Simulation of the output power of copper bromide lasers by the MARS method

I. P. Iliev^a, D. S. Voynikova^b, S. G. Gocheva-Ilieva<sup>b

a</sup> Department of Physics, Technical University – Plovdiv, Bulgaria
^b Department of Applied Mathematics and Modelling, Faculty of Mathematics and Informatics, Paisii Hilendarski University of Plovdiv, Bulgaria

Abstract: The dependence of the output power of CuBr lasers (operating at wavelengths of 510.6 and 578.2 nm) on ten input physical parameters has been statistically analysed based on a large amount of experimental data accumulated for these lasers. Regression models have been built using the flexible nonparametric method of multivariate adaptive regression splines (MARS) to describe both linear and nonlinear local dependences. These models cover more than 97% initial data with an error comparable with the experimental error; they are applied to estimate and predict the output powers of both existing and future lasers. The advantage of the models constructed for estimating laser parameters over the standard parametric methods of multivariate factor and regression analysis is demonstrated.

Keywords: copper bromide laser, output laser power, multivariate adaptive regression splines, nonparametric model.

PACS: 02.50.Sk, 42.60.Lh, 42.55.Lt

Received: 28.12.2011

 English version: Quantum Electronics, 2012, 42:4, 298–303

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