Statistical Prediction Of Laser Generation For A High-Powered Copper Bromide Vapor Laser

摘要

Abstract: Based on multivariate methods of factor analysis and principal component regression, an approach is proposed for predicting the laser generation of a copper bromide vapor laser with a wavelength of 510.6 and 578.2 nm. The influence of 6 independent variables on the increase of laser output power has been considered. New values have been given to the geometric dimensions of the laser tube, the supplied electric power, and hydrogen pressure in order to improve laser generation by up to 17%. Two-dimensional nomograms with statistically valid areas in order to facilitate predictions are presented.