Statistical Techniques For Examining Copper Bromide Laser Parameters

Abstract

Factor analysis, regression analysis and other multivariate statistical techniques were applied for examining the copper bromide operational parameters. The study was carried out for a large amount of the experimental data. The approximate degrees of influence of the input laser parameters on the enhancement of the output laser power and the overall laser efficiency were obtained.

On the Application of the Multidimensional Statistical Techniques for Exploring Copper Bromide Vapor Laser

“…It total, the data from more than 300 experiments from literature have been observed (see [4][5][6] and quoted there references). Many carefully randomized samples were examined in order to cover the strong requirements of the used statistical techniques.…”

“…In papers [4,6] our main goal was to apply the factor analysis to examine the initial variables with respect to the output power Pout. To this end the correlation matrix of all variables, represented by the selected sample of data was obtained (see Table 1).…”

“…In recent papers [4][5][6] we have explored a different approach -a phenomelogical independent study, based on the experimental data. To this end a big amount of data for copper bromide laser with wave lengths 510.6 nm and 578.2 nm, obtained in Metal Vapour Lasers Department Georgi Nadjakov Institute of Sohd State Physics, Bulgarian Academy of Sciences -Sofia in the recent decades were examined (see [4][5][6] and quoted there literature). Different statistical methods, such as multidimensional factor analysis, principal components analysis, multiple regression and others were applied for studying the influence of ten basic input laser parameters on the output laser power and laser efficiency.…”