Determination of Digital Spectra Parameters and their Analysis

In this paper, a method for multidimensional optimization of digital spectra is discussed in order to determine the key parameters of spectral lines using software resources. Given that the line profile can be described by a Gaussian function, multidimensional optimization is performed. The outcome of the program is a set of values for the fundamental parameters of the spectral line, as well as the determination of standard error values. To accomplish this, a statistical technique is employed that allows for the calculation of standard errors based on generated random samples. Additionally, the paper examines various factors that may influence the accuracy of the results.