Calibration of a spectrometer using a genetic algorithm

This paper is on digital processing of data acquired by means of low-resolution spectrometers. A procedure for calibration of such spectrometers is proposed which provides parameters of operators for correcting effects of imperfect spectrometric hardware. The procedure, based on the use of a genetic algorithm of global optimization, is studied using both synthetic and real-world data, viz, it is used for estimating parameters of three nonlinear operators of data correction: a rational filter (published in a previous paper), a Cauchy filter (CF) (proposed in this paper), and a superposition of two Cauchy filters. The results of study are presented that confirm the practical usefulness of the proposed procedure for calibration of spectrometers and of the proposed Cauchy filter.