Application of deconvolution based pattern recognition algorithm for identification of rings in spectra from RICH detectors

This paper proposes a new pattern recognition algorithm that is applied to determine rings in two-dimensional spectra from RICH detectors. It defines a two-dimensional boosted Gold deconvolution algorithm. This paper also thoroughly analyzes and studies the influence of input parameters for different kinds of data. By choosing suitable input parameters for deconvolution one can obtain an efficient tool for identifying rings in two-dimensional spectra. Illustrative examples prove in favor of the proposed algorithm.