Identification of isotope lines in two-dimensional spectra of nuclear multifragmentation

In the paper, we propose new algorithm of the determination of ridges in two-dimensional spectra of nuclear multifragmentation. The algorithm is based on slicing the raw data and their subsequent linearization. To find corresponding points, which contribute to the estimate of fitted line parameters in sparsely distributed linearized data, as well as to span gaps and decrease statistical fluctuations, the algorithm is based on smoothing technique using second derivatives of Gaussian. In the paper, we analyze and study thoroughly the influence of various parameters. Illustrative examples prove in favor of the proposed algorithm.