Time-scale characterization of neutron and gamma signals using continuous wavelet transform

In this paper, we tackled the neutron-gamma discrimination at the output of stilbene organic scintillation detector as a blind source separation problem. The estimation of the output signal of stilbene detector is performed using Second order NMF (Nonnegative Matrix Factorization) and NTF-2 Nonnegative Tensor Factorization) methods. The recovered independent components issued from the application of these two methods are then used to define a qualitative criterion for neutron-gamma ray's characterization. For enhancing the performance of this characterization we proposed Otsu's image thresholding method as image processing technique to segment the scalograms into significant regions with the aim to extract neutron and gamma ray signals from the background.