A method that uses fuzzy clustering algorithms to achieve particle identification based on pulse shape analysis is presented. The fuzzy c-means clustering algorithm is used to compute mean (principal) pulse shapes induced by different particle species in an automatic and unsupervised fashion from a mixed set of data. A discrimination amplitude is proposed using these principal pulse shapes to identify the originating particle species of a detector pulse. Since this method does not make any assumptions about the specific features of the pulse shapes, it is very generic and suitable for multiple types of detectors. The method is applied to discriminate between photon- and proton-induced signals in CsI(Tl) scintillator detectors and the results are compared to the well-known integration method.
@article{arxiv.1304.1651,
title = {Particle identification using clustering algorithms},
author = {R. Wirth and E. Fiori and B. Löher and D. Savran and J. Silva and H. Álvarez Pol and D. Cortina Gil and B. Pietras and T. Bloch and T. Kröll and E. Nácher and Á. Perea and O. Tengblad and M. Bendel and M. Dierigl and R. Gernhäuser and T. Le Bleis and M. Winkel},
journal= {arXiv preprint arXiv:1304.1651},
year = {2013}
}