Pattern Recognition in High Multiplicity Events

Abstract

In very high energy collisions, many particles are produced and distributed in the available phase space volume in various ways. With new accelerator facilities (especially, for nucleus–nucleus collisions), the problem of pattern recognition in high multiplicity events becomes crucial in order to classify such events and to separate those with some special features (e.g. ring-like events, jets and other regular patterns). This letter presents the first attempt to use wavelet technique for pattern recognition in nucleus–nucleus collisions. After describing the method in general, we demonstrate its usefulness by applying it to a single event of Pb–Pb collision at 158A GeV with 1072 charged particles produced and discuss results obtained for some other events. Further extension of the method is proposed.