Event Classification in (Anti)Neutrino Experiments Using an Internal Picket Fence-External Muon Identifier (IPF-EMI) Detector System

摘要

An algorithm to make a decision about the interaction type of events as seen in (anti)neutrino experiments is presented. About 90 percent of all recorded events are classified without ambiguities. The remaining 10 percent consists of events which are ambiguous or do not contain the data needed for classification. By introducing kinematical cuts, a sample may be obtained that permits the remaining 10 percent of the events to be classified by means of a statistical method.