Analysis of RICH Detector Images Using a Neural Network
摘要
Abstract
The paper considers a possibility of processing signals from a RICH detector using a neural network when a high-energy particle passes through it at an angle to the sensitive plane. It is shown that only the coordinates of the initiated photomultiplier tubes are required in this case to determine the charge, velocity, and angle of a particle.