Track identification and reconstruction in fast neutron detection by MPGD

Abstract

Micro pattern gaseous detectors have been widely used in position measurements of particle detection in the last two decades. In this work a novel method of track identification and reconstruction was developed for fast neutron detection by MPGD, which in most cases requires a strong rejection of the gamma background. Based on this method, an online tracking system can be built in a FPGA-based Daq system to significantly improve both the capability of counting rate and the spatial resolution. This work also offers a potential usage in future hadron experiments such as SoLID spectrometer in Jeffereson Lab.