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.
@article{arxiv.1512.04677,
title = {Track identification and reconstruction in fast neutron detection by MPGD},
author = {Yi Zhang and Huiyin Wu and Shengying Zhao and Bitao Hu},
journal= {arXiv preprint arXiv:1512.04677},
year = {2015}
}