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Micro pattern gaseous detectors have been widely used in positionmeasurements of particle detection in the last two decades. In this work anovel method of track identification and reconstruction was developed for fastneutron detection by MPGD, which in most cases requires a strong rejection ofthe gamma background. Based on this method, an online tracking system can bebuilt in a FPGA-based Daq system to significantly improve both the capabilityof counting rate and the spatial resolution. This work also offers a potentialusage in future hadron experiments such as SoLID spectrometer in JefferesonLab.

Track identification and reconstruction in fast neutron detection by MPGD