TY  - JOUR
AU  - Luo, X. L. et al
AU  - Agramunt, J.
AU  - Egea, F. J.
AU  - Gadea, A.
AU  - Huyuk, T.
PY  - 2018
DA  - 2018//
TI  - Pulse pile-up identification and reconstruction for liquid scintillator based neutron detectors
T2  - Nucl. Instrum. Methods Phys. Res. A
JO  - Nuclear Instruments & Methods in Physics Research A
SP  - 59
EP  - 65
VL  - 897
PB  - Elsevier Science Bv
KW  - Pile-up
KW  - Digital
KW  - First-order derivative
KW  - Neutron-gamma discrimination
KW  - Liquid scintillator
AB  - The issue of pulse pile-up is frequently encountered in nuclear experiments involving high counting rates, which will distort the pulse shapes and the energy spectra. A digital method of off-line processing of pile-up pulses is presented. The pile-up pulses were firstly identified by detecting the downward-going zero-crossings in the first-order derivative of the original signal, and then the constituent pulses were reconstructed based on comparing the pile-up pulse with four models that are generated by combining pairs of neutron and.. standard pulses together with a controllable time interval. The accuracy of this method in resolving the pile-up events was investigated as a function of the time interval between two pulses constituting a pile-up event. The obtained results show that the method is capable of disentangling two pulses with a time interval among them down to 20 ns, as well as classifying them as neutrons or gamma rays. Furthermore, the error of reconstructing pile-up pulses could be kept below 6% when successive peaks were separated by more than 50 ns. By applying the method in a high counting rate of pile-up events measurement of the NEutron Detector Array (NEDA), it was empirically found that this method can reconstruct the pile-up pulses and perform neutron-gamma discrimination quite accurately. It can also significantly correct the distorted pulse height spectrum due to pile-up events.
SN  - 0168-9002
UR  - https://doi.org/10.1016/j.nima.2018.03.078
DO  - 10.1016/j.nima.2018.03.078
LA  - English
N1  - WOS:000433206800010
ID  - Luo_etal2018
ER  -