Publication details

<< back
 

Discrimination of neutron and photon signals using time and frequency domain data

Basic information
Original title:Discrimination of neutron and photon signals using time and frequency domain data
Authors:Moslem Amiri, Jaroslav Čechák, Zdeněk Matěj
Further information
Citation:AMIRI, Moslem, Jaroslav ČECHÁK and Zdeněk MATĚJ. Discrimination of neutron and photon signals using time and frequency domain data. In Magnanimitas, Hradec Králové, 2011. International Masaryk Conference for Ph.D. Students and Young Researchers 2011. 1st edition. Hradec Králové, The Czech Republic: Magnanimitas, Hradec Králové, 2011, 2011. p. 2580-2587, 7 pp. ISBN 978-80-904877-7-2.Export BibTeX
@inproceedings{966165,
author = {Amiri, Moslem and Čechák, Jaroslav and Matěj, Zdeněk},
address = {Hradec Králové, The Czech Republic},
booktitle = {International Masaryk Conference for Ph.D. Students and Young Researchers 2011},
edition = {1st edition},
editor = {Magnanimitas, Hradec Králové, 2011},
keywords = {neutron detection; neutron spectroscopy; digital pulse shape discrimination technique; time domain PSD; frequency domain PSD; organic scintillator},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Hradec Králové, The Czech Republic},
isbn = {978-80-904877-7-2},
pages = {2580-2587},
publisher = {Magnanimitas, Hradec Králové, 2011},
title = {Discrimination of neutron and photon signals using time and frequency domain data},
year = {2011}
}
Original language:English
Field:Informatics
Type:Article in Proceedings
Keywords:neutron detection; neutron spectroscopy; digital pulse shape discrimination technique; time domain PSD; frequency domain PSD; organic scintillator

Two new methods for the digital discrimination of neutrons and gamma-rays in a mixed radiation field are presented. There are many methods available which take advantage of time-domain pulse shape discrimination of these two signals. However, there are no methods based on frequency-domain characteristics of them, in particular using discrete Fourier transform (DFT). Applying DFT, we can distinguish between these radiations much better. Combining time and frequency domain PSDs, we can further increase the discrimination quality while improving computation time to be applicable for field measurements.

Related projects:

 
 
top