AMIRI, Moslem, Jaroslav ČECHÁK and Zdeněk MATĚJ. Discrimination of neutron and photon signals using time and frequency domain data. GRANT Journal. Hradec Králové, Czech Republic: MAGNANIMITAS Assn., 2012, 01/2012, No 01, p. 1-4. ISSN 1805-0638.
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Original name Discrimination of neutron and photon signals using time and frequency domain data
Authors AMIRI, Moslem (364 Islamic Republic of Iran, guarantor, belonging to the institution), Jaroslav ČECHÁK (203 Czech Republic, belonging to the institution) and Zdeněk MATĚJ (203 Czech Republic, belonging to the institution).
Edition GRANT Journal, Hradec Králové, Czech Republic, MAGNANIMITAS Assn. 2012, 1805-0638.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14330/12:00057050
Organization unit Faculty of Informatics
Keywords in English Neutron detection; neutron spectroscopy; digital pulse shape discrimination technique; time domain PSD; frequency domain PSD; organic scintillator
Tags International impact, Reviewed
Changed by Changed by: RNDr. Moslem Amiri, Ph.D., učo 328023. Changed: 1. 9. 2014 05:33.
Abstract
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.
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TA01011383, research and development projectName: Digitální spektrometrický systém jaderného záření
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