Authors:
T. Hashimoto Niigata University Department of Chemistry, Faculty of Science Ikarashi-ninocho 950-21 Niigata-shi (Japan)

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M. Noguchi Niigata University Department of Chemistry, Faculty of Science Ikarashi-ninocho 950-21 Niigata-shi (Japan)

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H. Washio Niigata University Department of Chemistry, Faculty of Science Ikarashi-ninocho 950-21 Niigata-shi (Japan)

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Y. Yamamoto Niigata University Department of Chemistry, Faculty of Science Ikarashi-ninocho 950-21 Niigata-shi (Japan)

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Y. Uezu Niigata University Department of Chemistry, Faculty of Science Ikarashi-ninocho 950-21 Niigata-shi (Japan)

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Abstract  

A delayed coincidence method has been developed for the selective extraction of radionuclides with half-lives of millisecond order using a personal computer. The time interval analysis is fundamentally based on the distinction of the time interval distribution between the correlated and random events, which arise from radioactive disintegration and/or background events within a certain fixed time. Theoretical functions of a time spectrum or a time distribution curve were dealt with from aspects of statistical treatments consisting of a single time interval analysis and a multiple one (STA and MTA). The theoretical equations obtained were used to simulate time spectra on the assumption of some ideal data and compared with the experimental results. Conclusively, the MTA method has been verified to be more suitable for the selective extraction of the objective correlated events from random or background events for the search of radioactive nuclides with millisecond life-times.

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Journal of Radionalytical and Nuclear Chemistry
Language English
Size A4
Year of
Foundation
1968
Volumes
per Year
1
Issues
per Year
12
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0236-5731 (Print)
ISSN 1588-2780 (Online)