nuclear counting
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2016 ◽  
Vol 63 (5) ◽  
pp. 2671-2676 ◽  
Author(s):  
Romain Coulon ◽  
Jonathan Dumazert ◽  
Vladimir Kondrasovs ◽  
Emmanuel Rohee ◽  
Stephane Normand

2016 ◽  
Author(s):  
Jennifer A. Church ◽  
Michaele Kashgarian ◽  
Todd Wooddy ◽  
Bob Haslett ◽  
Phil Torretto
Keyword(s):  

2016 ◽  
Vol 87 ◽  
pp. 13-23 ◽  
Author(s):  
R. Coulon ◽  
J. Dumazert ◽  
V. Kondrasovs ◽  
S. Normand

Metrologia ◽  
2015 ◽  
Vol 52 (3) ◽  
pp. S3-S17 ◽  
Author(s):  
S Pommé ◽  
R Fitzgerald ◽  
J Keightley
Keyword(s):  

2012 ◽  
Vol 7 (3) ◽  
pp. 246-248
Author(s):  
M. Nazrul Islam ◽  
Kh. Asaduzzama ◽  
Mahbubul Hoq

2012 ◽  
pp. 125-140
Author(s):  
Simon R. Cherry ◽  
James A. Sorenson ◽  
Michael E. Phelps

2011 ◽  
Vol 26 (2) ◽  
pp. 164-170 ◽  
Author(s):  
Cemal Dolicanin ◽  
Koviljka StankoviC ◽  
Diana Dolicanin ◽  
Boris Loncar

Since the exact time a specific nucleus undergoes radioactive decay cannot be specified, nor can showers caused by secondary cosmic rays be predicted, statistical laws play an important role in almost all cases of experimental nuclear physics. This paper describes the method for the statistical treatment of nuclear counting results obtained experimentally by taking into account random variables pertaining to both frequent and infrequent phenomena. When processing counting measurement data, it is recommended to first discard spurious random variables that spoil the statistics by using Chauvenet?s criterion, as well as to test if the results in the statistical sample follow a unique statistical distribution by using the Wilcoxon rank-sum test (U-test). The verification of the suggested statistical method was performed on counting statistics obtained both from the radioactive source Cs-137 and background radiation, expected to follow the normal distribution and the Poisson distribution, respectively. Results show that the application of the proposed statistical method excludes random fluctuations of the radioactive source or of the background radiation from the total statistical sample, as well as possible inadequacies in the experimental set-up and show an extremely effective agreement of the theoretical distribution of random variables with the corresponding experimentally obtained random variables.


1989 ◽  
Vol 43 (2) ◽  
pp. 223-226 ◽  
Author(s):  
Edmund A. Huff ◽  
Delbert L. Bowers

The determination of trace-metal impurities in plutonium metal was investigated with the use of anion exchange separation and analysis by inductively coupled plasma/atomic emission spectrometry. Data on recoveries and independent measurements for some 30 elements show precisions and accuracies in the 1–10% range, values that are a significant improvement over those of traditional carrier distillation techniques. Americium can be determined on the same sample aliquot, with figures of merit rivaling those of nuclear counting procedures.


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