Programs in Physics & Physical Chemistry
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|Manuscript Title: VIASKL: a computer program to evaluate the liquid scintillation counting efficiency and its associated uncertainty for K-L-atomic shell electron-capture nuclides.|
|Authors: J.M. Los Arcos, A. Grau, A. Fernandez|
|Program title: VIASKL|
|Catalogue identifier: AATN_v1_0|
Distribution format: gz
|Journal reference: Comput. Phys. Commun. 44(1987)209|
|Programming language: Fortran.|
|Computer: CYBER 170/855.|
|Operating system: NOS 2.4.2.|
|RAM: 20K words|
|Word size: 60|
|Keywords: Nuclear physics, Activity detection, Electron capture, Efficiency, Liquid scintillation, Uncertainty.|
Nature of problem:
The accurate calibration of electron-capture nuclides by liquid- scintillation counting requires a knowledge of the counting efficiency. This efficiency can be calculated as a function of the figure of merit using a model - based on an in depth analysis of the detection processes involved. The influence of the uncertainties of the atomic parameters is taken into account in order to state the confidence limits of the predicted efficiency.
A KL shell electron-capture model is assumed for the radionuclide decay and the contribution of X-ray and Auger transitions between shells to the 21 atomic rearrangement pathways is calculated. The efficiency is obtained for each figure of merit as a weighted sum over the 21 terms. A random simulation of statistical fluctuations of the parameters leads to an estimation of the uncertainty of the computed efficiency.
The model assumes a pure electron-capture nuclide; it does not take into account more complex decay schemes with gamma transitions following the capture. The contribution of electron capture in shells M or higher to the total counting efficiency is neglected.
The program is self-contained; random numbers are generated by a machine independent algorithm to enable the user to reproduce the test run results. Better speed performances can be achieved using the machine- dependent standard packages implemented in each installation.
The test requires about 7 s of CPU executing time for each computation with 100 sets of simulated parameters.
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