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Computer Physics Communications
Volume 176, Issue 4, 15 February 2007, Pages 305-317
 
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doi:10.1016/j.cpc.2006.11.002    
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Copyright © 2006 Elsevier B.V. All rights reserved.

MICELLE, the micelle size effect on the LS counting efficiencystar, open

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A. Grau CarlesCorresponding Author Contact Information, a, E-mail The Corresponding Author

aIMAFF/CSIC, Edif. 113b, Dcho. 211, C/Serrano 113, 28006 Madrid, Spain


Received 18 August 2006; 
revised 29 September 2006; 
accepted 23 October 2006. 
Available online 4 December 2006.

Abstract

This version extends the computation of the liquid-scintillation counting efficiency to electron-capture radionuclides of 30less-than-or-equals, slantZless-than-or-equals, slant54. The simplified deterministic models of previous versions are replaced by a complete stochastic model, which considers all possible subshells involved in the atomic rearrangement of the atom. The program can simulate samples in the gel phase, including the effects of the micelles on the counting efficiency. These effects have been found to be useful for building nanodosimeters based on gel scintillators.

Program summary

Title of program: MICELLE

Catalogue identifier:ACPU_v3_0

Program summary URL: http://cpc.cs.qub.ac.uk/summaries/ACPU_v3_0

Program obtainable from: CPC Program Library, Queen's University of Belfast, N. Ireland

Licensing previsions: none

Computers revisions: any IBM PC compatible with 80386 or higher Intel processors

Operating systems under which the program has been tested: MS-DOS and higher systems

Programming language used: FORTRAN 77

Memory required to execute with typical data: 235 kword

No. of bits in a word: 16

No. of lines in distributed program, including test data, etc.: 16 653

No. of bytes in distributed program, including test data, etc.: 358 166

Distribution format: tar.gz

Nature of the physical problem: Both β and electron-capture are decay processes characterized by a large variability in energy. In the first case, one single β-particle is emitted per decay following the Fermi distribution. In the second, several electrons (Auger and/or Coster–Kronig) of very different energies can be ejected simultaneously. The detailed simulation of these two electron release processes has practical interest in two situations: (1) to standardize radionuclides with a liquid-scintillation counter, (2) to compute the absorbed dose in the surroundings of a radiolabeled molecule.

Method of solution: Although the application of simplified deterministic models is sufficiently accurate for pure β-ray emitters, the large stochastic variability of both electron-capture and internal conversion processes restricts the accuracy of the deterministic models KLM, KLMN and KL1L2L3M to nuclides of low atomic numbers. To extend the applicability of the method to larger nuclei, both Mi- and Nj-subshells must be included into the model. However, the addition of these outer atom subshells to the deterministic model involves a huge number of atomic rearrangement pathways, requiring from simplifications which are frequently limited to certain nuclides. A more feasible method considers using random numbers to simulate step by step the rearrangement of the atom.

Restrictions on the complexity of the problem: The program is restricted to radionuclides of atomic numbers within the interval 30less-than-or-equals, slantZless-than-or-equals, slant54. This version ignores the photoionization quench correction, which can be obviated for Zgreater-or-equal, slanted30. On the other hand, the simulation of the mechanisms of multiple ionization require from more elaborated models for Z>54. Experiments with gases are only available for nuclides with atomic numbers larger than that of 131I, for which the emission of Auger electrons, and consequently the ionization of xenon (Z=54), stops for transitions outer than N4O2O2.

Keywords: Radioactivity; Liquid-scintillation counting; Electron-capture decay

PACS classification codes: 07.57.Kp; 29.30.Dn

Article Outline

1. Introduction
2. Description of the method
2.1. Monte Carlo simulation of electron-capture and internal conversion transitions
2.2. The counting efficiency
2.3. Ionization spectrum
3. Program structure
4. Input–output data files
5. Test run
Acknowledgements
Appendix A. Test run output
Example 1
Example 2
References






star, openThis paper and its associated computer program are available via the Computer Physics Communications homepage on ScienceDirect (http://www.sciencedirect.com/science/journal/00104655).


Corresponding Author Contact InformationTel.: +34 91 561 68 00 (3211); fax: +34 91 585 48 94.

Computer Physics Communications
Volume 176, Issue 4, 15 February 2007, Pages 305-317
 
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