On the role of LET-dependent parameters in the determination of the absorbed dose by in-phantom recombination chambers

Natalia Golnik , Maciej Grzegorz Maciak


The paper discusses the theoretical background in terms of the use of in-phantom recombination chambers in mixed radiation fields, with special attention paid to the question of how the experimentally determined, linear-energy-transfer-dependent (LET) parameters can be applied with regard to the more accurate determination of the chamber response and absorbed dose in mixed radiation fields. Methods of taking the recombination index of radiation quality (RIQ) measurements and theoretical consideration concerning the determination of the absorbed dose are described. Classical Bragg-Gray and Spencer-Attix cavity theories were analysed and their relationship to in-phantom recombination chambers was specified. Methods concerning the estimation of correction factors with regard to RIQ measurements and their importance are highlighted.
Author Natalia Golnik (FM / IMBE)
Natalia Golnik,,
- The Institute of Metrology and Biomedical Engineering
, Maciej Grzegorz Maciak (FM / IMBE)
Maciej Grzegorz Maciak,,
- The Institute of Metrology and Biomedical Engineering
Journal seriesNukleonika, ISSN 0029-5922, (A 15 pkt)
Issue year2018
Publication size in sheets0.5
Keywords in Polishfantomowe komory rekombinacyjne, dawka pochłonięta, teoria wnęki
Keywords in Englishin-phantom recombination chambers, absorbed dose, cavity theory
ASJC Classification2311 Waste Management and Disposal; 3104 Condensed Matter Physics; 2213 Safety, Risk, Reliability and Quality; 3105 Instrumentation; 2104 Nuclear Energy and Engineering; 3106 Nuclear and High Energy Physics
URL http://www.nukleonika.pl/www/back/full/vol63_2018/v63n1p09f.pdf
Languageen angielski
Score (nominal)15
ScoreMinisterial score = 15.0, 11-03-2019, ArticleFromJournal
Ministerial score (2013-2016) = 15.0, 11-03-2019, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.423; WoS Impact Factor: 2017 = 0.72 (2) - 2017=0.61 (5)
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