Semi-empirical relationship for the energy absorption buildup factor in some biological samples

Energy absorption buildup factors in the energy range of 0.2 MeV to 2 MeV using a geometric progression fitting approximation in some selected essential amino acids, fatty acids and carbohydrate molecules have been obtained. A semi empirical relation-ship describing energy absorption buildu...

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Main Authors: Salehi Danial, Sardari Dariush, Jozani Milad S.
Format: Article
Language:English
Published: VINCA Institute of Nuclear Sciences 2016-01-01
Series:Nuclear Technology and Radiation Protection
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/1451-3994/2016/1451-39941604382S.pdf
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spelling doaj-51b88997207848808a61e910a117b6692020-11-24T22:23:10ZengVINCA Institute of Nuclear SciencesNuclear Technology and Radiation Protection1451-39941452-81852016-01-0131438238710.2298/NTRP1604382S1451-39941604382SSemi-empirical relationship for the energy absorption buildup factor in some biological samplesSalehi Danial0Sardari Dariush1Jozani Milad S.2Islamic Azad University, Department of Radiological and Nuclear Engineering, Science and Research Branch, Tehran, IranIslamic Azad University, Department of Radiological and Nuclear Engineering, Science and Research Branch, Tehran, IranIslamic Azad University, Faculty of Engineering, South Tehran Branch, Tehran, IranEnergy absorption buildup factors in the energy range of 0.2 MeV to 2 MeV using a geometric progression fitting approximation in some selected essential amino acids, fatty acids and carbohydrate molecules have been obtained. A semi empirical relation-ship describing energy absorption buildup factors as a function of penetration depth, Compton scattering and energy absorption cross-section is used. This semi empirical method was defined in an earlier work on water and soft tissue by one of the present authors. We used this method for the calculating energy absorption buildup factor in biological samples. The results are compared with the energy absorption buildup factors data of the geometric progression fitting method. Good agreement between semi empirical and geometric progression fitting methods has been observed, so that average deviation is less than 2 % for all samples.http://www.doiserbia.nb.rs/img/doi/1451-3994/2016/1451-39941604382S.pdfbuildup factorGP fittingbiological samplesemi empirical relationship
collection DOAJ
language English
format Article
sources DOAJ
author Salehi Danial
Sardari Dariush
Jozani Milad S.
spellingShingle Salehi Danial
Sardari Dariush
Jozani Milad S.
Semi-empirical relationship for the energy absorption buildup factor in some biological samples
Nuclear Technology and Radiation Protection
buildup factor
GP fitting
biological sample
semi empirical relationship
author_facet Salehi Danial
Sardari Dariush
Jozani Milad S.
author_sort Salehi Danial
title Semi-empirical relationship for the energy absorption buildup factor in some biological samples
title_short Semi-empirical relationship for the energy absorption buildup factor in some biological samples
title_full Semi-empirical relationship for the energy absorption buildup factor in some biological samples
title_fullStr Semi-empirical relationship for the energy absorption buildup factor in some biological samples
title_full_unstemmed Semi-empirical relationship for the energy absorption buildup factor in some biological samples
title_sort semi-empirical relationship for the energy absorption buildup factor in some biological samples
publisher VINCA Institute of Nuclear Sciences
series Nuclear Technology and Radiation Protection
issn 1451-3994
1452-8185
publishDate 2016-01-01
description Energy absorption buildup factors in the energy range of 0.2 MeV to 2 MeV using a geometric progression fitting approximation in some selected essential amino acids, fatty acids and carbohydrate molecules have been obtained. A semi empirical relation-ship describing energy absorption buildup factors as a function of penetration depth, Compton scattering and energy absorption cross-section is used. This semi empirical method was defined in an earlier work on water and soft tissue by one of the present authors. We used this method for the calculating energy absorption buildup factor in biological samples. The results are compared with the energy absorption buildup factors data of the geometric progression fitting method. Good agreement between semi empirical and geometric progression fitting methods has been observed, so that average deviation is less than 2 % for all samples.
topic buildup factor
GP fitting
biological sample
semi empirical relationship
url http://www.doiserbia.nb.rs/img/doi/1451-3994/2016/1451-39941604382S.pdf
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AT sardaridariush semiempiricalrelationshipfortheenergyabsorptionbuildupfactorinsomebiologicalsamples
AT jozanimilads semiempiricalrelationshipfortheenergyabsorptionbuildupfactorinsomebiologicalsamples
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