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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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 |
work_keys_str_mv |
AT salehidanial semiempiricalrelationshipfortheenergyabsorptionbuildupfactorinsomebiologicalsamples AT sardaridariush semiempiricalrelationshipfortheenergyabsorptionbuildupfactorinsomebiologicalsamples AT jozanimilads semiempiricalrelationshipfortheenergyabsorptionbuildupfactorinsomebiologicalsamples |
_version_ |
1725765663637635072 |