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Development of a computer code for the calculation of self-absorption correction factors in γ- spectrometry applications

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dc.contributor.author Alafogiannis, Ioannis
dc.contributor.author Tugnoli, Francesca
dc.contributor.author Mitsios, Iason
dc.contributor.author Anagnostakis, Marios
dc.date.accessioned 2023-09-26T12:35:08Z
dc.date.available 2023-09-26T12:35:08Z
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/58099
dc.identifier.uri http://dx.doi.org/10.26240/heal.ntua.25796
dc.rights Default License
dc.subject self-absorption correction factors en
dc.title Development of a computer code for the calculation of self-absorption correction factors in γ- spectrometry applications en
heal.type conferenceItem
heal.language en
heal.access campus
heal.recordProvider ntua el
heal.publicationDate 2022-10-17
heal.bibliographicCitation Alafogiannis, I., Tugnoli, F., Mitsios, I., & Anagnostakis, M. (2022). Development of a computer code for the calculation of self-absorption correction factors in γ-spectrometry applications. HNPS Advances in Nuclear Physics, 28, 98–103. https://doi.org/10.12681/hnps.3607 en
heal.abstract In γ-spectroscopy applications, one of the main effects that needs to be considered is the self absorption of the photons – especially of low energy – within the photon source, which may be significantly different between the calibration standard and the sample analyzed. This effect is highly dependent on material composition and density and sample thickness. A common way of dealing with the self-absorption issue is by using Efficiency Correction Factors (ECF), to take into consideration the different absorbing properties between the calibration standard and the sample. This work presents the on-going development of a MATLAB code for ECF calculation. The code calculates ECF for a variety of material matrices and compositions, focusing on Naturally Occurring Radioactive Materials (NORM), which may have high density and contain high Z elements. The results of the code were compared with other methods of ECF calculation, such as Monte-Carlo simulation. en
heal.fullTextAvailability false
heal.conferenceName HNPS 2021 en
heal.conferenceItemType full paper
dc.identifier.doi https://doi.org/10.12681/hnps.3607 el


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