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 |
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dc.rights |
Default License |
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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 |