Thiesse, M. orcid.org/0000-0002-0775-250X, Scovell, P. and Thompson, L. orcid.org/0000-0001-6911-4776 (2022) Background shielding by dense samples in low-level gamma spectrometry. Applied Radiation and Isotopes, 188. 110384. ISSN: 0969-8043
Abstract
In low activity gamma spectrometric measurements of large, dense samples, the bulk sample material shields the HPGe crystal from external background sources. If not accounted for in studies that utilise background-subtraction methods, this effect may result in systematic errors in the sample activity and detection limit estimation. We introduce a Monte Carlo based method to minimise the impact of this effect on sample gamma spectra. It is validated using simulated detector backgrounds and applied to a measurement of low-activity Gd<inf>2</inf>SO<inf>4</inf><inf>3</inf>⋅8H<inf>2</inf>O. One main prerequisite for the correct application of this method is to know in advance the nuclides which contribute to the detector background spectrum and their spatial distribution. With a thorough understanding of the detector backgrounds, the method improves the accuracy of sensitive low-background measurements of low-activity samples. Even without knowing the background sources and their distribution, conservative results may still be presented that account for the potential systematic errors introduced by this background shielding effect.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Gamma spectrometry; Low-background; Low-level activity; Methods; Gamma Rays; Monte Carlo Method; Spectrometry, Gamma |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematical and Physical Sciences The University of Sheffield > Faculty of Science (Sheffield) > Department of Physics and Astronomy (Sheffield) |
Funding Information: | Funder Grant number SCIENCE AND TECHNOLOGY FACILITIES COUNCIL ST/R000069/1 SCIENCE AND TECHNOLOGY FACILITIES COUNCIL ST/V006185/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 22 Aug 2025 15:10 |
Last Modified: | 22 Aug 2025 15:10 |
Published Version: | https://doi.org/10.1016/j.apradiso.2022.110384 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.apradiso.2022.110384 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:230737 |