JOURNAL ARTICLE
Improving radiation localization via energy-resolved angular photon responses.
Published In: International Journal of Modern Physics E: Nuclear Physics, 2025, v. 34, n. 9. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Joyce, Malcolm J.; Tsitsimpelis, Ioannis; Alton, Tilly L.; James Taylor, C.; West, Andrew; Lennox, Barry; Livens, Francis 3 of 3
Abstract
Results obtained from characterizing the capabilities of a collimated cerium bromide (CeBr3) detector developed for use on robotic platforms are reported. The detector's field-of-view is collimated by a lead slit, and experiments have been performed with point radiation sources configured in a-priori known geometric scenarios. The collimated detector is scanned over radiation sources using gimbal control, acquiring a spectrum at each angle to obtain energy-resolved angular responses. These responses are then approximated by mathematical transforms to enhance localization accuracy. Various combinations of radionuclides have been used to demonstrate the effectiveness of this approach. The results reveal that expressing X-ray and γ -ray angular responses with an appropriate transform improves the resolving power of the slit collimator. This technique offers distinct advantages in robot deployments by enabling additional in-situ characterization capabilities without imposing additional limitations or requirements. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Modern Physics E: Nuclear Physics. 2025/09, Vol. 34, Issue 9, p1
- Document Type:Article
- Subject Area:Physics
- Publication Date:2025
- ISSN:0218-3013
- DOI:10.1142/S021830132545003X
- Accession Number:186805259
- Copyright Statement:Copyright of International Journal of Modern Physics E: Nuclear Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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