Issue |
EPJ Web of Conf.
Volume 284, 2023
15th International Conference on Nuclear Data for Science and Technology (ND2022)
|
|
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Article Number | 18002 | |
Number of page(s) | 4 | |
Section | Dissemination and Formats | |
DOI | https://doi.org/10.1051/epjconf/202328418002 | |
Published online | 26 May 2023 |
https://doi.org/10.1051/epjconf/202328418002
A decay database of coincident γ−γ and γ−X-ray branching ratios for in-field spectroscopy applications
1 Department of Nuclear Engineering, University of California, Berkeley, California, 94720, USA
2 Pacific Northwest National Laboratory, Richland, Washington, 99352, USA
3 Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA
* e-mail: amhurst@berkeley.edu
Published online: 26 May 2023
Current fieldable spectroscopy techniques often use single detector systems heavily impacted by interferences from intense background radiation fields. These effects result in low-confidence measurements that can lead to misinterpretation of the collected spectrum. To help improve interpretation of the fission products and short-lived radionuclides produced in a composite sample, a coincidence-database is being developed in support of a robust portable and X-ray coincidence detector system concurrently under development at the Pacific Northwest National Laboratory for in-field deployment. Hitherto, no database exists containing coincident γ−γ and γ−X-ray branching-ratio intensities on an absolute scale that will greatly enhance isotopic identification for in-field applications. As part of this project, software has been developed to parse all radioactive-decay data sets from the Evaluated Nuclear Structure Data File (ENSDF) archive to enable translation into a more useful JavaScript Object Notation (JSON) formats that more readily supports query-based data manipulation. The coincident database described in this work is the first of its kind and contains coincidence γ−γ and γ−X-ray intensities and their corresponding uncertainties, together with auxiliary metadata associated with each decay data set. The new JSON format provides a convenient and portable means of data storage that can be imported into analysis frameworks with relatively low overhead allowing for meaningful comparison with measured data.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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