EPJ Nuclear Sci. Technol.
Volume 9, 2023
Templates of Expected Measurement Uncertainties: a CSEWG Effort
|Number of page(s)||25|
|Published online||09 November 2023|
Templates of expected measurement uncertainties for neutron-induced capture and charged-particle production cross section observables
Naval Nuclear Laboratory, Schenectady, NY, 12301-1072, USA
2 Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
3 National Institute of Standards and Technology, Gaithersburg, MD, 20899-8463, USA
4 Argonne National Laboratory, Argonne, IL, 60439-4842, USA (retired)
5 Lawrence Livermore National Laboratory, Livermore, CA, 94551-0808, USA
6 Helmholtz Centre Dresden Rossendorf, 01328 Dresden, Germany
7 The Australian National University, Canberra, ACT, 0200, Australia
8 University of California Berkeley, Berkeley, CA, 94720, USA
9 Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
10 Rensselaer Polytechnic Institute, Troy, NY, 12180, USA
11 Lancaster University, Lancaster, LA1 4YW, UK
12 University of Vienna, 1010 Vienna, Austria
13 International Atomic Energy Agency, 1400 Vienna, Austria
14 Uppsala University, 75120 Uppsala, Sweden
15 University of Tennessee, Knoxville, TN, 37996, USA
* e-mail: email@example.com
Received in final form: 23 July 2023
Accepted: 9 August 2023
Published online: 9 November 2023
This paper provides a template of expected uncertainties and correlations for measurements of neutron-induced capture and charged-particle production cross sections. Measurements performed in-beam include total absorption spectroscopy, total energy detection, γ-ray spectroscopy, and direct charged-particle detection. Offline measurements include activation analysis and accelerator mass spectrometry. The information needed for proper use of the datasets in resonance region and high energy region evaluations is described, and recommended uncertainties are provided when specific values are not available for a dataset.
© A.M. Lewis et al., Published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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