Issue |
EPJ Web of Conferences
Volume 111, 2016
WONDER-2015 – 4th International Workshop On Nuclear Data Evaluation for Reactor applications
|
|
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Article Number | 01002 | |
Number of page(s) | 8 | |
Section | Nuclear Data Needs for Reactor Applications | |
DOI | https://doi.org/10.1051/epjconf/201611101002 | |
Published online | 15 March 2016 |
https://doi.org/10.1051/epjconf/201611101002
Review of nuclear data improvement needs for nuclear radiation measurement techniques used at the CEA experimental reactor facilities
CEA, DEN, DER, Service of Experimental Physic - CEA Cadarache, F-13108 Saint-Paul-Lez-Durance, France
a Corresponding author: christophe.destouches@cea.fr
Published online: 15 March 2016
The constant improvement of the neutron and gamma calculation codes used in experimental nuclear reactors goes hand in hand with that of the associated nuclear data libraries. The validation of these calculation schemes always requires the confrontation with integral experiments performed in experimental reactors to be completed. Nuclear data of interest, straight as cross sections, or elaborated ones such as reactivity, are always derived from a reaction rate measurement which is the only measurable parameter in a nuclear sensor. So, in order to derive physical parameters from the electric signal of the sensor, one needs specific nuclear data libraries. This paper presents successively the main features of the measurement techniques used in the CEA experimental reactor facilities for the on-line and offline neutron/gamma flux characterizations: reactor dosimetry, neutron flux measurements with miniature fission chambers and Self Power Neutron Detector (SPND) and gamma flux measurements with chamber ionization and TLD. For each technique, the nuclear data necessary for their interpretation will be presented, the main identified needs for improvement identified and an analysis of their impact on the quality of the measurement. Finally, a synthesis of the study will be done.
© Owned by the authors, published by EDP Sciences, 2016
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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