Issue |
EPJ Web of Conferences
Volume 8, 2010
EFNUDAT – Measurements and Models of Nuclear Reactions
|
|
---|---|---|
Article Number | 02006 | |
Number of page(s) | 6 | |
Section | Data Evaluation, Models | |
DOI | https://doi.org/10.1051/epjconf/20100802006 | |
Published online | 28 October 2010 |
https://doi.org/10.1051/epjconf/20100802006
Photon strength in spherical and deformed heavy nuclei
1 Institute of Radiation Physics, Forschungszentrum Dresden-Rossendorf, 01314 Dresden, Germany
2 Physics Department, Technische Universität, 01062 Dresden, Germany
3 Faculty of Mathematics and Physics, Charles University, 180 00 Prague 8, Czech Republic
Information on the photon strength in heavy nuclei with mass A > 150 will be given and compared to respective data. The photon strength function is a very important ingredient for statistical model calculations – especially when these are used to describe neutron capture. Several schemes for a transmutation of radioactive waste favor nuclear reactions with fast neutrons and these also influence the performance of various reactor types proposed to deliver nuclear energy together with only small quantities of such waste. Reactions with fast neutrons are less well studied as compared to those induced by thermal neutrons. As they are not easily accessible experimentally, reference is often made to calculations using the statistical model. Photon emission probabilities are needed as input to such calculations aiming for predictions on fission to capture ratios. Results of approximate calculations for radiative neutron capture will be presented.
© Owned by the authors, published by EDP Sciences, 2010
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.