Issue |
EPJ Web of Conferences
Volume 111, 2016
WONDER-2015 – 4th International Workshop On Nuclear Data Evaluation for Reactor applications
|
|
---|---|---|
Article Number | 08005 | |
Number of page(s) | 6 | |
Section | Decay data and Fission Yields | |
DOI | https://doi.org/10.1051/epjconf/201611108005 | |
Published online | 15 March 2016 |
https://doi.org/10.1051/epjconf/201611108005
Microscopic predictions of fission yields based on the time dependent GCM formalism
1 CEA, DAM, DIF, 91297 Arpajon, France
2 Nuclear and Chemical Science Division, LLNL, Livermore, CA 94551, USA
a e-mail: david.regnier@cea.fr
b e-mail: noel.dubray@cea.fr
Published online: 15 March 2016
Accurate knowledge of fission fragment yields is an essential ingredient of numerous applications ranging from the formation of elements in the r-process to fuel cycle optimization in nuclear energy. The need for a predictive theory applicable where no data is available, together with the variety of potential applications, is an incentive to develop a fully microscopic approach to fission dynamics. One of the most promising theoretical frameworks is the time-dependent generator coordinate method (TDGCM) applied under the Gaussian overlap approximation (GOA). Previous studies reported promising results by numerically solving the TDGCM+GOA equation with a finite difference technique. However, the computational cost of this method makes it difficult to properly control numerical errors. In addition, it prevents one from performing calculations with more than two collective variables. To overcome these limitations, we developed the new code FELIX-1.0 that solves the TDGCM+GOA equation based on the Galerkin finite element method. In this article, we briefly illustrate the capabilities of the solver FELIX-1.0, in particular its validation for n+239Pu low energy induced fission. This work is the result of a collaboration between CEA,DAM,DIF and LLNL on nuclear fission theory.
© 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.
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.