Issue |
EPJ Web of Conferences
Volume 62, 2013
Fission 2013 – Fifth International Workshop on Nuclear Fission and Fission Product Spectroscopy
|
|
---|---|---|
Article Number | 06003 | |
Number of page(s) | 6 | |
Section | Fission Yields | |
DOI | https://doi.org/10.1051/epjconf/20136206003 | |
Published online | 13 December 2013 |
https://doi.org/10.1051/epjconf/20136206003
Advanced model for the prediction of the neutron-rich fission product yields
1 Department of Physics, PO Box 35 (YFL), 40014 University of Jyväskylä, Finland
2 Faculty of Physics, St. Petersburg State University, St. Petersburg 198504, Russia
a e-mail: valery.v.rubchenya@jyu.fi
Published online: 13 December 2013
The consistent models for the description of the independent fission product formation cross sections in the spontaneous fission and in the neutron and proton induced fission at the energies up to 100 MeV is developed. This model is a combination of new version of the two-component exciton model and a time-dependent statistical model for fusion-fission process with inclusion of dynamical effects for accurate calculations of nucleon composition and excitation energy of the fissioning nucleus at the scission point. For each member of the compound nucleus ensemble at the scission point, the primary fission fragment characteristics: kinetic and excitation energies and their yields are calculated using the scission-point fission model with inclusion of the nuclear shell and pairing effects, and multimodal approach. The charge distribution of the primary fragment isobaric chains was considered as a result of the frozen quantal fluctuations of the isovector nuclear matter density at the scission point with the finite neck radius. Model parameters were obtained from the comparison of the predicted independent product fission yields with the experimental results and with the neutron-rich fission product data measured with a Penning trap at the Accelerator Laboratory of the University of Jyväskylä (JYFLTRAP).
© Owned by the authors, published by EDP Sciences, 2013
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, 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.