EPJ Web of Conferences
Volume 91, 2015Heavy Ion Accelerator Symposium 2014
|Number of page(s)||5|
|Published online||06 April 2015|
Dynamical approach to heavy ion-induced fission
Department of Nuclear Physics, Research School of Physics and Engineering, The Australian National University, Canberra, ACT 2601, Australia
a D. Y. Jeung: email@example.com
b Current address: Malmö University, Faculty of Technology and Society, 205 06 Malmö, Sweden
c Current address: Institute of Functional Genomics, University of Regensburg, 93053, Germany
d Current address: China Institute of Atomic Energy, Beijing 102413, China
e Current address: National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, Michigan 48824, USA
Published online: 6 April 2015
Deep inelastic collisions (DICs) can compete strongly with fusion in collisions of heavy nuclei. However, standard coupled-channels calculations do not take DIC processes into account. As a result, calculations have been shown to overestimate the fusion cross-sections, resulting in a discrepancy between experimental data and theoretical calculations, particularly at energies above the fusion barrier. To investigate this discrepancy, we conducted a series of experiments using the ANU 14UD tandem accelerator and the CUBE 2-body fission spectrometer to examine the competition between transfer/DIC and fusion. In particular, fusion-fission and 3-body fission yields have been extracted for 34S + 232Th and 40Ca + 232Th systems. This work shows that the transfer-fission probability is enhanced relative to fusion-fission for 40Ca + 232Th, when compared to 34S+ 232Th. It is suggested that the enhancement of this DIC process in 40Ca + 232Th is linked to an increase in the density overlap of the colliding nuclei as a function of the charge product and contributes to fusion hindrance.
© Owned by the authors, published by EDP Sciences, 2015
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.