Issue |
EPJ Web Conf.
Volume 146, 2017
ND 2016: International Conference on Nuclear Data for Science and Technology
|
|
---|---|---|
Article Number | 03010 | |
Number of page(s) | 3 | |
Section | Experimental Facilities, Equipment, Techniques and Methods | |
DOI | https://doi.org/10.1051/epjconf/201714603010 | |
Published online | 13 September 2017 |
https://doi.org/10.1051/epjconf/201714603010
Extended methods using thick-targets for nuclear reaction data of radioactive isotopes
1 Faculty of Science, Hokkaido University, Sapporo 060-0810, Japan
2 Institute for the Advancement of Higher Education, Hokkaido University, Sapporo 060-0817, Japan
a e-mail: ebata@nucl.sci.hokudai.ac.jp
Published online: 13 September 2017
The nuclear transmutation is a technology to dispose of radioactive wastes. However, we do not have enough basic data for its developments, such as thick-target yields (TTY) and the interaction cross sections for radioactive material. We suggest two methods to estimate the TTY using inverse kinematics and to obtain the excitation function of the interaction cross sections which is named the thick-target transmission (T3) method. We deduce the energy-dependent conversion relation between the TTYs of the original system and its inverse kinematics, which can be replaced to a constant coefficient in the high energy region. Furthermore we show the usefulness of the T3 method to investigate the excitation function of the 12C + 27Al reaction in the simulation.
© The Authors, published by EDP Sciences, 2017
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.