Issue |
EPJ Web of Conf.
Volume 284, 2023
15th International Conference on Nuclear Data for Science and Technology (ND2022)
|
|
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Article Number | 03019 | |
Number of page(s) | 4 | |
Section | Nuclear Reaction and Nuclear Structure Theory, Models and Codes | |
DOI | https://doi.org/10.1051/epjconf/202328403019 | |
Published online | 26 May 2023 |
https://doi.org/10.1051/epjconf/202328403019
A new R-matrix module for multi-channel calculations with GECCCOS
TU-Wien Atominstitut, Stadionallee 2, 1020 Wien, Austria
* e-mail: thomas.srdinko@tuwien.ac.at
** e-mail: helmut.leeb@tuwien.ac.at
Published online: 26 May 2023
A versatile new R-matrix module for multi-channel reaction calculations was introduced into the code GECCCOS (GEneral Coupled-Channel COde System) which has been developed by the nuclear data group at TU-Wien to perform nuclear reaction calculations especially for light nuclear systems. It provides a tool for phenomenological R-matrix analyses of reaction data combined with calculations of a potential-based calculable R-matrix using the Lagrange-mesh technique. In addition it provides a platform for the development of non-standard extensions of R-matrix theory such as Reduced R-matrix analyses and the Hybrid R-matrix. A successful run of the code yields the complete S-matrix (collision matrix) as well as observables for unpolarized beams, angle-differential cross sections, excitation functions and, if existing, angle-integrated cross sections. Recently, extensions to polarization observables for spin-1/2 and spin-1 particles were implemented and tested. For phenomenological R-matrix analyses a separate module assembles calculated and available experimental values, automatically performs transformations with regard to reference frame and matching radii. Furthermore it allows to switch between incident channel and compound nucleus representation and provides the necessary feedback for the chi2 fitting process.
© The Authors, published by EDP Sciences, 2023
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.
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