https://doi.org/10.1051/epjconf/202429204005
A multichannel algebraic scattering approach to astrophysical reactions
1 School of Science, The University of New South Wales, Canberra, ACT 2600, Australia
2 School of Physics, University of Melbourne, Victoria 3010, Australia
3 Department of Physics, University of Johannesburg, P.O. Box 524 Auckland Park, 2006, South Africa
4 Department of Physics and Astronomy, Texas A&M University-Commerce, Commerce, TX 75429, USA
5 Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padova I-35131, Italia
6 Melbourne School of Population and Global Health, University of Melbourne, Victoria 3010, Australia
* e-mail: paul.fraser@unsw.edu.au
** e-mail: amos@unimelb.edu.au
*** e-mail: Carlos.Bertulani@tamuc.edu
*** e-mail: luciano.canton@pd.infn.it
† e-mail: s.karataglidis@unimelb.edu.au
‡ e-mail: rgmoss@unimelb.edu.au
§ e-mail: kmurulane@uj.ac.za
Published online: 14 March 2024
The investigation of many astrophysical processes is dependent upon an understanding of nuclear reaction rates. However, nuclear capture reactions of astrophysical interest occur at extremely low energies, taking place at the Gamow energy within the stellar environment. Hence, they are hard to study experimentally due to Coulomb repulsion. They may also involve compound resonances stemming from a delicate interplay of many quantum states in the colliding bodies. The multi-channel algebraic scattering (MCAS) method is one that addresses both of these challenges; it has a history of successfully modelling narrow compound resonance structures, incorporating as many channels as are important for a given problem, but is also proven in recreating the lowenergy, non-resonant elastic scattering cross sections needed for these astrophysics problems. We provide an overview of MCAS’ techniques of modelling elastic scattering reactions, how these may be extended to capture reactions, and current work in this area.
© The Authors, published by EDP Sciences, 2024
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.
