Issue |
EPJ Web Conf.
Volume 260, 2022
The 16th International Symposium on Nuclei in the Cosmos (NIC-XVI)
|
|
---|---|---|
Article Number | 11036 | |
Number of page(s) | 3 | |
Section | Poster | |
DOI | https://doi.org/10.1051/epjconf/202226011036 | |
Published online | 24 February 2022 |
https://doi.org/10.1051/epjconf/202226011036
A moderately-sized nuclear network to assist multi-D hydrodynamic simulations of supernova explosions
1 Departament de Física. Universitat Politècnica de Catalunya (Spain)
2 Scientific Computing Center (sciCORE). Universität Basel (Switzerland)
3 Institut d’Estudis Espacials de Catalunya
* e-mail: axel.sanz@estudiantat.upc.edu
** e-mail: ruben.cabezon@unibas.ch
*** e-mail: domingo.garcia@upc.edu
Published online: 24 February 2022
A key ingredient in any numerical study of supernova explosions is the nuclear network routine that is coupled with the hydrodynamic simulation code. When these studies are performed in more than one dimension, the size of the network is severely limited by computational issues. In this work, we propose a nuclear network (net87) which is close to one hundred nuclei and could be appropriate to simulate supernova explosions in multidimensional studies. One relevant feature is that electron and positron captures on free protons and neutrons have been incorporated to the network. Such addition allows for a better track of both, the neutronized species and the gas pressure. A second important feature is that the reactions are implicitly coupled with the temperature, which enhances the stability in the nuclear statistical equilibrium (NSE) regime. Here we analyze the performance of net87 in light of both: the computational overhead of the algorithm and the outcome in terms of the released nuclear energy and produced yields in typical Type Ia Supernova conditions.
© The Authors, published by EDP Sciences, 2022
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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