Issue |
EPJ Web Conf.
Volume 260, 2022
The 16th International Symposium on Nuclei in the Cosmos (NIC-XVI)
|
|
---|---|---|
Article Number | 11011 | |
Number of page(s) | 4 | |
Section | Poster | |
DOI | https://doi.org/10.1051/epjconf/202226011011 | |
Published online | 24 February 2022 |
https://doi.org/10.1051/epjconf/202226011011
Observational properties of peculiar core-collapse super-novae producing r-process elements
1 Astronomical Institute, Tohoku University, Aoba, Sendai 980-8578, Japan
2 Astrophysical Big Bang Laboratory, CPR, RIKEN, Wako, Saitama 351-0198, Japan
3 RIKEN Nishina Center for Accelerator-Based Science, Wako, Saitama 351-0198, Japan
4 Institute for Cosmic Ray Research, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8582, Japan
* e-mail: tatsuki.hasegawa@astr.tohoku.ac.jp
** e-mail: masaomi.tanaka@astr.tohoku.ac.jp
Published online: 24 February 2022
We investigate the effects of r-process elements on the electromagnetic wave emission from peculiar core-collapse supernovae. We perform a series of radiative transfer simulations based on one-dimensional hydrodynamical explosion models. Varying the mass of 56Ni and r-process nuclei, we examine the effects of r-process elements on the light curves. The 56Ni-powered explosion models with a large amount of r-process-rich material show redder color because the high opacity of r-process elements suppresses the emission at shorter wavelengths. Comparing the results with the color of observed super-novae, we find that the upper limit for the production of r-process elements is 0.1M ⊙ for 56Ni-powered supernovae.
© 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.
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.