Issue |
EPJ Web Conf.
Volume 260, 2022
The 16th International Symposium on Nuclei in the Cosmos (NIC-XVI)
|
|
---|---|---|
Article Number | 11040 | |
Number of page(s) | 5 | |
Section | Poster | |
DOI | https://doi.org/10.1051/epjconf/202226011040 | |
Published online | 24 February 2022 |
https://doi.org/10.1051/epjconf/202226011040
Sensitivity Study of Type-I X-ray Bursts to Nuclear Reaction Rates
1 Department of Physics, Central Michigan University, Mount Pleasant, MI 48859, USA
2 National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, MI 48824, USA
3 JINA Center for the Evolution of the Elements, Michigan State University, East Lansing, MI 48824, USA
4 Department of Physics and Astronomy, Clemson University, Clemson, SC 29634-0978, USA
* e-mail: sulta1c@cmich.edu
Published online: 24 February 2022
Type-I X-ray bursts are frequently occurring thermonuclear runaways on the surface of an accreting neutron star. The different nuclear reactions that empower the cataclysmic event play a key role in accurately comparing theoretical models and observations. We investigate the effect of the uncertainties in the nuclear reactions using a ONEZONE model for a set of different compositions and accretion rates that are within the range of the standard observed burst sources. A combination of a full-reaction network and a semi-analytic model is used to obtain the conditions at the time of X-ray burst ignition via simulating the settling process of the accreted material. We then evaluate the sensitivity of the X-ray burst model by varying the proton and alpha-induced reaction rates in JINA REACLIBV2.2 within representative nuclear physics uncertainties.
© 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.