Simulations of Tidal Disruption Events
Abstract
Numerical simulations have historically played a major role in understanding the hydrodynamics of the tidal disruption process. Given the complexity of the geometry of the system, the challenges posed by the problem have indeed stimulated much work on the numerical side. Smoothed Particles Hydrodynamics methods, for example, have seen their very first applications in the context of tidal disruption and still play a major role to this day. Likewise, initial attempts at simulating the evolution of the disrupted star with the so-called affine method have been historically very useful. In this Chapter, we provide an overview of the numerical techniques used in the field and of their limitations, and summarize the work that has been done to simulate numerically the tidal disruption process.
Additional Information
© 2020 Springer Nature Switzerland AG. Received 23 May 2019; Accepted 17 May 2020; Published 02 June 2020. The authors thank the Yukawa Institute for Theoretical Physics at Kyoto University. Discussions during the YITP workshop YITP-T-19-07 on International Molecule-type Workshop "Tidal Disruption Events: General Relativistic Transients" were useful to complete this work. The work of RMC was funded by a Nicholas C. Metropolis Postdoctoral Fellowship and the Advanced Simulation Computing Physics and Engineering Program under the auspices of Los Alamos National Laboratory, operated by Triad National Security, LLC, for the National Nuclear Security Administration of U.S. Department of Energy (Contract No. 89233218CNA000001). The research of CB was funded by the Gordon and Betty Moore Foundation through Grant GBMF5076. JLD is supported by the GRF grant from the Hong Kong government under HKU 27305119.Attached Files
Accepted Version - 2005.08974.pdf
Files
| Name | Size | Download all |
|---|---|---|
|
md5:d9a1575f092943b3264664f8b5a6c99c
|
446.7 kB | Preview Download |
Additional details
- Eprint ID
- 103636
- Resolver ID
- CaltechAUTHORS:20200602-121110159
- Los Alamos National Laboratory
- 89233218CNA000001
- Department of Energy (DOE)
- GBMF5076
- Gordon and Betty Moore Foundation
- HKU 27305119
- University Grants Committee General Research Fund (GRF)
- Created
-
2020-06-02Created from EPrint's datestamp field
- Updated
-
2021-11-16Created from EPrint's last_modified field