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A New Code for Relativistic Hydrodynamics and its Application to FR II Radio Jets

Published online by Cambridge University Press:  20 January 2023

Jeongbhin Seo Open the ORCID record for Jeongbhin Seo [Opens in a new window] ,
Hyesung Kang  and
Dongsu Ryu Open the ORCID record for Dongsu Ryu [Opens in a new window]
Jeongbhin Seo
Affiliation:
Department of Earth Sciences, Pusan National University, Busan 46241, Korea
Hyesung Kang
Affiliation:
Department of Earth Sciences, Pusan National University, Busan 46241, Korea
Dongsu Ryu
Affiliation:
Department of Physics, UNIST, Ulsan, 44919, Korea
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Abstract

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To study the dynamics of relativistic flows in astrophysical objects such as radio jets, we have developed a new special relativistic hydrodynamic (RHD) code based on the weighted essentially non-oscillatory (WENO) scheme, a high-order finite difference scheme. The code includes different WENO versions, and high-order time integration methods such as the 4th-order accurate Runge-Kutta (RK4) and strong stability preserving RK (SSPRK), as well as the equations of state (EOSs) that closely approximate the EOS of the single-component perfect gas in relativistic regime. Additionally, it is optimized for the reproduction of complex structures in multi-dimensional flows, and implements a modification of eigenvalues for the acoustic modes to effectively control carbuncle instability. As the first application of the code, we have simulated ultra-relativistic jets of FR II radio galaxies, and studied the nonlinear flow structures, such as shocks, velocity shear, and turbulence, through large-scale.

Keywords

hydrodynamicsgalaxies: jetsmethods: numericalrelativistic processes
Type
Contributed Paper
Information
Proceedings of the International Astronomical Union , Volume 16 , Symposium S362: The Predictive Power of Computational Astrophysics as a Discovery Tool , June 2020 , pp. 87 - 93
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of International Astronomical Union

References

Borges, R., Carmona, M., Costa, B., & Don, W. S. 2008, J. Comput. Phys., 227, 3191 Google Scholar
Buchmüller, P., Dreher, J., & Helzel, C. 2016, ApMaC, 272, 460 Google Scholar
Buchmüller, P., & Helzel, C. 2014, JSCom, 61, 343 Google Scholar
Dumbser, M., Moschetta, J.-M., & Gressier, J. 2004, JCoPh, 197, 647 Google Scholar
English, W., Hardcastle, M. J., & Krause, M. G. H. 2016, MNRAS, 461, 2025 Google Scholar
Fleischmann, N., Adami, S., Hu, X. Y., & Adams, N. A. 2020, JCoPh, 401, 109004 Google Scholar
Gottlieb, S. 2005, Journal of Scientific Computing, 25, 10 Google Scholar
Hardcastle, M. J. & Croston, J. H. 2020, New Astron. Revs, 88, 101539 Google Scholar
Jiang, G.-S., & Shu, C.-W. 1996, J. Comput. Phys., 126, 202 CrossRefGoogle Scholar
Jiang, G.-S., & Wu, C.-C. 1999, J. Comput. Phys., 150, 561 CrossRefGoogle Scholar
Landau, L. D., & Lifshitz, E. M. 1959, Fluid mechanicsGoogle Scholar
Li, Y., Wiita, P. J., Schuh, T., et al. 2018, ApJ, 869, 32 CrossRefGoogle Scholar
Liu, X.-D., Osher, S., & Chan, T. 1994, J. Comput. Phys., 115, 200 CrossRefGoogle Scholar
Liu, S., Shen, Y., Zeng, F., & Yu, M. 2018, International Journal for Numerical Methods in Fluids, 87, 271 CrossRefGoogle Scholar
Mathews, W. G. 1971, ApJ, 165, 147 CrossRefGoogle Scholar
Matthews, J. H., Bell, A. R., Blundell, K. M., et al. 2019, MNRAS, 482, 4303 CrossRefGoogle Scholar
Mart, J. M. & Müller, E. 2003, Living Reviews in Relativity, 6, 7 CrossRefGoogle Scholar
Mart, J. M. & Müller, E. 2015, Living Reviews in Computational Astrophysics, 1, 3 CrossRefGoogle Scholar
Mignone, A., Plewa, T., & Bodo, G. 2005, ApJS, 160, 199 Google Scholar
Peery, K., & Imlay, S. 1988, in 24th Joint Propulsion Conf. (Reston, VA:AIAA Journal), 2904Google Scholar
Ryu, D., Chattopadhyay, I., & Choi, E. 2006, ApJS, 166, 410 CrossRefGoogle Scholar
Seo, J, Kang, H., & Ryu, D. 2021b, ApJ, 920, 144 CrossRefGoogle Scholar
Seo, J, Kang, H., Ryu, D., Ha, S., & Chattopadhyay, I. 2021a, ApJ, 920, 143 CrossRefGoogle Scholar
Shu, C.-W., & Osher, S. 1988, J. Comput. Phys., 77, 439 CrossRefGoogle Scholar
Shu, C.-W., & Osher, S. 1989, J. Comput. Phys., 83, 32 Google Scholar
Spiteri, R. J., & Ruuth, S. J. 2002, SIAM Journal on Numerical Analysis, 40, 469 CrossRefGoogle Scholar
Spiteri, R. J., & Ruuth, S. J. 2003, Mathematics and Computers in Simulation, 62, 125 CrossRefGoogle Scholar
Synge, J. L. 1957, The Relativistic Gas, Series in Physics (Amsterdam: North-Holland)Google Scholar
Taub, A. H. 1948, Phys. Rev., 74, 328 CrossRefGoogle Scholar