Hostname: page-component-76fb5796d-qxdb6 Total loading time: 0 Render date: 2024-04-29T04:32:10.121Z Has data issue: false hasContentIssue false
  • English
  • Français

Numerical modelling of X-shaped radio galaxies using back-flow model

Published online by Cambridge University Press:  20 January 2023

Gourab Giri Open the ORCID record for Gourab Giri [Opens in a new window]  and
Bhargav Vaidya
Gourab Giri
Affiliation:
Department of Astronomy, Astrophysics and Space Engineering, Indian Institute of Technology Indore, Simrol 453552, Madhya Pradesh, India emails: gourab@iiti.ac.in, bvaidya@iiti.ac.in
Bhargav Vaidya
Affiliation:
Department of Astronomy, Astrophysics and Space Engineering, Indian Institute of Technology Indore, Simrol 453552, Madhya Pradesh, India emails: gourab@iiti.ac.in, bvaidya@iiti.ac.in
Get access Rights & Permissions [Opens in a new window]

Abstract

The focus of this work is to comprehensively understand hydro-dynamical back-flows and their role in dynamics and non-thermal spectral signatures particularly during the initial phase of X-shaped radio galaxies. In this regard, we have performed axisymmetric (2D) and three dimensional (3D) simulations of relativistic magneto-hydrodynamic jet propagation from tri-axial galaxies. High-resolution dynamical modelling of axisymmetric jets has demonstrated the effect of magnetic field strengths on lobe and wing formation. Distinct X-shape formation due to back-flow and pressure gradient of ambient is also observed in our 3D dynamical run. Furthermore, the effect of radiative losses and diffusive shock acceleration on the particle spectral evolution is demonstrated, which particularly highlights how crucial their contributions are in the emission signature of these galaxies. This imparts a significant effect on the galaxy’s equipartition condition, indicating that one must be careful in extending its use in estimating other parameters, as the criterion evolves with time.

Keywords

Galaxies: jetsAcceleration of particlesMagnetohydrodynamics (MHD)Methods: numerical
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. 70 - 75
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of International Astronomical Union

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Capetti, A., Zamfir, S., Rossi, P., et al. 2002, A&A, 394, 39 Google Scholar
Cavaliere, A. & Fusco-Femiano, R. 1976, A&A, 500, 95 Google Scholar
Croston, J. H., Hardcastle, M. J., Harris, D. E., et al. 2005, ApJ, 626, 733 CrossRefGoogle Scholar
Giri, G., Vaidya, B., Rossi, P., et al. 2022, A&A, DOI:10.1051/0004-6361/202142546 Google Scholar
Gopal-Krishna Biermann, P. L., Gergely, L. Á., Wiita, P. J., 2012, Research in Astronomy and Astrophysics, 12, 127Google Scholar
Hardcastle, M. J., Birkinshaw, M., Cameron, R. A., et al. 2002, ApJ, 581, 948 Google Scholar
Hodges-Kluck, E. J., Reynolds, C. S., 2011, ApJ, 733, 58 Google Scholar
Kraft, R. P., Hardcastle, M. J., Worrall, D. M., Murray, S. S., 2005, ApJ, 622, 149 Google Scholar
Leahy, J. P. & Williams, A. G. 1984, MNRAS, 210, 929 CrossRefGoogle Scholar
Mahatma, V. H., Hardcastle, M. J., Croston, J. H., et al. 2020, MNRAS, 491, 5015 Google Scholar
Mignone, A., Bodo, G., Massaglia, S., et al. 2007, ApJS, 170, 228 Google Scholar
Mukherjee, D., et al. 2021, MNRAS [https://doi.org/10.1093/mnras/stab1327]Google Scholar
Rossi, P., Bodo, G., Capetti, A., & Massaglia, S. 2017, A&A, 606, A57 Google Scholar
Vaidya, B., Mignone, A., Bodo, G., Rossi, P., & Massaglia, S. 2018, ApJ, 865, 144 Google Scholar