English

Investigating the spectral age problem with powerful radio galaxies

High Energy Astrophysical Phenomena 2020-01-08 v1 Astrophysics of Galaxies Instrumentation and Methods for Astrophysics

Abstract

The 'spectral age problem' is our systematic inability to reconcile the maximum cooling time of radiating electrons in the lobes of a radio galaxy with its age as modelled by the dynamical evolution of the lobes. While there are known uncertainties in the models that produce both age estimates, `spectral' ages are commonly underestimated relative to dynamical ages, consequently leading to unreliable estimates of the time-averaged kinetic feedback of a powerful radio galaxy. In this work we attempt to solve the spectral age problem by observing two cluster-centre powerful radio galaxies; 3C320 and 3C444. With high-resolution broad-band Karl G. Jansky Very Large Array observations of the radio sources and deep XMM-Newton and Chandra observations of their hot intra-cluster media, coupled with the use of an analytic model, we robustly determine their spectral and dynamical ages. After finding self-consistent dynamical models that agree with our observational constraints, and accounting for sub-equipartition magnetic fields, we find that our spectral ages are still underestimated by a factor of two at least. Equipartition magnetic fields will underestimate the spectral age by factors of up to ~20. The turbulent mixing of electron populations in the radio lobes is likely to be the main remaining factor in the spectral age/dynamical age discrepancy, and must be accounted for in the study of large samples of powerful radio galaxies.

Keywords

Cite

@article{arxiv.1912.01028,
  title  = {Investigating the spectral age problem with powerful radio galaxies},
  author = {Vijay H. Mahatma and Martin J. Hardcastle and Judith H. Croston and Jeremy Harwood and Judith Ineson and Javier Moldon},
  journal= {arXiv preprint arXiv:1912.01028},
  year   = {2020}
}

Comments

accepted for publication in MNRAS. 20 pages, 15 figures, 8 tables