Investigating the spectral age problem with powerful radio galaxies
Vijay H. Mahatma, Martin J. Hardcastle, Judith H. Croston, Jeremy, Harwood, Judith Ineson, Javier Moldon

TL;DR
This study investigates the longstanding spectral age problem in powerful radio galaxies by combining high-resolution radio and X-ray observations with analytic models, revealing that spectral ages are significantly underestimated due to magnetic field assumptions and turbulent mixing.
Contribution
The paper provides a comprehensive observational and modeling approach to quantify the spectral age discrepancy, highlighting the impact of magnetic field assumptions and turbulence in radio galaxy lobes.
Findings
Spectral ages are underestimated by at least a factor of two.
Equipartition magnetic fields can underestimate spectral ages by up to ~20.
Turbulent mixing likely causes the remaining age discrepancy.
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…
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