Dynamics of powerful radio galaxies
Ross J. Turner, Stanislav S. Shabala
TL;DR
The paper surveys analytical models for the dynamics of powerful FR-II radio galaxy lobes, identifying two central driving mechanisms: forward jet momentum flux and internal lobe pressure, and it emphasizes transitions between jet- and lobe-dominated regimes. It extends early homogeneous-environment models to non-uniform ambient media with density profiles $\rho = k r^{-eta}$, and it analyzes how jet collimation and adiabatic lobe expansion shape source growth, axis ratio, and jet-head pressure. The authors compare four main model classes—Scheuer 1974, Falle 1991, Hardcastle 2018, and RAiSE variants—against 3D hydrodynamic simulations to determine regimes of agreement and where relativistic jet dynamics are essential, providing open-source implementations and guidance for SKA-era population modeling. The work highlights that realistic ambient-density profiles and multi-phase jet–ISM interactions are crucial for accurate predictions of source morphology and luminosity, and it outlines a path toward next-generation analytical models that incorporate these complexities and energy losses for cosmic radio-population studies.
Abstract
Analytical models describing the dynamics of lobed radio sources are essential for interpretation of the tens of millions of radio sources that will be observed by the Square Kilometre Array and pathfinder instruments. We propose that historical models can be grouped into two classes in which the forward expansion of the radio source is driven by either the jet momentum flux or lobe internal pressure. The most recent generation of analytical models combines these limiting cases for a more comprehensive description. We extend the mathematical formalism of historical models to describe source expansion in non-uniform environments, and directly compare different model classes with each other, and with hydrodynamic numerical simulations. We quantify differences in predicted observable characteristics for lobed radio sources due to the different model assumptions for their dynamics. We make our code for the historical models analysed in this review openly available to the community.
