2018
DOI: 10.1093/mnras/stx3358
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A simulation-based analytic model of radio galaxies

Abstract: I derive and discuss a simple semi-analytical model of the evolution of powerful radio galaxies which is not based on assumptions of self-similar growth, but rather implements some insights about the dynamics and energetics of these systems derived from numerical simulations, and can be applied to arbitrary pressure/density profiles of the host environment. The model can qualitatively and quantitatively reproduce the source dynamics and synchrotron light curves derived from numerical modelling. Approximate cor… Show more

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Cited by 115 publications
(169 citation statements)
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References 68 publications
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“…The Turner et al (2018a) model assumes that the radiative losses are not taken into account selfconsistently in the evolution of the lobe pressure. Hardcastle (2018) confirms that synchrotron radiation comprises less than ten percent of the input power for typical radio galaxies (at z = 0), whilst inverse-Compton and bremsstrahlung radiation contribute even less to the energy loss during the source expansion. However, the cosmic microwave background radiation responsible for the inverse-Compton losses increases with redshift as (1 + z) 4 ; the inverse-Compton radiation can reach up to 40% of the input power in a 100 Myr source at z = 1, or all of the input power for a 10 Myr source at z = 4.…”
Section: Lobe Inverse-compton Emissivitymentioning
confidence: 52%
“…The Turner et al (2018a) model assumes that the radiative losses are not taken into account selfconsistently in the evolution of the lobe pressure. Hardcastle (2018) confirms that synchrotron radiation comprises less than ten percent of the input power for typical radio galaxies (at z = 0), whilst inverse-Compton and bremsstrahlung radiation contribute even less to the energy loss during the source expansion. However, the cosmic microwave background radiation responsible for the inverse-Compton losses increases with redshift as (1 + z) 4 ; the inverse-Compton radiation can reach up to 40% of the input power in a 100 Myr source at z = 1, or all of the input power for a 10 Myr source at z = 4.…”
Section: Lobe Inverse-compton Emissivitymentioning
confidence: 52%
“…As shown by Hardcastle et al (2019), the properties of low-z radio galaxies are consistent with having a more or less uniform distribution of active times up to 1 Gyr, and a more realistic calculation of remnant fraction would require us to simulate jets that switch off over a much wider distribution of lifetimes and of jet powers than is practical in these models. Qualitatively, however, since we find a faster initial drop in the synchrotron luminosity in our simulations than is seen in analytical models, we might expect the true remnant fraction at low z to be lower than the ∼ 50 per cent of Godfrey, Morganti & Brienza (2017) or the ∼ 30 per cent calculated by Hardcastle (2018), and we suggest that a consideration of these effects would bring the models closer to the observations. Figures 10 and 11 show the decline in surface brightness for our r75-60 model in a more visual form, with Figure 10 showing the synchrotron emission maps from a time-step shortly after the jet is switched off and Figure 11 showing the same model, with the same scaling, at the end of the simulation.…”
Section: Observational Propertiessupporting
confidence: 46%
“…These cooling processes have a significant effect on the calculated luminosities of our models (Figure 7); for a model at a redshift of z = 0.6 the luminosity has dropped by around an order of magnitude more when cooling is included, mostly due to the inverse-Compton losses. However, relative to the analytic models of Hardcastle (2018), the uncorrected synchrotron luminosity drops more rapidly once the jet is switched off. We attribute this to the effects of the returning cluster-centre gas on the dynamics, as discussed in Section 3.1, since the continued pressure-driven expansion of the remnant lobes is accounted for in the analytical models.…”
Section: Observational Propertiesmentioning
confidence: 73%
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“…We use the analytic model of (hereafter the analytic model; Hardcastle 2018), which models the evolution of a 'shocked shell' that is driven by a radio lobe in a particular environment for a particular set of radio source properties (see Hardcastle (2018) for further details of model setup, input and output parameters). The modelled dynamics of the shocked shell can be used to approximate the physical properties of the expanding lobes as a function of its dynamical age.…”
Section: Analytic Modellingmentioning
confidence: 99%