Breaking degeneracy in jet dynamics multi-epoch joint modelling of the BL Lac PKS 2155-304
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| Publication date | 01-02-2019 |
| Journal | Monthly Notices of the Royal Astronomical Society |
| Volume | Issue number | 482 | 4 |
| Pages (from-to) | 4798-4812 |
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| Abstract |
Supermassive black holes can launch powerful jets which can be some of
the most luminous multiwavelength sources; decades after their discovery
their physics and energetics are still poorly understood. The past
decade has seen a dramatic improvement in the quality of available data,
but despite this improvement the semi-analytical modelling of jets has
advanced slowly: simple one-zone models are still the most commonly
employed method of interpreting data, in particular for active galactic
nucleus (AGN) jets. These models can roughly constrain the properties of
jets but they cannot unambiguously couple their emission to the
launching regions and internal dynamics, which can be probed with
simulations. However, simulations are not easily comparable to
observations because they cannot yet self-consistently predict spectra.
We present an advanced semi-analytical model which accounts for the
dynamics of the whole jet, starting from a simplified parametrization of
relativistic magnetohydrodynamics in which the magnetic flux is
converted into bulk kinetic energy. To benchmark the model, we fit six
quasi-simultaneous, multiwavelength spectral energy distributions of the
BL Lac PKS 2155-304 obtained by the TANAMI (Tracking Active Galactic
Nuclei with Austral Milliarc-second Interferometry) program, and we
address the degeneracies inherent to such a complex model by employing a
state-of-the-art exploration of parameter space, which so far has been
mostly neglected in the study of AGN jets. We find that this new
approach is much more effective than a single-epoch fit in providing
meaningful constraints on model parameters.
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| Document type | Article |
| Language | English |
| Published at | https://doi.org/10.1093/mnras/sty2929 |
| Other links | http://adsabs.harvard.edu/abs/2019MNRAS.482.4798L |
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