Breaking degeneracy in jet dynamics: multi-epoch joint modelling of the BL Lac PKS 2155-304

TL;DR

This paper introduces an advanced semi-analytical jet model that incorporates jet dynamics and employs multi-epoch data fitting, significantly improving parameter constraints for the BL Lac PKS 2155-304.

Contribution

The study develops a dynamic semi-analytical jet model and applies multi-epoch spectral fitting to better constrain jet parameters, addressing degeneracies in AGN jet modeling.

Findings

Multi-epoch fitting yields more meaningful parameter constraints.

The model effectively links jet emission to internal dynamics.

Degeneracies are reduced through comprehensive parameter space exploration.

Abstract

Supermassive black holes can launch powerful jets which can be some of the most luminous multi-wavelength 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 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 quasisimultaneous, multi-wavelength spectral energy distributions of the BL Lac PKS 2155-304 obtained by the TANAMI 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.