Raisehd

Latest version: v0.1.1

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0.1.1

Radio AGN in Semi-Analytic Environments (RAiSE) model for the expansion and evolution of the jets and lobes emanating from extraglactic supermassive black holes. The RAiSE HD (hydrodynamics) version of this model adapts Lagrangian particles from a hydrodynamical simulation to the dynamics from the analytical theory, yielding a physically-based magnetic field structure on both large and local scales. This code release enables the user to generate radio-frequency and X-ray wavelength surface brigtness images of Fanaroff-Riley Type-II radio AGNs across their evolutionary history, including for the jet, active lobe and remnant lobe. Parallised code can be run to generate a catalogue of mock radio AGNs to, for example: run parameter inversions to measure the energetics of observed objects; or produce high-resolution animations for data visualisations. The code is written in Python 2/3 and has detailed documentation and worked examples available on GitHub ([https://github.com/rossjturner/RAiSEHD](https://github.com/rossjturner/RAiSEHD)).

0.0.6

Radio AGN in Semi-Analytic Environments (RAiSE) model for the expansion and evolution of the jets and lobes emanating from extraglactic supermassive black holes. The RAiSE HD (hydrodynamics) version of this model adapts Lagrangian particles from a hydrodynamical simulation to the dynamics from the analytical theory, yielding a physically-based magnetic field structure on both large and local scales. This code release enables the user to generate radio-frequency and X-ray wavelength surface brigtness images of Fanaroff-Riley Type-II radio AGNs across their evolutionary history, including for the jet, active lobe and remnant lobe. Parallised code can be run to generate a catalogue of mock radio AGNs to, for example: run parameter inversions to measure the energetics of observed objects; or produce high-resolution animations for data visualisations. The code is written in Python 2/3 and has detailed documentation and worked examples available on GitHub (https://github.com/rossjturner/RAiSEHD).

0.0.1

Pre-release of RAiSE HD.

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