Self-consistent modelling of the Milky Way structure using live potentials
Eva Dur\'an-Camacho, Ana Duarte-Cabral, Alex R. Pettitt, Robin G., Tre{\ss}, Paul C. Clark, Ralf S. Klessen, Kamran R. J. Bogue, Rowan J. Smith,, and Mattia C. Sormani

TL;DR
This paper develops and compares 15 dynamic Milky Way-like galaxy models using the AREPO code, successfully reproducing key observed structures and motions of our Galaxy to better understand its interstellar medium and star formation processes.
Contribution
It introduces a suite of self-consistent, dynamically evolving MW-type galaxy models that accurately mimic observed galactic features, improving upon previous static or analytic potential models.
Findings
Best-fitting model reproduces the Galactic bar with pattern speed 30 km/s/kpc
Model captures large streaming motions around spiral arms
Shows strong radial motions beyond the inner bar
Abstract
To advance our understanding of the evolution of the interstellar medium (ISM) of our Galaxy, numerical models of Milky Way (MW) type galaxies are widely used. However, most models only vaguely resemble the MW (e.g. in total mass), and often use imposed analytic potentials (which cannot evolve dynamically). This poses a problem in asserting their applicability for the interpretation of observations of our own Galaxy. The goal of this work is to identify a numerical model that is not only a MW-type galaxy, but one that can mimic some of the main observed structures of our Galaxy, using dynamically evolving potentials, so that it can be used as a base model to study the ISM cycle in a galaxy like our own. This paper introduces a suite of 15 MW-type galaxy models developed using the {\sc arepo} numerical code, that are compared to Galactic observations of CO and \ion{H}{I} emission…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Scientific Research and Discoveries · Astronomy and Astrophysical Research
