This project aims to assess the reliability of the Jeans Axisymmetric Modelling (JAM) in recovering the intrinsic properties of barred galaxies by applying it to simulations with known mass distributions. As JAM assumes axisymmetry, its performance in the presence of a bar, a non-axisymmetric structure, requires systematic evaluation. Building on earlier studies (e.g., Lablanche et al. 2012, Buttitta et al. 2023), we extend the analysis across a broader range of bar orientations, strengths, and inclinations. By comparing JAM-derived quantities like dark matter content and velocity anisotropy with simulation values, we examine the model limitations and investigate whether bar pattern speed can serve as a diagnostic of dark matter content.
Investigating the dark matter content of barred galaxies with dynamical modelling of numerical simulations
MICELI, MICOLE
2024/2025
Abstract
This project aims to assess the reliability of the Jeans Axisymmetric Modelling (JAM) in recovering the intrinsic properties of barred galaxies by applying it to simulations with known mass distributions. As JAM assumes axisymmetry, its performance in the presence of a bar, a non-axisymmetric structure, requires systematic evaluation. Building on earlier studies (e.g., Lablanche et al. 2012, Buttitta et al. 2023), we extend the analysis across a broader range of bar orientations, strengths, and inclinations. By comparing JAM-derived quantities like dark matter content and velocity anisotropy with simulation values, we examine the model limitations and investigate whether bar pattern speed can serve as a diagnostic of dark matter content.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/92355