Bar Properties and Star-by-Star Bar Membership via Action Conservation

Fuente: arXiv
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Auteurs principaux: Iles, Elizabeth J., Pal, Finn A., Bland-Hawthorn, Joss, Freeman, Ken
Format: Preprint
Publié: 2026
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author Iles, Elizabeth J.
Pal, Finn A.
Bland-Hawthorn, Joss
Freeman, Ken
author_facet Iles, Elizabeth J.
Pal, Finn A.
Bland-Hawthorn, Joss
Freeman, Ken
contents A bar-like central feature is commonly observed in both nearby and distant spiral-type galaxies, including the Milky Way. While many methods exist to categorise this morphology, no one method has emerged as the field-wide standard. To develop a rigorous and consistent method for identifying these bars, we investigate a classification scheme based on dynamical actions. In the Gaia era, actions can be estimated for individual stars in both observations and simulations, making this a natural and unifying diagnostic, assuming the intrinsic errors and selection functions are understood. Our approach is straightforward: stars that participate in the bar are subject to a strongly non-axisymmetric potential and, therefore, do not completely conserve their actions. We use this property to define a star-by-star criterion, formulated as an inequality and evaluated within measurement uncertainties, to identify bar members based on the degree to which their total action fails to be conserved. From tests on simulated galaxies, we find that the bar region is indeed characterised by a lower fraction of stars with conserved actions and that stars on bar orbits are represented by larger percentage changes in their actions. We are able to classify the spatial extent of barred region via the standard parameters of bar length and orientation, while also individually separating bar-located from bar-member stars on bar orbits. As proof of concept, our automated method based on dynamical actions robustly identifies bar parameters that closely match the eye's performance (average bar length variation ~9%) in barred snapshots of the test galaxy.
format Preprint
id arxiv_https___arxiv_org_abs_2603_24952
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Bar Properties and Star-by-Star Bar Membership via Action Conservation
Iles, Elizabeth J.
Pal, Finn A.
Bland-Hawthorn, Joss
Freeman, Ken
Astrophysics of Galaxies
A bar-like central feature is commonly observed in both nearby and distant spiral-type galaxies, including the Milky Way. While many methods exist to categorise this morphology, no one method has emerged as the field-wide standard. To develop a rigorous and consistent method for identifying these bars, we investigate a classification scheme based on dynamical actions. In the Gaia era, actions can be estimated for individual stars in both observations and simulations, making this a natural and unifying diagnostic, assuming the intrinsic errors and selection functions are understood. Our approach is straightforward: stars that participate in the bar are subject to a strongly non-axisymmetric potential and, therefore, do not completely conserve their actions. We use this property to define a star-by-star criterion, formulated as an inequality and evaluated within measurement uncertainties, to identify bar members based on the degree to which their total action fails to be conserved. From tests on simulated galaxies, we find that the bar region is indeed characterised by a lower fraction of stars with conserved actions and that stars on bar orbits are represented by larger percentage changes in their actions. We are able to classify the spatial extent of barred region via the standard parameters of bar length and orientation, while also individually separating bar-located from bar-member stars on bar orbits. As proof of concept, our automated method based on dynamical actions robustly identifies bar parameters that closely match the eye's performance (average bar length variation ~9%) in barred snapshots of the test galaxy.
title Bar Properties and Star-by-Star Bar Membership via Action Conservation
topic Astrophysics of Galaxies
url https://arxiv.org/abs/2603.24952