Self-consistent modelling of the Milky Way structure using live potentials Article Swipe
Eva Durán-Camacho
,
A. Duarte-Cabral
,
Alex R. Pettitt
,
Robin G. Treß
,
Paul C. Clark
,
Ralf S. Klessen
,
Kamran R J Bogue
,
Rowan J. Smith
,
Mattia C. Sormani
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/mnras/stae1469
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/mnras/stae1469
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 an 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 arepo numerical code, that are compared to Galactic observations of $^{12}$CO and H i emission via longitude–velocity plots, from where we extract and compare the skeletons of major galactic features and the terminal gas velocities. We found that our best-fitting model to the overall structure, also reproduces some of the more specific observed features of the MW, including a bar with a pattern speed of $30.0 \pm 0.2$ km s$^{-1}$ kpc$^{-1}$, and a bar half-length of $3.2 \pm 0.8$ kpc. Our model shows large streaming motions around spiral arms, and strong radial motions well beyond the inner bar. This model highlights the complex motions of a dynamic MW-type galaxy and has the potential to offer valuable insight into how our Galaxy regulates the ISM and star formation.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/mnras/stae1469
- https://academic.oup.com/mnras/advance-article-pdf/doi/10.1093/mnras/stae1469/58257809/stae1469.pdf
- OA Status
- gold
- Cited By
- 2
- References
- 161
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399793441
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399793441Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/mnras/stae1469Digital Object Identifier
- Title
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Self-consistent modelling of the Milky Way structure using live potentialsWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-17Full publication date if available
- Authors
-
Eva Durán-Camacho, A. Duarte-Cabral, Alex R. Pettitt, Robin G. Treß, Paul C. Clark, Ralf S. Klessen, Kamran R J Bogue, Rowan J. Smith, Mattia C. SormaniList of authors in order
- Landing page
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https://doi.org/10.1093/mnras/stae1469Publisher landing page
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https://academic.oup.com/mnras/advance-article-pdf/doi/10.1093/mnras/stae1469/58257809/stae1469.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
-
https://academic.oup.com/mnras/advance-article-pdf/doi/10.1093/mnras/stae1469/58257809/stae1469.pdfDirect OA link when available
- Concepts
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Physics, Milky Way, Astronomy, Astrophysics, GalaxyTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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161Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.via | 151 |
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| abstract_inverted_index.arepo | 136 |
| abstract_inverted_index.arms, | 224 |
| abstract_inverted_index.code, | 138 |
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| abstract_inverted_index.Galaxy | 256 |
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| abstract_inverted_index.medium | 11 |
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| abstract_inverted_index.Galaxy, | 15, 97 |
| abstract_inverted_index.Galaxy. | 65 |
| abstract_inverted_index.MW-type | 82, 130, 243 |
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| countries_distinct_count | 4 |
| institutions_distinct_count | 9 |
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| citation_normalized_percentile.is_in_top_10_percent | True |