Rediscovering the Milky Way with an orbit superposition approach and APOGEE data Article Swipe
Sergey Khoperskov
,
Matthias Steinmetz
,
Misha Haywood
,
Glenn van de Ven
,
Davor Krajnović
,
Bridget Ratcliffe
,
Ivan Minchev
,
P. Di Matteo
,
N. Kacharov
,
Léa Marques
,
M. Valentini
,
Roelof S. de Jong
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1051/0004-6361/202453305
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1051/0004-6361/202453305
The stellar disc is the dominant luminous component of the Milky Way (MW). Although our understanding of its structure is rapidly expanding due to advances in large-scale surveys of stellar populations across the Galaxy, our picture of the disc remains substantially obscured by selection functions and an incomplete spatial coverage of observational data. In this work, we present the comprehensive chrono-chemo-kinematic structure of the MW disc, recovered using a novel orbit superposition approach combined with data from APOGEE DR 17. We detected periodic azimuthal metallicity variations within 6–8 kpc with an amplitude of 0.05–0.1 dex peaking along the bar major axis. The radial metallicity profile of the MW also varies with azimuth, displaying a pattern typical among other disc galaxies, namely: a decline outside the solar radius and an almost flat profile in the inner region, attributed to the presence of old, metal-poor high- α populations, comprising ≈40% of the total stellar mass. The geometrically defined thick disc and the high- α populations have comparable masses, but with differences in their stellar population content, which we quantified using the reconstructed 3D MW structure. The well-known [ α /Fe]-bimodality in the MW disc, once it has been weighted by the stellar mass, is less pronounced at a given metallicity for the whole galaxy but distinctly visible in a narrow range of galactic radii (5–9 kpc), explaining its relative lack of prominence in external galaxies and galaxy formation simulations. Analysing a more evident double age–abundance sequence, we constructed a scenario for the MW disc formation, advocating for an inner and outer disc dichotomy genetically linked to the MW’s evolutionary stages. In this picture, the extended solar vicinity is a transition zone that shares the chemical properties of both the inner (old age-metallicity sequence) and outer discs (young age-metallicity sequence).
Related Topics
Concepts
Physics
Astrophysics
Milky Way
Metallicity
Galaxy
Astronomy
Stellar population
Bimodality
Galaxy formation and evolution
Stellar mass
Population
RADIUS
Star formation
Demography
Sociology
Computer science
Computer security
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1051/0004-6361/202453305
- OA Status
- hybrid
- Cited By
- 6
- References
- 425
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413253495
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4413253495Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1051/0004-6361/202453305Digital Object Identifier
- Title
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Rediscovering the Milky Way with an orbit superposition approach and APOGEE dataWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-08-01Full publication date if available
- Authors
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Sergey Khoperskov, Matthias Steinmetz, Misha Haywood, Glenn van de Ven, Davor Krajnović, Bridget Ratcliffe, Ivan Minchev, P. Di Matteo, N. Kacharov, Léa Marques, M. Valentini, Roelof S. de JongList of authors in order
- Landing page
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https://doi.org/10.1051/0004-6361/202453305Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://doi.org/10.1051/0004-6361/202453305Direct OA link when available
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Physics, Astrophysics, Milky Way, Metallicity, Galaxy, Astronomy, Stellar population, Bimodality, Galaxy formation and evolution, Stellar mass, Population, RADIUS, Star formation, Demography, Sociology, Computer science, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6Per-year citation counts (last 5 years)
- References (count)
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425Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.comparable | 164 |
| abstract_inverted_index.comprising | 146 |
| abstract_inverted_index.displaying | 112 |
| abstract_inverted_index.distinctly | 213 |
| abstract_inverted_index.explaining | 224 |
| abstract_inverted_index.formation, | 252 |
| abstract_inverted_index.incomplete | 47 |
| abstract_inverted_index.metal-poor | 142 |
| abstract_inverted_index.population | 172 |
| abstract_inverted_index.prominence | 229 |
| abstract_inverted_index.pronounced | 203 |
| abstract_inverted_index.properties | 283 |
| abstract_inverted_index.quantified | 176 |
| abstract_inverted_index.sequence). | 296 |
| abstract_inverted_index.structure. | 182 |
| abstract_inverted_index.transition | 277 |
| abstract_inverted_index.variations | 85 |
| abstract_inverted_index.well-known | 184 |
| abstract_inverted_index.constructed | 245 |
| abstract_inverted_index.differences | 168 |
| abstract_inverted_index.genetically | 261 |
| abstract_inverted_index.large-scale | 26 |
| abstract_inverted_index.metallicity | 84, 103, 207 |
| abstract_inverted_index.populations | 30, 162 |
| abstract_inverted_index.evolutionary | 266 |
| abstract_inverted_index.populations, | 145 |
| abstract_inverted_index.simulations. | 236 |
| abstract_inverted_index.comprehensive | 59 |
| abstract_inverted_index.geometrically | 154 |
| abstract_inverted_index.observational | 51 |
| abstract_inverted_index.reconstructed | 179 |
| abstract_inverted_index.substantially | 40 |
| abstract_inverted_index.superposition | 71 |
| abstract_inverted_index.understanding | 15 |
| abstract_inverted_index./Fe]-bimodality | 187 |
| abstract_inverted_index.age-metallicity | 289, 295 |
| abstract_inverted_index.age–abundance | 242 |
| abstract_inverted_index.chrono-chemo-kinematic | 60 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 98 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 12 |
| citation_normalized_percentile.value | 0.98177736 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |