Beyond the two-infall model Article Swipe
E. Spitoni
,
A. Recio–Blanco
,
P. de Laverny
,
P. A. Palicio
,
G. Kordopatis
,
M. Schultheis
,
G. Contursi
,
E. Poggio
,
D. Romano
,
F. Matteuccí
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1051/0004-6361/202244349
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1051/0004-6361/202244349
Context. The recent Gaia Data Release 3 (DR3) represents an unparalleled revolution in Galactic archaeology, providing numerous radial velocities and chemical abundances for millions of stars as well as all-sky coverage. Aims We present a new chemical evolution model for the Galactic disc components (high- and low- α sequence stars) designed to reproduce the new abundance ratios provided by the General Stellar Parametriser-spectroscopy module for the Gaia DR3 and constrained by the detailed star formation (SF) histories for both the thick and thin disc stars inferred from previous Gaia releases. Methods. Sophisticated modelling based on previous Gaia releases have found evidence for narrow episodes of enhanced SF inferred in recent time. Additionally, Gaia DR3 indicated the presence of young (massive) low- α disc stars that show evidence of a recent chemical impoverishment in several elements. In order to reproduce these observables, we propose a new chemical evolution model in which the low- α sequence is generated by two distinct infall episodes. Hence, in this study we compare Gaia DR3 chemical abundances with the predictions of a three-infall chemical evolution model for the high- and low- α components. Results The proposed three-infall chemical evolution model nicely reproduces the main features of the abundance ratio [X/Fe] versus [M/H] (X=Mg, Si, Ca, Ti, α ) of Gaia DR3 stars in different age bins for the considered α elements. Moreover, the most recent gas infall – which started ∼2.7 Gyr ago – allowed us to predict accurately predict the Gaia DR3 young population which has experienced a recent chemical impoverishment. Conclusions. We extended previous chemical evolution models designed to reproduce APOGEE and APOKASC data in order to predict new Gaia DR3 chemical abundances. To this aim, we proposed a three-infall chemical evolution model to better trace both (i) the young population in Gaia DR3 with evidence of chemical impoverishment and (ii) the SF history from previous Gaia releases.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1051/0004-6361/202244349
- https://www.aanda.org/articles/aa/pdf/2023/02/aa44349-22.pdf
- OA Status
- hybrid
- Cited By
- 34
- References
- 151
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4313592424
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4313592424Canonical identifier for this work in OpenAlex
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https://doi.org/10.1051/0004-6361/202244349Digital Object Identifier
- Title
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Beyond the two-infall modelWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-04Full publication date if available
- Authors
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E. Spitoni, A. Recio–Blanco, P. de Laverny, P. A. Palicio, G. Kordopatis, M. Schultheis, G. Contursi, E. Poggio, D. Romano, F. MatteuccíList of authors in order
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https://doi.org/10.1051/0004-6361/202244349Publisher landing page
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https://www.aanda.org/articles/aa/pdf/2023/02/aa44349-22.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://www.aanda.org/articles/aa/pdf/2023/02/aa44349-22.pdfDirect OA link when available
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Physics, Astrophysics, AstronomyTop concepts (fields/topics) attached by OpenAlex
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34Total citation count in OpenAlex
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2025: 13, 2024: 11, 2023: 8, 2022: 2Per-year citation counts (last 5 years)
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151Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.young | 118, 247, 295 |
| abstract_inverted_index.(X=Mg, | 206 |
| abstract_inverted_index.(high- | 44 |
| abstract_inverted_index.APOGEE | 266 |
| abstract_inverted_index.Hence, | 161 |
| abstract_inverted_index.[X/Fe] | 203 |
| abstract_inverted_index.better | 290 |
| abstract_inverted_index.infall | 159, 230 |
| abstract_inverted_index.models | 262 |
| abstract_inverted_index.module | 63 |
| abstract_inverted_index.narrow | 102 |
| abstract_inverted_index.nicely | 194 |
| abstract_inverted_index.radial | 17 |
| abstract_inverted_index.ratios | 56 |
| abstract_inverted_index.recent | 2, 109, 129, 228, 253 |
| abstract_inverted_index.stars) | 49 |
| abstract_inverted_index.versus | 204 |
| abstract_inverted_index.∼2.7 | 234 |
| abstract_inverted_index.APOKASC | 268 |
| abstract_inverted_index.General | 60 |
| abstract_inverted_index.Release | 5 |
| abstract_inverted_index.Results | 187 |
| abstract_inverted_index.Stellar | 61 |
| abstract_inverted_index.all-sky | 29 |
| abstract_inverted_index.allowed | 238 |
| abstract_inverted_index.compare | 166 |
| abstract_inverted_index.history | 309 |
| abstract_inverted_index.predict | 241, 243, 273 |
| abstract_inverted_index.present | 33 |
| abstract_inverted_index.propose | 142 |
| abstract_inverted_index.several | 133 |
| abstract_inverted_index.started | 233 |
| abstract_inverted_index.Context. | 0 |
| abstract_inverted_index.Galactic | 13, 41 |
| abstract_inverted_index.Methods. | 90 |
| abstract_inverted_index.chemical | 20, 36, 130, 145, 169, 177, 191, 254, 260, 277, 286, 303 |
| abstract_inverted_index.designed | 50, 263 |
| abstract_inverted_index.detailed | 72 |
| abstract_inverted_index.distinct | 158 |
| abstract_inverted_index.enhanced | 105 |
| abstract_inverted_index.episodes | 103 |
| abstract_inverted_index.evidence | 100, 126, 301 |
| abstract_inverted_index.extended | 258 |
| abstract_inverted_index.features | 198 |
| abstract_inverted_index.inferred | 85, 107 |
| abstract_inverted_index.millions | 23 |
| abstract_inverted_index.numerous | 16 |
| abstract_inverted_index.presence | 116 |
| abstract_inverted_index.previous | 87, 95, 259, 311 |
| abstract_inverted_index.proposed | 189, 283 |
| abstract_inverted_index.provided | 57 |
| abstract_inverted_index.releases | 97 |
| abstract_inverted_index.sequence | 48, 153 |
| abstract_inverted_index.(massive) | 119 |
| abstract_inverted_index.Moreover, | 225 |
| abstract_inverted_index.abundance | 55, 201 |
| abstract_inverted_index.coverage. | 30 |
| abstract_inverted_index.different | 217 |
| abstract_inverted_index.elements. | 134, 224 |
| abstract_inverted_index.episodes. | 160 |
| abstract_inverted_index.evolution | 37, 146, 178, 192, 261, 287 |
| abstract_inverted_index.formation | 74 |
| abstract_inverted_index.generated | 155 |
| abstract_inverted_index.histories | 76 |
| abstract_inverted_index.indicated | 114 |
| abstract_inverted_index.modelling | 92 |
| abstract_inverted_index.providing | 15 |
| abstract_inverted_index.releases. | 89, 313 |
| abstract_inverted_index.reproduce | 52, 138, 265 |
| abstract_inverted_index.abundances | 21, 170 |
| abstract_inverted_index.accurately | 242 |
| abstract_inverted_index.components | 43 |
| abstract_inverted_index.considered | 222 |
| abstract_inverted_index.population | 248, 296 |
| abstract_inverted_index.represents | 8 |
| abstract_inverted_index.reproduces | 195 |
| abstract_inverted_index.revolution | 11 |
| abstract_inverted_index.velocities | 18 |
| abstract_inverted_index.abundances. | 278 |
| abstract_inverted_index.components. | 186 |
| abstract_inverted_index.constrained | 69 |
| abstract_inverted_index.experienced | 251 |
| abstract_inverted_index.predictions | 173 |
| abstract_inverted_index.Conclusions. | 256 |
| abstract_inverted_index.archaeology, | 14 |
| abstract_inverted_index.observables, | 140 |
| abstract_inverted_index.three-infall | 176, 190, 285 |
| abstract_inverted_index.unparalleled | 10 |
| abstract_inverted_index.Additionally, | 111 |
| abstract_inverted_index.Sophisticated | 91 |
| abstract_inverted_index.impoverishment | 131, 304 |
| abstract_inverted_index.impoverishment. | 255 |
| abstract_inverted_index.Parametriser-spectroscopy | 62 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 10 |
| citation_normalized_percentile.value | 0.97571335 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |