Assembling a high-precision abundance catalogue of solar twins in GALAH for phylogenetic studies

dc.contributor.authorWalsen, Kurt
dc.contributor.authorJofre, Paula
dc.contributor.authorBuder, Sven
dc.contributor.authorYaxley, Keaghan
dc.contributor.authorDas, Payel
dc.contributor.authorYates, Robert M.
dc.contributor.authorHua, Xia
dc.contributor.authorSignor, Theosamuele
dc.contributor.authorEldridge, Camilla
dc.contributor.authorRojas-Arriagada, Alvaro
dc.contributor.authorTissera, Patricia B.
dc.contributor.authorJohnston, Evelyn
dc.contributor.authorAguilera-Gomez, Claudia
dc.contributor.authorZoccali, Manuela
dc.contributor.authorGilmore, Gerry
dc.contributor.authorFoley, Robert
dc.date.accessioned2025-01-20T17:06:26Z
dc.date.available2025-01-20T17:06:26Z
dc.date.issued2024
dc.description.abstractStellar chemical abundances have proved themselves a key source of information for understanding the evolution of the Milky Way, and the scale of major stellar surveys such as GALAH have massively increased the amount of chemical data available. However, progress is hampered by the level of precision in chemical abundance data as well as the visualization methods for comparing the multidimensional outputs of chemical evolution models to stellar abundance data. Machine learning methods have greatly improved the former; while the application of tree-building or phylogenetic methods borrowed from biology are beginning to show promise with the latter. Here, we analyse a sample of GALAH solar twins to address these issues. We apply The Cannon algorithm to generate a catalogue of about 40 000 solar twins with 14 high precision abundances which we use to perform a phylogenetic analysis on a selection of stars that have two different ranges of eccentricities. From our analyses, we are able to find a group with mostly stars on circular orbits and some old stars with eccentric orbits whose age-[Y/Mg] relation agrees remarkably well with the chemical clocks published by previous high precision abundance studies. Our results show the power of combining survey data with machine learning and phylogenetics to reconstruct the history of the Milky Way.
dc.fuente.origenWOS
dc.identifier.doi10.1093/mnras/stae280
dc.identifier.eissn1365-2966
dc.identifier.issn0035-8711
dc.identifier.urihttps://doi.org/10.1093/mnras/stae280
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/90784
dc.identifier.wosidWOS:001189423300014
dc.issue.numero3
dc.language.isoen
dc.pagina.final2966
dc.pagina.inicio2946
dc.revistaMonthly notices of the royal astronomical society
dc.rightsacceso restringido
dc.subjectmethods: data analysis
dc.subjecttechniques: spectroscopic
dc.subjectcatalogues
dc.subjectstars: abundances
dc.subjectGalaxy: evolution
dc.titleAssembling a high-precision abundance catalogue of solar twins in GALAH for phylogenetic studies
dc.typeartículo
dc.volumen529
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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