dc.contributor.author | Buckley, Nicole | |
dc.contributor.author | Das, Payel | |
dc.contributor.author | Jofré, Paula | |
dc.contributor.author | Yates, Robert M | |
dc.contributor.author | Hawkins, Keith | |
dc.date.accessioned | 2024-12-06T10:30:01Z | |
dc.date.available | 2024-12-06T10:30:01Z | |
dc.date.issued | 2024-11-30 | |
dc.identifier.citation | Buckley , N , Das , P , Jofré , P , Yates , R M & Hawkins , K 2024 , ' The chemical diversity of the metal-poor Milky Way ' , Monthly Notices of the Royal Astronomical Society , vol. 534 , no. 3 , stae2202 , pp. 1985-2005 . https://doi.org/10.1093/mnras/stae2202 | |
dc.identifier.issn | 0035-8711 | |
dc.identifier.other | RIS: urn:84086F6DACC4870DA7FFCD530E66188B | |
dc.identifier.other | ORCID: /0000-0001-9320-4958/work/173286423 | |
dc.identifier.uri | http://hdl.handle.net/2299/28518 | |
dc.description | © 2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. This is an open access article distributed under the Creative Commons Attribution License, to view a copy of the license, see: https://creativecommons.org/licenses/by/4.0/ | |
dc.description.abstract | We present a detailed study of the chemical diversity of the metal-poor Milky Way using data from the GALAH DR3 survey. Considering 17 chemical abundances relative to iron ([X/Fe]) for 9923 stars, we employ principal component analysis (PCA) and extreme deconvolution (XD) to identify 10 distinct stellar groups. This approach, free from chemical or dynamical cuts, reveals known populations, including the accreted halo, thick disc, thin disc, and in situ halo. The thick disc is characterized by multiple substructures, suggesting it comprises stars formed in diverse environments. Our findings highlight the limited discriminatory power of magnesium in separating accreted and disc stars. Elements such as Ba, Al, Cu, and Sc are critical in distinguishing disc from accreted stars, while Ba, Y, Eu, and Zn differentiate disc and accreted stars from the in situ halo. This study demonstrates the potential power of combining a latent space representation of the data (PCA) with a clustering algorithm (XD) in Galactic archaeology, in providing new insights into the Galaxy’s assembly and evolutionary history. | en |
dc.format.extent | 21 | |
dc.format.extent | 3645982 | |
dc.language.iso | eng | |
dc.relation.ispartof | Monthly Notices of the Royal Astronomical Society | |
dc.title | The chemical diversity of the metal-poor Milky Way | en |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Centre for Astrophysics Research (CAR) | |
dc.contributor.institution | Department of Physics, Astronomy and Mathematics | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.1093/mnras/stae2202 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |