Trials and Tribulations of Chemodynamical Tagging: Investigating the Recovery of Open Clusters in the Gaia Data Release 3 and GALAH Data Release 4 Catalogs

Chemodynamical tagging has been suggested as a powerful tool to trace stars back to their birth clusters. However, the efficacy of chemodynamical tagging as a means to recover individual stellar clusters is still under debate. In this study, we present a detailed investigation of chemodynamical tagg...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:The Astrophysical journal Ročník 985; číslo 1; s. 129 - 141
Hlavní autoři: Barth, Nicholas A., Mendez, David, Ezzeddine, Rana, Lu, Yuxi(Lucy), Morales, Leslie M., Claytor, Zachary R., Tayar, Jamie
Médium: Journal Article
Jazyk:angličtina
Vydáno: Philadelphia The American Astronomical Society 20.05.2025
IOP Publishing
Témata:
Algorithms
Aluminum
Chemical abundances
Clustering
Magnesium
Metallicity
Milky Way formation
Open clusters
Open star clusters
Parameters
Recovery
Star clusters
Stars
Stellar ages
ISSN:0004-637X, 1538-4357
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Chemodynamical tagging has been suggested as a powerful tool to trace stars back to their birth clusters. However, the efficacy of chemodynamical tagging as a means to recover individual stellar clusters is still under debate. In this study, we present a detailed investigation of chemodynamical tagging of open clusters using both dynamical and chemical data from the Gaia Data Release 3 and GALAH Data Release 4 surveys, respectively. Using a sample of open clusters and mock field stars, we conduct a bootstrap analysis to evaluate every unique combination of orbital components ( E , J R , J ϕ , J Z ) and chemical abundances ([X/Fe] for O, Na, Mg, Al, Si, K, Ca, Sc, Ti, Cr, Mn, Ni, Cu, Y, and Ba) on how well they recover open clusters when used as parameters in the clustering algorithm HDBSCAN. We find that using primarily dynamical orbital parameters leads to the highest recovery rate of open cluster stars. Nevertheless, even employing the best performing parameter combinations leads to low open cluster recovery rates. We find that, in most cases, chemodynamical tagging of open clusters using blind clustering algorithms is not efficient, which is in line with previous theoretical and observational work. However, we show that the addition of cuts based on metallicity, age, and birth radius in order to reduce the size of the clustering catalog can marginally improve the recovery rate of open clusters.
Bibliografie:Stars and Stellar Physics
AAS63240
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0004-637X
1538-4357
DOI:10.3847/1538-4357/adccbc