Bayesian ages of local young stellar associations

Context. Local young stellar associations (LYSAs <50 Myr and <150 pc) are important laboratories to test predictions from star formation theories. Estimating their ages through various dating techniques with minimal biases is thus of paramount importance. Aims. We aim to determine the ages of LYSAs with the expansion rate dating technique. Methods. We estimated the ages of the LYSAs using literature membership lists, publicly available data (astrometry and radial velocities), and a recent open-source Bayesian code that implements the expansion rate method. This code in combination with simple statistical assumptions allowed us to decontaminate, identify possible substructures or populations, and estimate expansion ages. Results. We derive the largest and most methodological homogeneous set of ages of LYSAs. We rediscover three and discover four associations hidden within the literature membership lists of the classical ones. Conclusions. The expansion ages we report here are compatible with literature age estimates. Moreover, our analysis shows that previous age tensions can be explained, in most cases, by the presence of unidentified populations or substructures.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-07-04
DOI
https://doi.org/10.1051/0004-6361/202554754/pdf
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Bayesian ages of local young stellar associations

Springer Link (Chiba Institute of Technology)
Mycorrhizal Fungi and Plant Interactions
article

Bayesian ages of local young stellar associations

article en

Abstract

Context. Local young stellar associations (LYSAs <50 Myr and <150 pc) are important laboratories to test predictions from star formation theories. Estimating their ages through various dating techniques with minimal biases is thus of paramount importance. Aims. We aim to determine the ages of LYSAs with the expansion rate dating technique. Methods. We estimated the ages of the LYSAs using literature membership lists, publicly available data (astrometry and radial velocities), and a recent open-source Bayesian code that implements the expansion rate method. This code in combination with simple statistical assumptions allowed us to decontaminate, identify possible substructures or populations, and estimate expansion ages. Results. We derive the largest and most methodological homogeneous set of ages of LYSAs. We rediscover three and discover four associations hidden within the literature membership lists of the classical ones. Conclusions. The expansion ages we report here are compatible with literature age estimates. Moreover, our analysis shows that previous age tensions can be explained, in most cases, by the presence of unidentified populations or substructures.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 54%
Mycorrhizal Fungi and Plant Interactions
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Bayesian ages of local young stellar associations · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS