The Milky Way Assembly Tale - Plot and characters as of today, and what to expect in future editions, Bologna, Italy, 27 - 31 May 2024, pp.84-85, (Summary Text)
We have accumulated one of the largest datasets to date, spanning from the past to the present, thanks to the precise positional, distance, radial velocity, and proper motion information provided by the Gaia satellite. By combining this data with high-resolution spectra obtained through sky surveys, we have traced the traces of significant events in our Galaxy's history in both kinematic and chemical spaces. Among these events, the most prominent is the Milky Way's consumption of the dwarf galaxy Enceladus. The abundance information from high-resolution spectra, coupled with Gaia data, not only allows us to track these merger traces in kinematic space but also reveals their signatures in chemical space. Beyond kinematic and chemical analysis, the necessity of age information is crucial. While various methods exist in the literature for determining ages, each has its advantages and disadvantages. In this study, I will discuss how different age determination methods affect the perspective on the same chemical space data and assess their efficiency in determining ex-situ components. Comparing the Bayesian Age Determination method, isochronal age fitting method, and various literature-based methods on a giant star example formed from the combination of APOGEE and Gaia data, and also I will introduce a newly developed method using the Markov Chain Monte Carlo (MCMC) technique, an extension of my recent doctoral thesis. This study aims to contribute to the discussion on the impact and efficiency of different age determination methods in the context of chemical tagging studies.