Exploring the History of the Milky Way with Gaia’s Giant Stars
The study uses Gaia data and machine learning models to estimate the ages of giant stars, revealing insights into the Milky Way's evolution. By analyzing over 2.2 million stars, the researchers identified three major phases in the galaxy's history, including a starburst triggered by a major merger and the formation of the thin disc. Their method advances our ability to trace the Milky Way's structure and development.
Investigating the Milky Way’s Thin Disk Evolution Through Solar Twins
The study by Anastasiia Plotnikova investigates the chemical evolution of the Milky Way’s thin disk by analyzing solar twins—stars similar to the Sun. Using high-resolution spectroscopy, the team examined the age-metallicity relationship (AMR) and found no evidence for a split into distinct populations, challenging previous studies. They suggest that radial migration and galaxy mergers, like the Gaia-Enceladus/Sausage event, significantly shape the disk’s chemical composition, indicating a more continuous, smooth evolution of the thin disk than previously thought.