The Milky Way Assembly Tale - Plot and characters as of today, and what to expect in future editions

Session

Session: Heavy data

May 30, 2024, 9:00 AM

Bologna

269. Machine-learning methods for stellar spectroscopy in the era of large scale surveys

Guillaume Guiglion

5/30/24, 9:00 AM

270. Spectro-Translator: A new method to homogenize large Spectroscopic catalog

Guillaume Thomas (Instituto de Astrofísica de Canarias (IAC))

5/30/24, 9:30 AM

271. From metal-poor to metal-rich - new insights on MW disc history with machine learning and Gaia

Samir Nepal (AIP, Potsdam)

5/30/24, 9:50 AM

272. Machine learning models for separating accreted and in-situ stars in Milky Way-type galaxies

Andrea Sante (Liverpool John Moores University / The Alan Turing Institute)

5/30/24, 10:10 AM