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

Session

Session: Heavy data

30 May 2024, 09:00

Bologna

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

Guillaume Guiglion

30/05/2024, 09:00

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

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

30/05/2024, 09:30

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

Samir Nepal (AIP, Potsdam)

30/05/2024, 09:50

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)

30/05/2024, 10:10