The gaia-eso survey: chemical evolution of mg and al in the milky way with machine learning

HIGHLIGHTS

• who: Ambrosch M. and colleagues from the Institute of Theoretical Physics and, Vilnius University, Sauleu0307tekio Av3, Vilnius, Lithuania Max Planck Institute for, Ku00f6nigstuhl, Heidelberg, Germany have published the paper: The Gaia-ESO Survey: Chemical evolution of Mg and Al in the Milky Way with machine learning, in the Journal: (JOURNAL)
• what: The authors aim to prepare the groundwork for machine learning techniques for the next generation of spectroscopic surveys such as 4MOST and WEAVE. The authors propose to test a CNN approach in the context of the Gaia-ESO survey (GES, Gilmore et_al 2012; Randich . . .
  

   

  

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