The Gaia -ESO Survey: Chemical evolution of Mg and Al in the Milky Way with machine learning

  1. Ambrosch, M.
  2. Guiglion, G.
  3. Mikolaitis, S.
  4. Chiappini, C.
  5. Tautvaisiene, G.
  6. Nepal, S.
  7. Gilmore, G.
  8. Randich, S.
  9. Bensby, T.
  10. Bayo, A.
  11. Bergemann, M.
  12. Morbidelli, L.
  13. Pancino, E.
  14. Sacco, G.G.
  15. Smiljanic, R.
  16. Zaggia, S.
  17. Jofré, P.
  18. Jiménez-Esteban, F.M.
Journal:
Astronomy and Astrophysics

ISSN: 1432-0746,  0004-6361

Year of publication: 2023

Volume: 672

Type: Article

DOI: 10.1051/0004-6361/202244766 GOOGLE SCHOLAR lock_openOpen access editor
Data source: Scopus