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.
Revue:
Astronomy and Astrophysics

ISSN: 1432-0746,  0004-6361

Année de publication: 2023

Volumen: 672

Type: Article

DOI: 10.1051/0004-6361/202244766 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus