Reliable stellar abundances of individual stars with the MUSE integral-field spectrograph

ABSTRACT We present a novel approach to deriving stellar labels for stars observed in MUSE fields making use of data-driven machine learning methods. Taking advantage the comparable spectral properties (resolution and wavelength coverage) LAMOST instruments, we adopt Payne (DD-Payne) model used on observations apply it fields. Remarkably, spite instrumental differences, according cross-validation 27 LAMOST-MUSE common stars, are able determine with precision better than 75K Teff, 0.15 dex log g, 0.1 abundances [Fe/H], [Mg/Fe], [Si/Fe], [Ti/Fe], [C/Fe], [Ni/Fe], [Cr/Fe] current over parameter range 3800 < Teff 7000 K, −1.5 [Fe/H] 0.5 dex. To date, has been target 13 000 across southern sky since was first commissioned 6 yr ago is unique its ability study dense star such as globular clusters or Milky Way bulge. Our method will enable automated determination parameters all these Additionally, opens door applications data collected by other spectrographs having resolution similar LAMOST. With upcoming BlueMUSE MAVIS, gain access whole new chemical higher precision, especially critical s-process elements, [Y/Fe] [Ba/Fe], that provide key age diagnostics targets.