English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

We present a novel approach to deriving stellar labels for stars observed inMUSE fields making use of data-driven machine learning methods. Takingadvantage of the comparable spectral properties (resolution, wavelengthcoverage) of the LAMOST and MUSE instruments, we adopt the Data-Driven Payne(DD-Payne) model used on LAMOST observations and apply it to stars observed inMUSE fields. Remarkably, in spite of instrumental differences, according to thecross-validation of 27 LAMOST-MUSE common stars, we are able to determinestellar labels with precision better than 75K in $T_{\rm eff}$, 0.15 dex in$\log g$, and 0.1 dex in abundances of [Fe/H], [Mg/Fe], [Si/Fe], [Ti/Fe],[C/Fe], [Ni/Fe] and [Cr/Fe] for current MUSE observations over a parameterrange of 3800<$T_{\rm eff}$<7000 K, -1.5<[Fe/H]<0.5 dex. To date, MUSE has beenused to target 13,000 fields across the southern sky since it was firstcommissioned six years ago and it is unique in its ability to study dense starfields such as globular clusters or the Milky Way bulge. Our method will enablethe automated determination of stellar parameters for all stars in thesefields. Additionally, it opens the door for applications to data collected byother spectrographs having resolution similar to LAMOST. With the upcomingBlueMUSE and MAVIS, we will gain access to a whole new range of chemicalabundances with higher precision, especially critical s-process elements suchas [Y/Fe] and [Ba/Fe] that provide key age diagnostics for stellar targets.

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