20 citations · 23 across the 5 of their papers we have counts for
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oMEGACat. IX. Chemical Tagging of Omega Centauri Populations with Machine-Learning-Inferred Abundances from the MUSE Spectrograph
Z. Wang, A. C. Seth, C. Clontz +14
We present chemical abundance measurements for 7,302 red giant branch stars within the half-light radius (~5') of Centauri ( Cen), derived from MUSE spectra using the neural…
oMEGACat. VIII. A Subpopulation Census of ω Centauri
C. Clontz, A. C. Seth, Z. Wang +8
An understanding of the assembly history of the complex star cluster Omega Centauri has long been sought after, with many studies separating the stars on the color-magnitude diagra…
oMEGACat V: Helium Enrichment in Centauri as a Function of Metallicity
C. Clontz, A. C. Seth, Z. Wang +12
Constraining the helium enhancement in stars is critical for understanding the formation mechanisms of multiple populations in star clusters. However, measuring helium variations f…
oMEGACat IV: Constraining Ages of Omega Centauri sub-giant branch stars with HST and MUSE
C. Clontz, A. C. Seth, A. Dotter +13
We present age estimates for over 8100 sub-giant branch (SGB) stars in Omega Centauri ( Cen) to study its star formation history. Our large data set, which combines multi-wavele…
oMEGACat III. Multi-band photometry and metallicities reveal spatially well-mixed populations within Centauri's half-light radius
M. S. Nitschai, N. Neumayer, M. Häberle +15
Centauri, the most massive globular cluster in the Milky Way, has long been suspected to be the stripped nucleus of a dwarf galaxy that fell into the Galaxy a long time ago. Th…
NGC1856: Using machine learning techniques to uncover detailed stellar abundances from MUSE data
Randa Asa'd, S. Hernandez, Johina M. John +5
We present the first application of the novel approach based on data-driven machine learning methods applied to Multi-Unit Spectroscopic Explorer (MUSE) field data to derive stella…