8 citations · 14 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Detailed Chemical Abundances of Star Clusters in the Large Magellanic Cloud
Randa Asa'd, S. Hernandez, A. M. As'ad +4
We derive the first detailed chemical abundances of three star clusters in the Large Magellanic Cloud (LMC), NGC1831 (436+/-22 Myr), NGC1856 (350+/-18 Myr) and [SL63]268 (1230+/-62…
On the Precision of Full-Spectrum Fitting of Simple Stellar Populations. IV. A Systematic Comparison with Results from Colour-Magnitude Diagrams
Randa Asa'd, Paul Goudfrooij, A. M. As'ad
In this fourth paper of a series on the precision of ages of stellar populations obtained through the full-spectrum fitting technique, we present a first systematic analysis that c…
On the Precision of Full-spectrum Fitting of Stellar Populations. III. Identifying Age Spreads
Randa Asa'd, Paul Goudfrooij, A. M. As'ad +4
In this third paper of a series on the precision of obtaining ages of stellar populations using the full spectrum fitting technique, we examine the precision of this technique in d…