8 citations · 8 across the 3 of their papers we have counts for
3 papers
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…
Galactic Archaeology with [Mg/Mn] versus [Al/Fe] abundance ratios -- Uncertainties and caveats
Arianna Vasini, Emanuele Spitoni, Francesca Matteucci
The diagram depicting the abundance ratios [Mg/Mn] vs. [Al/Fe] has gained attention in recent literature as a valuable tool for exploring fundamental aspects of the evolution of th…
Evolution of radioactive elements in the LMC: predictions for future gamma-ray surveys
Arianna Vasini, Francesca Matteucci, Emanuele Spitoni +1
Short-lived radionuclides, such as 26Al and 60Fe, are tracers of star formation. Therefore, their abundances can unravel the recent star formation history of the host galaxy. In vi…