64 citations · 69 across the 3 of their papers we have counts for
3 papers
Observational constraints on the origin of the elements. X. Combining NLTE and machine learning for chemical diagnostics of 4 million stars in the 4MIDABLE-HR survey
Nicholas Storm, Maria Bergemann, Tomasz Różański +9
We present the 4MOST-HR resolution Non-Local Thermal Equilibrium (NLTE) Payne artificial neural network (ANN), trained on new FGK spectra with 16 elements computed in NL…
A deep-learning approach to the 3D reconstruction of dust density and temperature in star-forming regions
Victor F. Ksoll, Stefan Reissl, Ralf S. Klessen +7
Aims: We introduce a new deep-learning approach for the reconstruction of 3D dust density and temperature distributions from multi-wavelength dust emission observations on the scal…
SIGNALS: I. Survey Description
L. Rousseau-Nepton, R. P. Martin, C. Robert +60
SIGNALS, the Star formation, Ionized Gas, and Nebular Abundances Legacy Survey, is a large observing program designed to investigate massive star formation and HII regions in a sam…