116 citations · 386 across the 12 of their papers we have counts for
3 papers · 1 filter
Predicting far-infrared maps of galaxies via machine learning techniques
Wouter Dobbels, Maarten Baes
The ultraviolet (UV) to sub-millimetre (submm) spectral energy distribution of galaxies can be roughly divided into two sections: the stellar emission (attenuated by dust) at UV to…
Probing the spectral shape of dust emission with the DustPedia galaxy sample
Angelos Nersesian, Wouter Dobbels, Manolis E. Xilouris +10
The objective of this paper is to understand the variance of the far-infrared (FIR) spectral energy distribution (SED) of the DustPedia galaxies, and its link with the stellar and…
A Nearby Galaxy Perspective on Dust Evolution. Scaling relations and constraints on the dust build-up in galaxies with the DustPedia and DGS samples
Frédéric Galliano, Angelos Nersesian, Simone Bianchi +14
Methods. We have modelled a sample of ~800 nearby galaxies, spanning a wide range of metallicity, gas fraction, specific star formation rate and Hubble stage. We have derived the d…