116 citations · 386 across the 12 of their papers we have counts for
16 papers
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…
High-resolution, 3D radiative transfer modelling V. A detailed model of the M51 interacting pair
Angelos Nersesian, Sebastien Viaene, Ilse De Looze +13
Investigating the dust heating mechanisms in galaxies provides a deeper understanding of how the internal energy balance drives their evolution. Over the last decade, radiative tra…
Nonparametric galaxy morphology from UV to submm wavelengths
Maarten Baes, Angelos Nersesian, Viviana Casasola +13
We present the first nonparametric morphological analysis of a set of spiral galaxies from UV to submm wavelengths. Our study is based on high-quality multi-wavelength imaging for…
High-resolution, 3D radiative transfer modelling IV. AGN-powered dust heating in NGC 1068
S. Viaene, A. Nersesian, J. Fritz +18
Dust emission, an important diagnostic of star formation and ISM mass throughout the Universe, can be powered by sources unrelated to ongoing star formation. In the framework of th…