2 citations · 2 across the 5 of their papers we have counts for
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Super-resolving Herschel - a deep learning based deconvolution and denoising technique
Dennis Koopmans, Lingyu Wang, Berta Margalef-Bentabol +9
Dusty star-forming galaxies (DSFGs) dominate the far-infrared and sub-millimetre number counts, but single-dish surveys suffer from poor angular resolution, complicating mult-wavel…
Classifying merger stages with adaptive deep learning and cosmological hydrodynamical simulations
Rosa de Graaff, Berta Margalef-Bentabol, Lingyu Wang +4
Hierarchical merging of galaxies plays an important role in galaxy formation and evolution. Mergers could trigger key evolutionary phases such as starburst activities and active ac…
Probabilistic and progressive deblended far-infrared and sub-millimetre point source catalogues I. Methodology and first application in the COSMOS field
Lingyu Wang, Antonio La Marca, Fangyou Gao +12
Single-dish far-infrared (far-IR) and sub-millimetre (sub-mm) point source catalogues and their connections with catalogues at other wavelengths are of paramount importance. Howeve…
The TNG50-SKIRT Atlas: wavelength dependence of the effective radius
Maarten Baes, Aleksandr Mosenkov, Raymond Kelly +17
Galaxy sizes correlate with many other important properties of galaxies, and the cosmic evolution of galaxy sizes is an important observational diagnostic for constraining galaxy e…
The TNG50-SKIRT Atlas: post-processing methodology and first data release
Maarten Baes, Andrea Gebek, Ana Trcka +17
Galaxy morphology is a powerful diagnostic to assess the realism of cosmological hydrodynamical simulations. Determining the morphology of simulated galaxies requires the generatio…