4 papers
The impact of cosmic filaments on starburst galaxies across cosmic times
Baptiste Jego, Matthieu Béthermin, Katarina Kraljic +17
Cosmological simulations suggest that various galaxy properties depend on their location within the cosmic web. Yet direct observational evidence of the dependence of star formatio…
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…
AGN -- host galaxy photometric decomposition using a fast, accurate and precise deep learning approach
Berta Margalef-Bentabol, Lingyu Wang, Antonio La Marca +1
Identifying active galactic nuclei (AGN) is extremely important for understanding galaxy evolution and its connection with the assembly of supermassive black holes (SMBH). With the…
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…