Speaker
Description
Low Surface Brightness Galaxies(LSBGs) are defined as galaxies with an average surface brightness luminosity greater than 23 magnitude arcsec-2 in the r-band, making them fainter than the night sky. Thuruthipilly et al.(2023) built a machine learning (ML) pipeline able to detect them in the Dark Energy Survey(DES) Data Release 1 using the optimal bands(r/g/z-bands), finding thousands of new candidates and creating an updated catalogue. This catalogue also contains more than 300 Ultra Diffuse Galaxies (UDGs) - a subtype of LBGs - characterised by having significant sizes but very faint luminosities. I will describe the results of the observation campaign of 22 UDGs candidates performed at the LBT using MODS instruments. Selected sources have a blue colour(g-r), indicating possible star-forming regions. Once reduced, the data showed clear emission [OII], Hⲁ and [OIII] lines. Data reduction also revealed Hᵧ and Hᵦ emission. The redshift measurement confirmed many of them as LSBGs, proving the goodness of the ML pipeline developed.