The low surface brightness (LSB) universe is one of the last frontiers in observational astronomy. However, uncovering the information contained in ultra-deep imaging is technically challenging. In this contribution, we present one of the fundamental tools of LSB astronomers: correcting for the extended Point-Spread Function (PSF), which is

The low surface brightness Universe is one of the latest frontier in observational Astronomy. However, uncovering the precious information contained in ultra-deep imaging is technically challenging. In this contribution, we will present one of the fundamental tools in the toolbox of low surface brightness astronomers: the extended Point Spread

Upcoming deep surveys (e.g. LSST, JWST, EUCLID) will provide high quality imaging at unprecedentedly high red shifts, allowing the study of galaxy morphology at different cosmic times. The processing of such data will be necessarily automatized due to its enormous volume. Deep Learning has proven to be a powerful tool in these situations. Previous

Como investigadores, trabajamos para la gente. Nuestra carrera científica suele estar financiada con fondos públicos y podemos ayudar a periodistas y divulgadores profesionales a transmitir nuestro trabajo a la sociedad para convertirlo en un genuino legado público. Gaveta de Astrofísica consiste en una página bisemanal publicada en el periódico El

Context. The Hayabusa2 spacecraft launched by Japan Aerospace Exploration Agency has been conducting observations of the asteroid (162173) Ryugu since June 2018. The Telescopic Optical Navigation Camera (ONC-T) onboard Hayabusa2 has obtained thousands of images under a variety of illumination and viewing conditions. Aims: Our objective is to