The number of globular clusters plays a fundamental role in understanding the early stages of galaxy formation. We know that the GC population of normal galaxies correlates with the amount of dark matter in these objects. Extending this analysis to the number of globulars in very low surface brightness galaxies is therefore key to understanding the

It has been 20 years since the classification of galaxy disk types observed in deep imaging was established. These classifications, which notably consist of pure exponential, truncated, and antitruncated, have significantly enriched our understanding of the structural diversity within galaxies. Using ultra-deep imaging, most spiral galaxy profiles

We study the bar fraction in the MACS J0647.8+7015 cluster of galaxies at z=0.59 using the observations obtained with the NIRCam instrument mounted on the JWST telescope. We visually inspected the near infrared images obtained with the F200W filter of all the cluster members to identify the presence of bars. The cluster member selection was based

Recent observational studies suggest that feedback from active galactic nuclei (AGNs) may play an important role in the formation and evolution of low-mass dwarf galaxies, an issue that has received little attention from a theoretical perspective. We investigate this using two sets of 12 cosmological magneto-hydrodynamical simulations of the

Ultra-diffuse galaxies (UDGs) are attractive candidates to probe cosmological models and test theories of galaxy formation at low masses; however, they are difficult to detect because of their low surface brightness. In the Local Group a handful of UDGs have been found to date, most of which are satellites of the Milky Way and M31, and only two are

The dynamical study of nearby dwarf spheroidal galaxies has played a fundamental role in challenging the cold dark matter model. These studies, based on the analysis of resolved stellar populations, are limited by the fact that we can only probe a small population of the nearest nearby galaxies. In the coming years, ultra-deep surveys will increase