Introduction: Bodies orbiting the trans-Neptunian regions (TNOs) are windows into Solar System formation, history and evolution. They are remnants from the ancient time of planetary formation in the protoplanetary disk, but they have all been affected to some extent by subsequent dynamical evolution of the Solar System. Many are probably very

Giant planets have numerous moons with various origins and evolutionary paths. During their formation, they had disks of material, whereas regular satellites formed similarly to planetesimals in the solar disk. During their migration, they also captured objects in their orbits, known as irregular satellites. Iapetus is Saturn's third largest and

This paper investigates the frequency of transiting planetary systems around metal-polluted white dwarfs using high-cadence photometry from ULTRACAM and ULTRASPEC on the ground and space-based observations with TESS. Within a sample of 313 metal-polluted white dwarfs with available TESS light curves, two systems known to have irregular transits are

Context. The Southern Photometric Local Universe Survey (S-PLUS) is a project to map ~9300 sq deg of the sky using twelve bands (seven narrow and five broadbands). Observations are performed with the T80-South telescope, a robotic telescope located at the Cerro Tololo Observatory in Chile. The survey footprint consists of several large contiguous

We present cosmological constraints from the sample of Type Ia supernovae (SNe Ia) discovered and measured during the full 5 yr of the Dark Energy Survey (DES) SN program. In contrast to most previous cosmological samples, in which SNe are classified based on their spectra, we classify the DES SNe using a machine learning algorithm applied to their

We present cosmological constraints from the sample of Type Ia supernovae (SNe Ia) discovered and measured during the full 5 yr of the Dark Energy Survey (DES) SN program. In contrast to most previous cosmological samples, in which SNe are classified based on their spectra, we classify the DES SNe using a machine learning algorithm applied to their