Chiron is the second-largest Centaur, with an effective diameter of 210 km, and is among the most well-studied minor bodies in the middle and outer Solar System. Notably, Chiron belongs to the enigmatic subpopulation of active Centaurs and has displayed cometary activity several times since its discovery. In March 2021, Chiron underwent an outburst

Approximately 15% of the near-Earth asteroid (NEA) population are estimated to be binary systems. 54 binaries have Arecibo radar observations; 2020 BX 12 is one of them. Discovered on January 27, 2020, by the Asteroid Terrestrial-impact Last Alert System (ATLAS) survey at Mauna Loa Observatory, 2020 BX 12 has an absolute magnitude of 20.6 and an

Trans-Neptunian Objects (TNOs) harbor some of the most pristine materials in the Solar System. JWST observations of TNOs from Cycle 1's campaign of "Discovering the composition of the TNOs" (DisCo-TNOs; #2418) provided the first, broad infrared (IR; 0.9—5 μm) coverage of these small-bodies. Spectral analyses of the over 50 DisCo-TNOs targets

We present unprecedented findings on (2060) Chiron using James Webb Space Telescope (JWST) NIRSpec imaging and spectroscopy from cycle 1 GTO program 1273. Our study (Pinilla-Alonso et al. 2024 A&A Letter) marks the first detection of carbon dioxide (CO 2) and methane (CH 4) active outgassing and coma emission at heliocentric distances of ~18 au

The Calar Alto Void Integral-field Treasury surveY (CAVITY) is a legacy project aimed at characterising the population of galaxies inhabiting voids, which are the most under-dense regions of the cosmic web, located in the Local Universe. This paper describes the first public data release (DR1) of CAVITY, comprising science-grade optical data cubes

A crucial yet challenging task in galaxy evolution studies is the identification of distant merging galaxies, a task that suffers from a variety of issues ranging from telescope sensitivities and limitations to the inherently chaotic morphologies of young galaxies. In this paper, we use random forests and convolutional neural networks to identify