Existing and upcoming instrumentation is collecting large amounts of astrophysical data, which require efficient and fast analysis techniques. We present a deep neural network architecture to analyze high-resolution stellar spectra and predict stellar parameters such as effective temperature, surface gravity, metallicity, and rotational velocity

The study of dwarf galaxies is of great importance to understand galaxy formation and evolution on the smallest mass scales. According to the current cosmological paradigm, galaxies grows hierarchically from the accretion of smaller systems. The dwarf galaxies that we observe today are therefore a living record of the building blocks that drove the

Bennu's and Ryugu's top shapes, which exhibit oblate shapes with equatorial ridges, are considered to have evolved by fast rotation in a longer timescale after the reaccumulation-driven formation. Analyses have suggested different evolution processes that enhanced their top shapes. Bennu's shape may have been driven by surface processing, while

The PRIMitive Asteroid Spectroscopic Survey (PRIMASS) was formed with the goal of determining the origins and likely compositions of mission targets (101955) Bennu and (162173) Ryugu. Both Bennu and Ryugu are thought to have originated from primitive asteroid populations in the inner main belt (IMB), specifically from the low inclination (i<8°)

Context. Cygnus OB2 provides a unique insight into the high-mass stellar content in one of the largest groups of young massive stars in our Galaxy. Although several studies of its massive population have been carried out over the last decades, an extensive spectroscopic study of the whole known O-star population in the association is still lacking

Observations of radio relics at very high frequency (>10 GHz) can help to understand how particles age and are (re-)accelerated in galaxy cluster outskirts and how magnetic fields are amplified in these environments. In this work, we present new single-dish 18.6 GHz Sardinia Radio Telescope and 14.25 GHz Effelsberg observations of the well-known