LiteBIRD, the Lite (Light) satellite for the study of B-mode polarization and Inflation from cosmic background Radiation Detection, is a space mission for primordial cosmology and fundamental physics. The Japan Aerospace Exploration Agency (JAXA) selected LiteBIRD in May 2019 as a strategic large-class (L-class) mission, with an expected launch in

In this work, we present the analysis and discussion of the first 0.6-5.2 μm spectra of Pluto at four different longitudes obtained with the James Webb Space Telescope (JWST). These spectra were acquired during year 1 of operations of JWST under the GTO-1 program #1191, led by J. Stansberry. The high-resolution (R~2700), high-sensitivity

Trans-Neptunian objects (TNOs) are leftovers of planetary formation that orbit in the region beyond Neptune. Trans-Neptunian binaries (TNBs) provide a valuable opportunity to test the models of formation and evolution of planetesimals in the trans-Neptunian region. Some theories have been proposed to describe the observed separations between binary

On 26 September 2022, NASA's Double Asteroid Redirection Test (DART) mission impacted Dimorphos, the moonlet of near-earth asteroid (65803) Didymos, performing the world's first planetary defence test. ESA's Hera mission will be launched in October 2024 and rendezvous with the Didymos system end of 2026 or beginning of 2027. It will closely

We present CARMA, the Cluster Ages to Reconstruct the Milky Way Assembly project, the aim of which is to determine precise and accurate age measurements for the entire system of known Galactic globular clusters (GCs) and to use them to trace the most significant merger events experienced by the Milky Way. The strength of CARMA relies on the use of

We employ the corrected Gaia Early Data Release 3 photometric data and spectroscopic data from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) DR7 to assemble a sample of approximately 0.25 million FGK dwarf photometric standard stars for the 12 J-PLUS filters using the stellar color regression (SCR) method. We then