Over the past decade, microlensing surveys in field stars and the Gaia-informed census of nearby star-forming regions have convincingly demonsrated the presence of a significant population of free-floating planetary-mass objects. The origin of these objects is still debated, with the main plausible scenarios being: the dynamical ejection from a

Context. The study of the Milky Way is living a golden era thanks to the enormous high-quality datasets delivered by Gaia, and space asteroseismic and ground-based spectroscopic surveys. However, the current major challenge to reconstructing the chronology of the Milky Way is the difficulty to derive precise stellar ages for large samples of stars

The derivation of precise stellar ages is considered the current major challenge to reconstruct the chronological chain of events that shaped the Milky Way (MW). Despite much effort and hope have been deposited in upcoming asteroseismology works, we have shown that CMD-fitting already offers an alternative to age determinations via the derivation

Context. Since the discovery of the first exoplanet almost three decades ago, the number of known exoplanets has increased dramatically. By beginning of the 2000s it was clear that dedicated facilities to advance our studies in this field were needed. The CHaracterising ExOPlanet Satellite (CHEOPS) is a space telescope specifically designed to

Detached eclipsing binaries (DEBs) and astrometric binaries provide the opportunity for model-independent dynamical mass determination up to very high accuracy. For the stellar modelling and age-dating, freezing the model-independent mass is the most important and critical constraint to limit systematic uncertainties. In addition, stellar radii can

We present a Bayesian inference method to characterize the dust emission properties using the well-known dust-${\rm H\,{\small I}}$ correlation in the diffuse interstellar medium at Planck frequencies $\nu \ge 217$ GHz. We use the Galactic ${\rm H\,{\small I}}$ map from the Galactic All-Sky Survey (GASS) as a template to trace the Galactic dust