Observations suggest that Asymptotic Giant Branch (AGB) stars contribute significantly to the dust budgets of galaxies, from our own Presolar Nebula to the Magellanic Clouds. However, models suggest their contribution should decrease with metallicity, possibly becoming overshadowed by supernova and interstellar grain growth in primitive

Leo I is considered one of the youngest dwarf spheroidals (dSph) in the Local Group. Its isolation, extended star formation history (SFH), and recent perigalacticon passage (∼1 Gyr ago) make Leo I one of the most interesting nearby stellar systems. Here, we analyse deep photometric Hubble Space Telescope data via colour-magnitude diagram fitting

OSIRIS-REx (Origins, Spectral Interpretation, Resource Identification, and Security-Regolith Explorer) is a NASA mission to return a sample of asteroid (101955) Bennu. Photometric modeling of Bennu's surface is a key element of both sample site characterization and our broader scientific understanding of the asteroid. Bennu's heterogeneous surface

This is a proposal for 98 hours of NIRSPEC/PRISM observations of 59 trans-Neptunian objects and Centaurs (hereafter, TNOs). Our targets cover a diverse range of orbital characteristics, sizes, albedos, and surface compositions complementary to the GTO targets. The TNO population includes some of the most primitive bodies in the Solar System and

BOSS-EUVLG1 is the most ultraviolet (UV) and Lyα luminous galaxy to be going through a very active starburst phase detected thus far in the Universe. It is forming stars at a rate of 955 ± 118 M ⊙ yr ‒1. We report the detection of a broad Hα component carrying 25% of the total Hα flux. The broad Hα line traces a fast and massive ionized gas outflow

Upcoming large-area narrow band photometric surveys, such as Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS), will enable us to observe a large number of galaxies simultaneously and efficiently. However, it will be challenging to analyse the spatially resolved stellar populations of galaxies from such big data to