Stars in Galactic globular clusters exhibit anti-correlations in the light-element abundances, the most notorious being the Na-O abundance anti-correlation, in several peculiar cases, star-to-star metallicity and neutron-capture element variations. The currently held view is that globular clusters host multiple stellar populations, but how such systems formed and evolved remains a mystery....
Nearby metal-poor starburst dwarf galaxies present a unique opportunity to probe the physics of high-density star formation with a detail and sensitivity unmatched by any observation of the high-z Universe. These chemically unevolved galaxies also offer insight into the synthesis, dispersal, and ejection of metals in galaxies, from the inflows of minimally processed material to the...
Environmental effects play a primary role in galaxy evolution and in particular in shaping the star formation history of galaxies in groups and even more so in clusters; Ram-pressure was proved to be among the most efficient ones in dense environments.
MUSE is giving new and fundamental insights on this phenomenon in low to intermediate redshift (z~0.3-0.4) cluster galaxies, however available...
will introduce BlueMUSE, a blue-optimised, medium spectral resolution, panoramic integral field spectrograph proposed for the Very Large Telescope. The project is an evolution of the technology used on the very successful MUSE instrument, with a new and distinct science case enabled by its unique blue spectral coverage, together with a larger field of view and improved spectral...
Massive stars play a key role in various fields of astrophysics. They explode as core-collapse supernovae, sometimes associated with gamma-ray bursts. They produce compact objects (neutron stars and black holes) that can merge and emit gravitational waves. However the evolution and end states of massive stars are still subject to many uncertainties.
In this contribution I will illustrate...
We present a novel approach to determine stellar parameters from stars observed in MUSE fields making use of data driven machine learning methods. Taking advantage of the comparable spectral properties (resolution, wavelength coverage) of the LAMOST and MUSE instruments, we adapt the Data-Driven Payne model used on LAMOST observations and apply it to stars observed in MUSE fields. We find that...
Adaptive optics (AO) will be the workhorse tool for most of the future ground-based observing facilities. Accurately modeling the point spread function (PSF) of these instruments will be mandatory to fully exploit their scientific potential. Reconstructing the PSF of AO instrumentation is challenging, since it is much more complex than in the traditional seeing-limited case or for space based...
Outflowing gas driven by star formation plays an important part in regulating the subsequent star formation. However the details of this star formation feedback process are still unclear, particularly in starbursting environments. To better constrain feedback models, high resolution IFU observations are needed to spatially resolve star-formation driven outflow properties and link these to...
Images delivered by optical systems are formed through a convolution between the intensity distribution of the observed object and the system Point Spread Function (PSF). As a consequence, accurate estimations of the object properties (photometry, astrometry, morphology, ...) require models or measurements of the PSF. Such an estimation becomes a bottleneck when deploying Adaptive-Optics (AO)...
