SPACIOUS (Science PlAtform Cloud Infrastructure for Outsize Usage Scenarios) is a cloud-ready science platform built to make the exploitation of large space-mission datasets more scalable, interactive, and reproducible, leveraging big-data and data-mining technologies. In this talk, I will give a practical overview of what SPACIOUS provides today and how to get started with typical...
We have combined part of the Gaia DR3 catalogue (GaiaSource and EpochPhotometry) with the photometry and classification data from J-PLUS DR3 in a single table, also including the distance estimator by M. Weiler. It is available as partitioned Parquet files, including an index which allows to download just the relevant files for each use case. Additionally, we provide an experimental online...
Thanks to large public spectroscopic surveys, we now possess a wealth of high-quality chemical-abundance data for Milky Way stars. This has significantly advanced our understanding of the Galaxy’s evolution and mass-accretion history, but these surveys remain inherently biased by their pre-selection requirements. Gaia overcomes many of these limitations by providing unparalleled all-sky...
The fourth phase of the Alma Luminous Star (ALS) catalogue aims to create the most comprehensive and complete sample of massive stars in the Magellanic Clouds (MCs). By combining Gaia DR3, which provides high-precision photometric and astrometric data, with SIMBAD, which compiles complementary information from the literature, such as spectroscopy classification, we can identify likely massive...
In this talk, I will present our recent results showing that tidal interactions can strongly affect the dynamical state of stellar bars, and in extreme cases can effectively halt their rotation. Using controlled interaction models motivated by the XMC system, we find that bars can experience a rapid drop in pattern speed down to nearly zero on short timescales around pericentric passages,...
Metal-rich RR Lyrae stars in the Milky Way disc challenge their classical interpretation as purely old tracers. Binary evolution has been proposed as a viable formation channel, predicting a significant population of long-period RR Lyrae binaries. However, none have been robustly identified so far, including in Gaia DR3.
In this talk, I show that Gaia DR3 non-detections already point to a...
RR Lyrae stars are powerful pulsating tracers of the Milky Way’s structure and stellar populations. We present a catalog of 315 RR Lyrae light curves combining Gaia DR3 with J-VAR DR1 observations from the JAST80 telescope at the Observatorio Astrofísico de Javalambre, complemented by J-PLUS multi-filter photometry. We will also present preliminary results from the analysis of Gaia–J-PLUS RR...
Accurately deriving stellar parameters Teff, log g, [Fe/H], and [α/M] for millions of stars is critical for unraveling the Milky Way’s formation and evolution, yet spectroscopy remains costly and prone to selection biases. We present a purely algebraic method that recovers these quantities from a combination of multifilter photometry and parallax from Gaia DR3: a principal-component analysis...
We present CeVeSo-GC, a project aimed at building a homogeneous census of FGKM and ultracool stars out to 500 pc in the direction of the Galactic Center — a region still poorly characterized due to crowding and extinction.
The catalog is constructed by combining Gaia DR3 optical astrometry with deep VVVX near-infrared photometry, enabling distance estimation (parallactic or photometric),...
Cataclysmic Variables (CVs) are interacting binaries made of a white dwarf accreting material from a low mass main sequence Roche-lobe filling secondary star. I use machine learning algorithms to both Gaia low resolution spectra and light curves to identify new objects belonging to this class. Suggestions and advice on the use of spectra is welcome.
