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A method based on Generative Adversarial Networks for disentangling physical and chemical properties of stars in astronomical spectra
Raúl Santoveña, Carlos Dafonte, Minia Manteiga
Data compression techniques focused on information preservation have become essential in the modern era of big data. In this work, an encoder-decoder architecture has been designed…
Identifying new high-confidence polluted white dwarf candidates using Gaia XP spectra and Self-Organizing Maps
Xabier Pérez-Couto, Lara Pallas-Quintela, Minia Manteiga +2
The identification of new white dwarfs (WDs) polluted with heavy elements is important since they provide a valuable tool for inferring chemical properties of putative planetary sy…
Advanced Classification of Hot Subdwarf Binaries Using Artificial Intelligence Techniques and Gaia DR3 data
C. Viscasillas Vázquez, E. Solano, A. Ulla +11
Hot subdwarfs are compact blue evolved objects, burning helium in their cores surrounded by a tiny hydrogen envelope. Most models agree on a common envelope binary evolution scenar…
A search for Galactic post-asymptotic giant branch stars in Gaia DR3
Iker González-Santamaría, Minia Manteiga, Arturo Manchado +3
Context. When low and intermediate-mass stars leave the Asymptotic Giant Branch (AGB) phase, and before they reach the Planetary Nebulae stage, they enter a very brief and rather p…
Discovery of a dormant 33 solar-mass black hole in pre-release Gaia astrometry
Gaia Collaboration, P. Panuzzo, T. Mazeh +412
Gravitational waves from black-hole merging events have revealed a population of extra-galactic BHs residing in short-period binaries with masses that are higher than expected base…