Determination of the lithium depletion boundary (LDB), i.e., the observational limit below which the cores of very low-mass objects do not reach high enough...
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PublicationThe Lithium Depletion Boundary and the Age of the Hyades Cluster
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PublicationThe luminosity of cluster galaxies in the Cluster-EAGLE simulations
We computed the luminosity of simulated galaxies of the C-EAGLE project, a suite of 30 high-resolution zoom-in simulations of galaxy clusters based on the EAGLE...
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PublicationThe Magellanic System: the puzzle of the leading gas stream
The Magellanic Clouds (MCs) are the most massive gas-bearing systems falling into the Galaxy at the present epoch. They show clear signs of interaction...
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PublicationThe Milky Way Tomography with SDSS. II. Stellar Metallicity
Using effective temperature and metallicity derived from SDSS spectra for ~60,000 F- and G-type main-sequence stars (0.2
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PublicationThe Milky Way Tomography with SDSS. III. Stellar Kinematics
We study Milky Way kinematics using a sample of 18.8 million main-sequence stars with r < 20 and proper-motion measurements derived from Sloan Digital Sky...
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PublicationThe miniJPAS survey quasar selection - I. Mock catalogues for classification
In this series of papers, we employ several machine learning (ML) methods to classify the point-like sources from the miniJPAS catalogue, and identify quasar...
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PublicationThe miniJPAS survey: Maximising the photo-z accuracy from multi-survey datasets with probability conflation
We present a new method for obtaining photometric redshifts (photo-z) for sources observed by multiple photometric surveys using a combination (conflation) of...
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PublicationThe miniJPAS survey: Photometric redshift catalogue
MiniJPAS is a ∼1 deg 2 imaging survey of the AEGIS field in 60 bands, performed to demonstrate the scientific potential of the upcoming Javalambre-Physics of...
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PublicationThe miniJPAS survey: star-galaxy classification using machine learning
Context. Future astrophysical surveys such as J-PAS will produce very large datasets, the so-called "big data", which will require the deployment of accurate...