Aims: With available Virtual Observatory tools, we looked for new M dwarfs in the solar neighbourhood and M giants with high tangential velocities. Methods...
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PublicationIdentification of red high proper-motion objects in Tycho-2 and 2MASS catalogues using Virtual Observatory tools
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PublicationJ-PLUS: Support vector machine applied to STAR-GALAXY-QSO classification
Context. In modern astronomy, machine learning has proved to be efficient and effective in mining big data from the newest telescopes. Aims: In this study, we...
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PublicationJ-PLUS: Support vector regression to measure stellar parameters
Context. Stellar parameters are among the most important characteristics in studies of stars which, in traditional methods, are based on atmosphere models...
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PublicationJ-PLUS: The Javalambre Photometric Local Universe Survey
The Javalambre Photometric Local Universe Survey (J-PLUS ) is an ongoing 12-band photometric optical survey, observing thousands of square degrees of the...
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PublicationLamost Observations in the Kepler Field. I. Database of Low-resolution Spectra
The nearly continuous light curves with micromagnitude precision provided by the space mission Kepler are revolutionizing our view of pulsating stars. They have...
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PublicationMining the ESO WFI and INT WFC archives for known Near Earth Asteroids. Mega-Precovery software
The ESO/MPG WFI and the INT WFC wide field archives comprising 330 000 images were mined to search for serendipitous encounters of known Near Earth Asteroids...
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PublicationNew database for a sample of optically bright lensed quasars in the northern hemisphere
In the framework of the Gravitational LENses and DArk MAtter (GLENDAMA) project, we present a database of nine gravitationally lensed quasars (GLQs) that have...
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PublicationOn the estimation of stellar parameters with uncertainty prediction from Generative Artificial Neural Networks: application to Gaia RVS simulated spectra
Aims: We present an innovative artificial neural network (ANN) architecture, called Generative ANN (GANN), that computes the forward model, that is it learns...
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PublicationRevisiting the Hubble sequence in the SDSS DR7 spectroscopic sample: a publicly available Bayesian automated classification
We present an automated morphological classification in 4 types (E, S0, Sab, Scd) of ~700 000 galaxies from the SDSS DR7 spectroscopic sample based on support...