GI-Telemática-Artigos: Envíos recentes

Mostrando ítems 11-15 de 31

    • Gaia Data Release 3: Pulsations in main sequence OBAF-type stars 

      Ridder, Joris de; Manteiga, Minia; Garabato, D.; Álvarez, M. A.; Dafonte, Carlos; Gómez García, Ángel; González Santamaría, I.; Torralba Elipe, Guillermo (EDP Sciences, 2023)
      [Abstract] Context. The third Gaia data release provides photometric time series covering 34 months for about 10 million stars. For many of those stars, a characterisation in Fourier space and their variability classification ...

    • Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument 

      Adame, A. G.; Álvarez, M. A. (IOP Publishing, 2024-01-15)
      [Abstract]: The Dark Energy Spectroscopic Instrument (DESI) was designed to conduct a survey covering 14,000 deg2 over 5 yr to constrain the cosmic expansion history through precise measurements of baryon acoustic oscillations ...

    • The AMBRE Project: Origin and evolution of sulfur in the Milky Way 

      Perdigon, J.; Laverny, Patrick de; Recio-Blanco, A.; Fernández-Alvar, Emma; Santos-Peral, Pablo; Kordopatis, Georges; Álvarez, M. A. (EDP Sciences, 2021-03)
      [Abstract]: Context. Sulfur is a volatile chemical element that plays an important role in tracing the chemical evolution of the Milky Way and external galaxies. However, its nucleosynthesis origin and abundance variations ...

    • Gaia Data Release 2: Observations of solar system objects 

      Manteiga, Minia; Spoto, F.; Álvarez, M. A.; Arcay, Bernardino; Dafonte, Carlos; Garabato, D. (EDP Sciences, 2018)
      [Abstract] Context. The Gaia spacecraft of the European Space Agency (ESA) has been securing observations of solar system objects (SSOs) since the beginning of its operations. Data Release 2 (DR2) contains the observations ...

    • A Content-Based Approach to Profile Expansion 

      Fernández, Diego; Formoso, Vreixo; Cacheda, Fidel; Carneiro, Víctor (World Scientific, 2020-12)
      [Abstract]: Collaborative Filtering algorithms suffer from the so-called cold-start problem. In particular, when a user has rated few items, recommendations offered by these algorithms are not too accurate. Profile Expansion ...