Recent Submissions

  • Personalized Virtual Reality Environments for Intervention with People with Disability 

    Lagos Rodríguez, Manuel; Gómez García, Ángel; Pereira, Javier; Pousada, Thais (MDPI, 2022)
    [Abstract] Background: Virtual reality (VR) is a technological resource that allows the generation of an environment of great realism while achieving user immersion. The purpose of this project is to use VR as a complementary ...
  • Planetary Nebulae in Gaia EDR3: Central Star Identification, Properties, and Binarity 

    González Santamaría, I.; Manteiga, Minia; Manchado, Arturo; Ulla, Ana; Dafonte, Carlos; López-Varela, Pablo (EDP Science, 2021)
    [Abstract] Context. The Gaia Early Data Release 3 (EDR3), published in December 2020, features improved photometry and astrometry compared to that published in the previous DR2 file and includes a substantially larger ...
  • GUASOM: An Adaptive Visualization Tool for Unsupervised Clustering in Spectrophotometric Astronomical Surveys 

    Álvarez, M. A.; Dafonte, Carlos; Manteiga, Minia; Garabato, D.; Santoveña, Raúl (Springer, 2022)
    [Abstract] We present an adaptive visualization tool for unsupervised classification of astronomical objects in a Big Data context such as the one found in the increasingly popular large spectrophotometric sky surveys. ...
  • Gaia Early Data Release 3: The Gaia Catalogue of Nearby Stars 

    Manteiga, Minia; Álvarez, M. A.; Dafonte, Carlos; Garabato, D.; Gómez García, Ángel; González Santamaría, I.; Santoveña, Raúl (EDP Sciences, 2021)
    [Abstract] Aims. We produce a clean and well-characterised catalogue of objects within 100 pc of the Sun from the Gaia Early Data Release 3. We characterise the catalogue through comparisons to the full data release, ...
  • Gaia Early Data Release 3: Structure and Properties of the Magellanic Clouds 

    Manteiga, Minia; Álvarez, M. A.; Dafonte, Carlos; Garabato, D.; Gómez García, Ángel; González Santamaría, I.; Santoveña, Raúl (EDP Sciences, 2021)
    [Abstract] Context. This work is part of the Gaia Data Processing and Analysis Consortium papers published with the Gaia Early Data Release 3 (EDR3). It is one of the demonstration papers aiming to highlight the improvements ...

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