• Gaia Data Release 1: Summary of the astrometric, photometric, and survey properties 

      Brown, A. G. A.; Vallenari, A.; Prusti, T.; Bruijne, J. H.J. de; Manteiga, M.; Álvarez, M. A.; Arcay, B.; Dafonte, C.; Garabato, D.; Fustes, D. (EDP Sciences, 2016-11)
      [Abstract]: Context. At about 1000 days after the launch of Gaia we present the first Gaia data release, Gaia DR1, consisting of astrometry and photometry for over 1 billion sources brighter than magnitude 20.7. Aims. A ...
    • On the estimation of stellar parameters with uncertainty prediction from Generative Artificial Neural Networks: application to Gaia RVS simulated spectra 

      Dafonte, C.; Fustes, D.; Manteiga, M.; Garabato, D.; Álvarez, M. A.; Ulla, A.; Allende-Prieto, Carlos (EDP Sciences, 2016-10)
      [Abstract]: Aims. We present an innovative artificial neural network (ANN) architecture, called Generative ANN (GANN), that computes the forward model, that is it learns the function that relates the unknown outputs (stellar ...
    • The Gaia mission 

      Prusti, T.; Manteiga, M.; Álvarez, M. A.; Arcay, B.; Dafonte, C.; Garabato, D.; Fustes, D.; Liu, C.; Bruijne, J. H. J. de; Brown, A. G. A. (EDP Sciences, 2016-11)
      [Abstract]: Gaia is a cornerstone mission in the science programme of the EuropeanSpace Agency (ESA). The spacecraft construction was approved in 2006, following a study in which the original interferometric concept was ...