Now showing items 1-3 of 3

    • Carrasco Davis, Rodrigo Antonio; Reyes, E.; Valenzuela, C.; Foerster, F.; Estévez Valencia, Pablo Antonio; Pignata, G.; Bauer, F. E.; Reyes, I.; Sánchez Sáez, P.; Cabrera Vives, G.; Eyheramendy, S.; Catelan, M.; Arredondo, J.; Castillo Navarrete, E.; Rodríguez Mancini, D.; Ruz Mieres, Daniela Valentina; Moya, A.; Sabatini Gacitúa, Luis Alfredo; Sepúlveda Cobo, Cristóbal Mario; Mahabal, A. A.; Silva Farfán, Javier Ignacio; Camacho Iñiguez, E.; Galbany, L. (IOP, 2021)
      We present a real-time stamp classifier of astronomical events for the Automatic Learning for the Rapid Classification of Events broker, ALeRCE. The classifier is based on a convolutional neural network, trained on alerts ...
    • Moni Bidin, Christian; Catelan, M.; Altmann, Martin (EDP SCIENCES S A, 2008-03)
      Context. The recently-discovered lack of close binaries, among extreme horizontal branch (EHB) stars in Galactic globular clusters, has thus far constituted a major puzzle, in view of the fact that blue subdwarf stars – ...
    • Minniti, D.; Lucas, P. W.; Emerson, J. P.; Saito, R. K.; Hempel Leyton, Marie Claire; Pietrukowicz, P.; Ahumada, A. V.; Alonso, M. V.; Alonso-García, J.; Arias, José I.; Bandyopadhyay, R. M.; Barbá, R. H.; Barbuy, B.; Bedin, Luigi R.; Bica, E.; Borissova, J.; Bronfman Aguiló, Leonardo; Carraro, Giovanni; Catelan, M.; Clariá, J. J.; Cross, N.; Grijs, R. de; Dékány, I.; Drew, J. E.; Fariña, C.; Feinstein, C.; Fernández Lajús, E.; Gamen, R. C.; Geisle, D.; Gieren, W.; Goldman, B.; Gonzalez, O. A.; Gunthardt, G.; Gurovich, S.; Hambly, N. C.; Irwin, M. J.; Ivanov, V. D.; Jordán, A.; Kerins, E.; Kinemuchi, K.; Kurtev, R.; López Corredoira, M.; Maccarone, Thomas J.; Masetti, N.; Merlo, D.; Messineo, M.; Mirabel, I. F.; Monaco, L.; Morelli, L.; Padilla, N.; Palma, T.; Parisi, M. C.; Pignata Libralato, Giuliano; Rejkuba, M.; Roman-Lopes, A.; Sale, S. E.; Schreiber, M. R.; Schröder, A. C.; Smith, M.; Sodré Jr., L.; Soto, M.; Tamura, M.; Tappert, C.; Thompson, M. A.; Toledo, I.; Zoccali, M. (2009-12-11)
      We describe the public ESO near-IR variability survey (VVV) scanning the Milky Way bulge and an adjacent section of the mid-plane where star formation activity is high. The survey will take 1929 hours of observations with ...