Now showing items 1-9 of 9

    • Petrus, S.; Bonnefoy, M.; Chauvin, G.; Babusiaux, C.; Delorme, P.; Lagrange, A. M.; Florent, N.; Bayo, A.; Janson, M.; Biller, B.; Manjavacas, E.; Marleau, G. D.; Kopytova, T. (EDP Sciences, 2020)
      Context. The Upper-Scorpius association (5-11 Myr) contains a unique population of low-mass (M <= 30M(Jup)) brown dwarfs either free-floating, forming wide pairs, or on wide orbits around solar-type and massive stars. The ...
    • Huélamo, N.; De Gregorio Monsalvo, Itziar; Palau, A.; Barrado, D.; Bayo, A.; Ruíz González, María Teresa; Zapata, L.; Bouy, H.; Morata, O.; Morales Calderón, M.; Eiroa, C.; Ménard, F. (EDP Sciences, 2017)
      Context.The origin of brown dwarfs is still under debate. While some models predict a star-like formation scenario, others invokea substellar mass embryo ejection, a stellar disk fragmentation, or the photo-evaporation of ...
    • Olofsson, J.; Samland, M.; Avenhaus, Henning; Cáceres, C.; Henning, Thomas; Moor, A.; Milli, Julien; Cánovas, Héctor; Quanz, Sascha; Schreiber, Matthias; Augereau, J. C.; Bayo, A.; Bazzon, A.; Beuzit, J.L.; Boccaletti, Anthony; Buenzli, E.; Casassus Montero, Simón; Chauvin, G.; Dominik, C.; Desidera, S.; Feldt, M.; Gratton, R.; Janson, M.; Lagrange, Anne Marie; Langlois, Maud; Lannier, J.; Maire, Anne-Lise; Mesa, D.; Pinte, Christophe; Rouan, D.; Salter, G.; Thalmann, Christian; Vigan, A. (EDP Sciences, 2016)
      Context. Debris disks off er valuable insights into the latest stages of circumstellar disk evolution, and can possibly help us to trace the outcomes of planetary formation processes. In the age range 10 to 100 Myr, most ...
    • Barrado, D.; De Gregorio Monsalvo, Itziar; Huelamo, N.; Morales Calderón, M.; Bayo, A.; Palau, A.; Ruiz, M.; Riviere Marichalar, P.; Bouy, H.; Morata, O.; Stauffer, J. R.; Eiroa, C.; Noriega Crespo, A. (EDP Sciences S A, 2018)
      Aims. The early evolutionary stage of brown dwarfs (BDs) is not very well characterized, especially during the embedded phase. Our goal is to gain insight into the dominant formation mechanism of very low-mass objects and ...
    • Bouvier, J.; Alecian, E.; Alencar, S. H. P.; Sousa, A.; Donati, J. F.; Perraut, K.; Bayo, A.; Rebull, L. M.; Dougados, C.; Duvert, G.; Berger, J. P.; Benisty, M.; Pouilly, K.; Folsom, C.; Moutou, C. (EDP, 2020)
      Context. Young stars interact with their accretion disk through their strong magnetosphere.Aims. We aim to investigate the magnetospheric accretion/ejection process in the young stellar system DoAr 44 (V2062 Oph).Methods. ...
    • Beamín, J. C.; Minniti, D.; Pullen, J. B.; Ivanov, V. D.; Bendek, E.; Bayo, A.; Gromadzki, M.; Kurtev, R.; Lucas, P. W.; Butler, R. P. (Oxford university press, 2017)
      The VVV survey has observed the southern disc of the Milky Way in the near-infrared, covering 240 deg(2) in the ZYJHKs filters. We search the VVV survey images in a similar to 19 deg(2) field around alpha Centauri, the ...
    • Wright, Nicholas J.; Jeffries, R. D.; Jackson, R. J.; Bayo, A.; Bonito, R.; Damiani, F.; Kalari, V.; Lanzafame, A. C.; Pancino, E.; Parker, R. J.; Prisinzano, L.; Randich, S.; Vink, J. S.; Alfaro, E. J.; Bergemann, M.; Franciosini, E.; Gilmore, G.; Gonneau, A.; Hourihane, (Oxford University Press, 2019)
      The combination of precise radial velocities from multi-object spectroscopy and highly accurate proper motions from Gaia DR2 opens up the possibility for detailed 3D kinematic studies of young star-forming regions and ...
    • Damiani, F.; Bonito, R.; Prisinzano, L.; Zwitter, T.; Bayo, A.; Kalari, V.; Jiménez Esteban, F. M.; Costado, M. T.; Jofre, P.; Randich, S.; Flaccomio, E.; Lanzafame, A. C.; Lardo, C.; Morbidelli, L.; Zaggia, S. (EDP Sciences, 2017)
      Aims. We present a spectroscopic study of the dynamics of the ionized and neutral gas throughout the Lagoon nebula (M 8), using VLT-FLAMES data from the Gaia-ESO Survey. The new data permit exploration of the physical ...
    • Araya, M.; Mendoza, M.; Solar, M.; Mardones, D.; Bayo, A. (Elsevier B.V., 2018)
      © 2018 Elsevier B.V. We consider the problem of analyzing the structure of spectroscopic cubes using unsupervised machine learning techniques. We propose representing the target's signal as a homogeneous set of volumes ...