Browsing University of Hertfordshire by Author "Gruendl, R. A."

Now showing items 1-3 of 3

    • Brown dwarf census with the Dark Energy Survey year 3 data and the thin disc scale height of early L types 

      Rosell, A. Carnero; Santiago, B.; Ponte, M. dal; Burningham, B.; Costa, L. N. da; Marshall, J. L.; McMahon, R. G.; Bechtol, K.; Paris, L. De; Li, T.; Pieres, A.; Abbott, T. M. C.; Annis, J.; Avila, S.; Bernstein, G. M.; Burke, D. L.; Carrasco-Kind, M.; Carretero, J.; Vicente, J. De; Drlica-Wagner, A.; Fosalba, P.; Frieman, J.; Garcia-Bellido, J.; Gaztanaga, E.; Gruendl, R. A.; Gschwend, J.; Gutierrez, G.; Hollowood, D. L.; Maia, M. A. G.; Menanteau, F.; Miquel, R.; Plazas, A. A.; Roodman, A.; Sanchez, E.; Scarpine, V.; Schindler, R.; Serrano, S.; Sevilla-Noarbe, I.; Sobreira, F.; Suchyta, E.; Swanson, M. E. C.; Tarle, G.; Vikram, V.; Walker, A. R. (2019-09-05)
      In this paper we present a catalogue of 11 745 brown dwarfs with spectral types ranging from L0 to T9, photometrically classified using data from the Dark Energy Survey (DES) year 3 release matched to the Vista Hemisphere ...

    • Transfer learning for galaxy morphology from one survey to another 

      Sánchez, H. Domínguez; Huertas-Company, M.; Bernardi, M.; Kaviraj, S.; Fischer, J. L.; Abbott, T. M. C.; Abdalla, F. B.; Annis, J.; Avila, S.; Buckley-Geer, E.; Rosell, A. Carnero; Kind, M. Carrasco; Carretero, J.; Cunha, C. E.; D'Andrea, C. B.; Costa, L. N. da; Davis, C.; Vicente, J. De; Doel, P.; Evrard, A. E.; Fosalba, P.; Frieman, J.; García-Bellido, J.; Gaztanaga, E.; Gerdes, D. W.; Gruen, D.; Gruendl, R. A.; Gschwend, J.; Gutierrez, G.; Hartley, W. G.; Hollowood, D. L.; Honscheid, K.; Hoyle, B.; Kuehn, K.; Kuropatkin, N.; Lahav, O.; Maia, M. A. G.; March, M.; Melchior, P.; Menanteau, F.; Miquel, R.; Nord, B.; Plazas, A. A.; Sanchez, E.; Scarpine, V.; Schindler, R.; Schubnell, M.; Soares-Santos, M.; Sobreira, F.; Suchyta, E.; Swanson, M. E. C.; Tarle, G.; Walker, A. R.; Zuntz, J. (2018-12-28)
      Deep Learning (DL) algorithms for morphological classification of galaxies have proven very successful, mimicking (or even improving) visual classifications. However, these algorithms rely on large training samples of ...

    • AN ULTRA-FAINT GALAXY CANDIDATE DISCOVERED in EARLY DATA from the MAGELLANIC SATELLITES SURVEY 

      Drlica-Wagner, A.; Bechtol, Keith; Allam, S.; Tucker, D. L.; Gruendl, R. A.; Johnson, M. D.; Walker, A. R.; James, D. J.; Nidever, D. L.; Olsen, K. A G; Wechsler, R. H.; Cioni, M. R L; Conn, B. C.; Kuehn, K.; Li, T. S.; Mao, Y. Y.; Martin, N. F.; Neilsen, E.; Noel, N. E D; Pieres, A.; Simon, J. D.; Stringfellow, G. S.; Marel, R. P Van Der; Yanny, B. (2016-12-10)
      We report a new ultra-faint stellar system found in Dark Energy Camera data from the first observing run of the Magellanic Satellites Survey (MagLiteS). MagLiteS J0644-5953 (Pictor II or Pic II) is a low surface brightness ...