The VVV Templates Project Towards an automated classification of VVV light-curves: I. Building a database of stellar variability in the near-infrared

  1. Angeloni, R.
  2. Contreras Ramos, R.
  3. Catelan, M.
  4. Dékány, I.
  5. Gran, F.
  6. Alonso-García, J.
  7. Hempel, M.
  8. Navarrete, C.
  9. Andrews, H.
  10. Aparicio, A.
  11. Beamín, J.C.
  12. Berger, C.
  13. Borissova, J.
  14. Contreras Peña, C.
  15. Cunial, A.
  16. De Grijs, R.
  17. Espinoza, N.
  18. Eyheramendy, S.
  19. Ferreira Lopes, C.E.
  20. Fiaschi, M.
  21. Hajdu, G.
  22. Han, J.
  23. Hełminiak, K.G.
  24. Hempel, A.
  25. Hidalgo, S.L.
  26. Ita, Y.
  27. Jeon, Y.-B.
  28. Jordán, A.
  29. Kwon, J.
  30. Lee, J.T.
  31. Martín, E.L.
  32. Masetti, N.
  33. Matsunaga, N.
  34. Milone, A.P.
  35. Minniti, D.
  36. Morelli, L.
  37. Murgas, F.
  38. Nagayama, T.
  39. Navarro, C.
  40. Ochner, P.
  41. Pérez, P.
  42. Pichara, K.
  43. Rojas-Arriagada, A.
  44. Roquette, J.
  45. Saito, R.K.
  46. Siviero, A.
  47. Sohn, J.
  48. Sung, H.-I.
  49. Tamura, M.
  50. Tata, R.
  51. Tomasella, L.
  52. Townsend, B.
  53. Whitelock, P.
  54. +
Journal:
Astronomy and Astrophysics

ISSN: 1432-0746,  0004-6361

Year of publication: 2014

Volume: 567

Type: Article

DOI: 10.1051/0004-6361/201423904 GOOGLE SCHOLAR lock_openOpen access editor
Data source: Scopus