The VVV Templates Project Towards an automated classification of VVV light-curves: I. Building a database of stellar variability in the near-infrared
R. Angeloni, R. Contreras Ramos, M. Catelan, I. Dékány, F. Gran, J. Alonso-García, M. Hempel, C. Navarrete, H. Andrews, A. Aparicio, J. C. Beamín, C. Berger, J. Borissova, C. Contreras Peña, A. Cunial, R. De Grijs, N. Espinoza, S. Eyheramendy, C. E. Ferreira Lopes, M. FiaschiG. Hajdu, J. Han, K. G. Hełminiak, A. Hempel, S. L. Hidalgo, Y. Ita, Y. B. Jeon, A. Jordán, J. Kwon, J. T. Lee, E. L. Martín, N. Masetti, N. Matsunaga, A. P. Milone, D. Minniti, L. Morelli, F. Murgas, T. Nagayama, C. Navarro, P. Ochner, P. Pérez, K. Pichara, A. Rojas-Arriagada, J. Roquette, R. K. Saito, A. Siviero, J. Sohn, H. I. Sung, M. Tamura, R. Tata, L. Tomasella, B. Townsend, P. Whitelock
Research output: Contribution to journal › Article › peer-review
29Scopus
citations
Fingerprint
Dive into the research topics of 'The VVV Templates Project Towards an automated classification of VVV light-curves: I. Building a database of stellar variability in the near-infrared'. Together they form a unique fingerprint.