no code implementations • 27 Apr 2020 • G. Guiglion, G. Matijevic, A. B. A. Queiroz, M. Valentini, M. Steinmetz, C. Chiappini, E. K. Grebel, P. J. McMillan, G. Kordopatis, A. Kunder, T. Zwitter, A. Khalatyan, F. Anders, H. Enke, I. Minchev, G. Monari, R. F. G. Wyse, O. Bienayme, J. Bland-Hawthorn, B. K. Gibson, J. F. Navarro, Q. Parker, W. Reid, G. M. Seabroke, A. Siebert
We trained a CNN, adopting stellar atmospheric parameters and chemical abundances from APOGEE DR16 (resolution R~22500) data as training set labels.
Astrophysics of Galaxies Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics
1 code implementation • 25 Apr 2019 • F. Anders, A. Khalatyan, C. Chiappini, A. B. Queiroz, B. X. Santiago, C. Jordi, L. Girardi, A. G. A. Brown, G. Matijevič, G. Monari, T. Cantat-Gaudin, M. Weiler, S. Khan, A. Miglio, I. Carrillo, M. Romero-Gómez, I. Minchev, R. S. de Jong, T. Antoja, P. Ramos, M. Steinmetz, H. Enke
Combining the precise parallaxes and optical photometry delivered by Gaia's second data release (Gaia DR2) with the photometric catalogues of PanSTARRS-1, 2MASS, and AllWISE, we derive Bayesian stellar parameters, distances, and extinctions for 265 million stars brighter than G=18.
Astrophysics of Galaxies Solar and Stellar Astrophysics 85A15
