On the estimation of stellar parameters with uncertainty prediction from Generative Artificial Neural Networks: application to Gaia RVS simulated spectra

no code implementations • 19 Jul 2016 • C. Dafonte, D. Fustes, M. Manteiga, D. Garabato, M. A. Alvarez, A. Ulla, C. Allende Prieto

The architecture of the GANN follows the same scheme as a normal ANN, but with the inputs and outputs inverted.

An approach to the analysis of SDSS spectroscopic outliers based on Self-Organizing Maps

no code implementations • 10 Sep 2013 • D. Fustes, M. Manteiga, C. Dafonte, B. Arcay, A. Ulla, K. Smith, R. Borrachero, R. Sordo

Additionally, the application of our algorithm to SDSS objects of unknown nature has allowed us to identify classes of objects of similar astrophysical nature.

Instrumentation and Methods for Astrophysics