Exploring the spectroscopic diversity of type Ia supernovae with DRACULA: A machine learning approach
Sasdelli M, Ishida EO, Vilalta R, Aguena M, Busti VC, Camacho H, Trindade AMM, Gieseke F, Souza RS, Fantaye YT, Mazzali PA
Publication type
Research article (journal)
Peer reviewed
Yes
Publication status
Published
Year
2016
Journal
Monthly Notices of the Royal Astronomical Society (MNRAS)
Volume
461
Issue
2
Pages range
2044-2059
Language
English
DOI