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

Cite as

Sasdelli, M., Ishida, E., Vilalta, R., Aguena, M., Busti, V., Camacho, H., Trindade, A., Gieseke, F., Souza, R., Fantaye, Y., & Mazzali, P. (2016). Exploring the spectroscopic diversity of type Ia supernovae with DRACULA: A machine learning approach. Monthly Notices of the Royal Astronomical Society (MNRAS), 461(2), 2044–2059.

Details

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

Start page
2044

End page
2059

Language
English

DOI
https://doi.org/10.1093/mnras/stw1228