Exploring the Spectroscopic Diversity of Type Ia Supernovae with Dracula: a Machine Learning Approach

AuthID
P-00K-RYY
11
Author(s)
Sasdelli, M
·
Ishida, EEO
·
Vilalta, R
·
Aguena, M
·
Camacho, H
·
Gieseke, F
·
de Souza, RS
·
Fantaye, YT
·
1
Group Author(s)
COIN Collaboration
Document Type
Article
Year published
2016
Published
in MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, ISSN: 0035-8711
Volume: 461, Issue: 2, Pages: 2044-2059 (16)
Indexing
Publication Identifiers
SCOPUS: 2-s2.0-84982263758
Wos: WOS:000383273600067
Source Identifiers
ISSN: 0035-8711
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