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Exploring the spectroscopic diversity of Type Ia supernovae with dracula: A machine learning approach

Sasdelli, M. and Ishida, E. E. O. and Vilalta, R. and Aguena, M. and Busti, V. C. and De Souza, Rafael da Silva (2016) Exploring the spectroscopic diversity of Type Ia supernovae with dracula: A machine learning approach. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 461 (2). pp. 2044-2059. ISSN 0035-8711

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Item Type: Article
Uncontrolled Keywords: methods: data analysis; methods: statistical; supernovae: general; Methods: miscellaneous;
Subjects: Q Science / természettudomány > QB Astronomy, Astrophysics / csillagászat, asztrofizika
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 02 Aug 2023 14:00
Last Modified: 03 Aug 2023 06:01
URI: http://real.mtak.hu/id/eprint/170899

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