Exploring the spectroscopic diversity of Type Ia supernovae with DRACULA: a machine learning approach

M. Sasdelli, E.~E.~O. Ishida, R. Vilalta, M. Aguena, V.~C. Busti, H. Camacho, A.~M.~M. Trindade, F. Gieseke, R.~S. de Souza, Y.~T. Fantaye, P.~A. Mazzali

Research output: Contribution to journalArticlepeer-review

Original languageUndefined/Unknown
Pages (from-to)2044-2059
Number of pages16
JournalMonthly Notices of the Royal Astronomical Society
Issue number2
Publication statusPublished - 1 Sept 2016


  • methods: data analysis
  • methods: miscellaneous
  • methods: statistical
  • supernovae: general
  • Astrophysics - Solar and Stellar Astrophysics
  • Astrophysics - High Energy Astrophysical Phenomena
  • Astrophysics - Instrumentation and Methods for Astrophysics

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