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

doi:10.1093/mnras/stw1228

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 journal › Article › peer-review

Original language	Undefined/Unknown
Pages (from-to)	2044-2059
Number of pages	16
Journal	Monthly Notices of the Royal Astronomical Society
Volume	461
Issue number	2
DOIs	https://doi.org/10.1093/mnras/stw1228
Publication status	Published - 1 Sept 2016

Keywords

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

Access to Document

10.1093/mnras/stw1228

Cite this

Sasdelli, M., Ishida, E. E. O., Vilalta, R., Aguena, M., Busti, V. C., Camacho, H., Trindade, A. M. M., Gieseke, F., de Souza, R. S., Fantaye, Y. T., & Mazzali, P. A. (2016). Exploring the spectroscopic diversity of Type Ia supernovae with DRACULA: a machine learning approach. Monthly Notices of the Royal Astronomical Society, 461(2), 2044-2059. https://doi.org/10.1093/mnras/stw1228

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

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doi = "10.1093/mnras/stw1228",

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Sasdelli, M, Ishida, EEO, Vilalta, R, Aguena, M, Busti, VC, Camacho, H, Trindade, AMM, Gieseke, F, de Souza, RS, Fantaye, YT & Mazzali, PA 2016, 'Exploring the spectroscopic diversity of Type Ia supernovae with DRACULA: a machine learning approach', Monthly Notices of the Royal Astronomical Society, vol. 461, no. 2, pp. 2044-2059. https://doi.org/10.1093/mnras/stw1228

TY - JOUR

T1 - Exploring the spectroscopic diversity of Type Ia supernovae with DRACULA: a machine learning approach

AU - Sasdelli, M.

AU - Ishida, E.~E.~O.

AU - Vilalta, R.

AU - Aguena, M.

AU - Busti, V.~C.

AU - Camacho, H.

AU - Trindade, A.~M.~M.

AU - Gieseke, F.

AU - de Souza, R.~S.

AU - Fantaye, Y.~T.

AU - Mazzali, P.~A.

PY - 2016/9/1

Y1 - 2016/9/1

KW - methods: data analysis

KW - methods: miscellaneous

KW - methods: statistical

KW - supernovae: general

KW - Astrophysics - Solar and Stellar Astrophysics

KW - Astrophysics - High Energy Astrophysical Phenomena

KW - Astrophysics - Instrumentation and Methods for Astrophysics

U2 - 10.1093/mnras/stw1228

DO - 10.1093/mnras/stw1228

M3 - Article

SN - 0035-8711

VL - 461

SP - 2044

EP - 2059

JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

IS - 2

ER -