Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering

Emille E.~O. Ishida; Michele Sasdelli; Ricardo Vilalta; Michel Aguena; Vinicius C. Busti; Hugo Camacho; Arlindo M.~M. Trindade; Fabian Gieseke; Rafael S. de Souza; Yabebal T. Fantaye; Paolo A. Mazzali

doi:10.1017/S174392131601293X

Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering

Emille E.~O. Ishida, Michele Sasdelli, Ricardo Vilalta, Michel Aguena, Vinicius C. Busti, Hugo Camacho, Arlindo M.~M. Trindade, Fabian Gieseke, Rafael S. de Souza, Yabebal T. Fantaye, Paolo A. Mazzali

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Astroinformatics
Editors	Massimo Brescia, S.~G. Djorgovski, Eric D. Feigelson, Giuseppe Longo, Stefano Cavuoti
Pages	247-252
Number of pages	6
Volume	325
DOIs	https://doi.org/10.1017/S174392131601293X
Publication status	Published - 1 Jun 2017

Keywords

supernovae: general
methods: machine learning
data analysis
statistical

Access to Document

10.1017/S174392131601293X

Cite this

Ishida, E. E. O., Sasdelli, M., 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. (2017). Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering. In M. Brescia, S. G. Djorgovski, E. D. Feigelson, G. Longo, & S. Cavuoti (Eds.), Astroinformatics (Vol. 325, pp. 247-252) https://doi.org/10.1017/S174392131601293X

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title = "Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering",

keywords = "supernovae: general, methods: machine learning, data analysis, statistical",

author = "Ishida, {Emille E.~O.} and Michele Sasdelli and Ricardo Vilalta and Michel Aguena and Busti, {Vinicius C.} and Hugo Camacho and Trindade, {Arlindo M.~M.} and Fabian Gieseke and {de Souza}, {Rafael S.} and Fantaye, {Yabebal T.} and Mazzali, {Paolo A.}",

year = "2017",

month = jun,

day = "1",

doi = "10.1017/S174392131601293X",

language = "English",

volume = "325",

pages = "247--252",

editor = "Massimo Brescia and S.~G. Djorgovski and Feigelson, {Eric D.} and Giuseppe Longo and Stefano Cavuoti",

booktitle = "Astroinformatics",

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Ishida, EEO, Sasdelli, M, Vilalta, R, Aguena, M, Busti, VC, Camacho, H, Trindade, AMM, Gieseke, F, de Souza, RS, Fantaye, YT & Mazzali, PA 2017, Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering. in M Brescia, SG Djorgovski, ED Feigelson, G Longo & S Cavuoti (eds), Astroinformatics. vol. 325, pp. 247-252. https://doi.org/10.1017/S174392131601293X

Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering. / Ishida, Emille E.~O.; Sasdelli, Michele; Vilalta, Ricardo et al.
Astroinformatics. ed. / Massimo Brescia; S.~G. Djorgovski; Eric D. Feigelson; Giuseppe Longo; Stefano Cavuoti. Vol. 325 2017. p. 247-252.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering

AU - Ishida, Emille E.~O.

AU - Sasdelli, Michele

AU - Vilalta, Ricardo

AU - Aguena, Michel

AU - Busti, Vinicius C.

AU - Camacho, Hugo

AU - Trindade, Arlindo M.~M.

AU - Gieseke, Fabian

AU - de Souza, Rafael S.

AU - Fantaye, Yabebal T.

AU - Mazzali, Paolo A.

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KW - methods: machine learning

KW - data analysis

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DO - 10.1017/S174392131601293X

M3 - Conference contribution

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SP - 247

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BT - Astroinformatics

A2 - Brescia, Massimo

A2 - Djorgovski, S.~G.

A2 - Feigelson, Eric D.

A2 - Longo, Giuseppe

A2 - Cavuoti, Stefano

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