Fink: early supernovae Ia classification using active learning

AstronomicAL: an interactive dashboard for visualisation, integration and classification of data with Active Learning

Stevens, Grant
Fotopoulou, Sotiria
Bremer, Malcolm N.
Ray, Oliver

September 2021

AstronomicAL is a human-in-the-loop interactive labelling and training dashboard that allows users t...

Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning

Ishida, E.E.O.
Beck, R.
Gonzalez-Gaitan, S.
de Souza, R.S.
Krone-Martins, A.
Barrett, J.W.
Kennamer, N.
Vilalta, R.
Burgess, J.M.
Quint, B.
Vitorelli, A.Z.
Mahabal, A.
Gangler, E.

January 2019

International audienceWe report a framework for spectroscopic follow-up design for optimizing supern...

Photometric classification of type Ia supernovae in the SuperNova Legacy Survey with supervised learning

Möller, A.
Ruhlmann-Kleider, V.
Leloup, C.
Neveu, J.
Palanque-Delabrouille, N.
Rich, J.
Carlberg, R.
Lidman, C.
Pritchet, C.

January 2016

International audienceIn the era of large astronomical surveys, photometric classification of supern...

Fink: Early supernovae Ia classification using active learning

M. Leoni
E. E. O. Ishida
J. Peloton
A. Möller

July 2022

Context. The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will produce a continu...

Fink: early supernovae Ia classification using active learning

Leoni, Marco
Ishida, Emille E. O.
Peloton, Julien
Möller, Anais

April 2022

We describe how the Fink broker early supernova Ia classifier optimizes its ML classifications by em...

Finding active galactic nuclei through Fink

Russeil, Etienne
Ishida, Emille E.O.
Le Montagner, Roman
Peloton, Julien
Moller, Anais

November 2022

International audienceWe present the Active Galactic Nuclei (AGN) classifier as currently implemente...

A New Approach To Domain Adaptation Applied To Supernova Photometric Classification

Pampana, Renuka 1990-

September 2016

Supernova Type Ia plays a vital role in the measurement of the cosmological parameters. It is used a...

Fink: incorporating expert knowledge in machine learning applications for large scale sky surveys

Ishida, Emille E. O.
Peloton, Julien
Moller, Anais

May 2022

Next generation experiments such as the Vera Rubin Observatory Legacy Survey of Space and Time (LSST...

Supernova search with active learning in ZTF DR3

Pruzhinskaya, Maria V.
Ishida, Emille E.O.
Novinskaya, Alexandra K.
Russeil, Etienne
Volnova, Alina A.
Malanchev, Konstantin L.
Kornilov, Matwey V.
Aleo, Patrick D.
Korolev, Vladimir S.
Krushinsky, Vadim V.
Sreejith, Sreevarsha
Gangler, Emmanuel

January 2023

International audienceIn order to explore the potential of adaptive learning techniques to big data ...

Active Learning with RESSPECT: Data Set

da Silva de Souza, Rafael
Kennamer, Noble
de Oliveira Ishida, Emille Eugenia

October 2020

This folder contains pre-processed simulated data first made available by Rick Kessler for the Supe...

AstronomicAL: an interactive dashboard for visualisation, integration and classification of data with Active Learning

Stevens, Grant
Fotopoulou, Sotiria
Bremer, Malcolm N.
Ray, Oliver

September 2021

AstronomicAL is a human-in-the-loop interactive labelling and training dashboard that allows users t...

Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning

Ishida, E.E.O.
Beck, R.
Gonzalez-Gaitan, S.
de Souza, R.S.
Krone-Martins, A.
Barrett, J.W.
Kennamer, N.
Vilalta, R.
Burgess, J.M.
Quint, B.
Vitorelli, A.Z.
Mahabal, A.
Gangler, E.

January 2019

International audienceWe report a framework for spectroscopic follow-up design for optimizing supern...

Photometric classification of type Ia supernovae in the SuperNova Legacy Survey with supervised learning

Möller, A.
Ruhlmann-Kleider, V.
Leloup, C.
Neveu, J.
Palanque-Delabrouille, N.
Rich, J.
Carlberg, R.
Lidman, C.
Pritchet, C.

January 2016

International audienceIn the era of large astronomical surveys, photometric classification of supern...

Fink: Early supernovae Ia classification using active learning

M. Leoni
E. E. O. Ishida
J. Peloton
A. Möller

July 2022

Context. The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will produce a continu...

Fink: early supernovae Ia classification using active learning

Leoni, Marco
Ishida, Emille E. O.
Peloton, Julien
Möller, Anais

April 2022

We describe how the Fink broker early supernova Ia classifier optimizes its ML classifications by em...

Finding active galactic nuclei through Fink

Russeil, Etienne
Ishida, Emille E.O.
Le Montagner, Roman
Peloton, Julien
Moller, Anais

November 2022

International audienceWe present the Active Galactic Nuclei (AGN) classifier as currently implemente...

A New Approach To Domain Adaptation Applied To Supernova Photometric Classification

Pampana, Renuka 1990-

September 2016

Supernova Type Ia plays a vital role in the measurement of the cosmological parameters. It is used a...

Fink: incorporating expert knowledge in machine learning applications for large scale sky surveys

Ishida, Emille E. O.
Peloton, Julien
Moller, Anais

May 2022

Next generation experiments such as the Vera Rubin Observatory Legacy Survey of Space and Time (LSST...

Supernova search with active learning in ZTF DR3

Pruzhinskaya, Maria V.
Ishida, Emille E.O.
Novinskaya, Alexandra K.
Russeil, Etienne
Volnova, Alina A.
Malanchev, Konstantin L.
Kornilov, Matwey V.
Aleo, Patrick D.
Korolev, Vladimir S.
Krushinsky, Vadim V.
Sreejith, Sreevarsha
Gangler, Emmanuel

January 2023

International audienceIn order to explore the potential of adaptive learning techniques to big data ...

Active Learning with RESSPECT: Data Set

da Silva de Souza, Rafael
Kennamer, Noble
de Oliveira Ishida, Emille Eugenia

October 2020

This folder contains pre-processed simulated data first made available by Rick Kessler for the Supe...

AstronomicAL: an interactive dashboard for visualisation, integration and classification of data with Active Learning

Stevens, Grant
Fotopoulou, Sotiria
Bremer, Malcolm N.
Ray, Oliver

September 2021

AstronomicAL is a human-in-the-loop interactive labelling and training dashboard that allows users t...

Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning

Ishida, E.E.O.
Beck, R.
Gonzalez-Gaitan, S.
de Souza, R.S.
Krone-Martins, A.
Barrett, J.W.
Kennamer, N.
Vilalta, R.
Burgess, J.M.
Quint, B.
Vitorelli, A.Z.
Mahabal, A.
Gangler, E.

January 2019

International audienceWe report a framework for spectroscopic follow-up design for optimizing supern...

Photometric classification of type Ia supernovae in the SuperNova Legacy Survey with supervised learning

Möller, A.
Ruhlmann-Kleider, V.
Leloup, C.
Neveu, J.
Palanque-Delabrouille, N.
Rich, J.
Carlberg, R.
Lidman, C.
Pritchet, C.

January 2016

International audienceIn the era of large astronomical surveys, photometric classification of supern...

Fink: early supernovae Ia classification using active learning

Abstract

Extracted data

Fink: early supernovae Ia classification using active learning

Abstract

Extracted data

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