Search Results for author: Anais Moller

Found 3 papers, 2 papers with code

Finding active galactic nuclei through Fink

1 code implementation • 20 Nov 2022 • Etienne Russeil, Emille E. O. Ishida, Roman Le Montagner, Julien Peloton, Anais Moller

We present the Active Galactic Nuclei (AGN) classifier as currently implemented within the Fink broker.

Active Learning Binary Classification +4

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A Convolutional Neural Network Approach to Supernova Time-Series Classification

no code implementations • 19 Jul 2022 • Helen Qu, Masao Sako, Anais Moller, Cyrille Doux

Retrospective classification is used to differentiate cosmologically useful Type Ia SNe from other SN types, and this method achieves >99% accuracy on this task.

Classification Time Series +2

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Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients

1 code implementation • 12 Oct 2020 • Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander Ihler, Kara Ponder, Ricardo Vilalta, Anais Moller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluis Galbany

The Recommendation System for Spectroscopic follow-up (RESSPECT) project aims to enable the construction of optimized training samples for the Rubin Observatory Legacy Survey of Space and Time (LSST), taking into account a realistic description of the astronomical data environment.

Active Learning Astronomy +1

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