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Article Dans Une Revue Astronomy and Astrophysics - A&A Année : 2023

Supernova search with active learning in ZTF DR3

Maria V. Pruzhinskaya
  • Fonction : Auteur
Alexandra K. Novinskaya
  • Fonction : Auteur
Alina A. Volnova
  • Fonction : Auteur
Konstantin L. Malanchev
  • Fonction : Auteur
Matwey V. Kornilov
  • Fonction : Auteur
Patrick D. Aleo
  • Fonction : Auteur
Vladimir S. Korolev
  • Fonction : Auteur
Vadim V. Krushinsky
  • Fonction : Auteur
Sreevarsha Sreejith
  • Fonction : Auteur

Résumé

In order to explore the potential of adaptive learning techniques to big data sets, the SNAD team used Active Anomaly Discovery (AAD) as a tool to search for new supernova (SN) candidates in the photometric data from the first 9.4 months of the Zwicky Transient Facility survey - between 2018 March 17 and December 31 (58194 < MJD < 58483). We analysed 70 ZTF fields with high galactic latitude and visually inspected 2100 outliers. This resulted in 104 supernova-like objects found, 57 of them were reported to the Transient Name Server for the first time and 47 were previously mentioned in other catalogues either as supernovae with known types or as supernova candidates. We visually inspected the multi-colour light curves of the non-catalogued transients and performed their fit with different supernova models to assign it to a proper class: Ia, Ib/c, IIP, IIL, IIn. Moreover, we also identified unreported slow-evolving transients which are good superluminous SN candidates, and a few others non-catalogued objects, such as red dwarf flares and active galactic nuclei. Beyond confirming the effectiveness of human-machine integration underlying the AAD strategy, our results shed light on potential leaks in currently available pipelines and can help avoid similar losses in future large scale astronomical surveys. The algorithm enables directed search of any type of data and definition of anomaly chosen by the expert.

Dates et versions

hal-03771898 , version 1 (07-09-2022)

Identifiants

Citer

Maria V. Pruzhinskaya, Emille E.O. Ishida, Alexandra K. Novinskaya, Etienne Russeil, Alina A. Volnova, et al.. Supernova search with active learning in ZTF DR3. Astronomy and Astrophysics - A&A, 2023, 672, pp.A111. ⟨10.1051/0004-6361/202245172⟩. ⟨hal-03771898⟩
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