Light curve classification with recurrent neural networks for GOTO: dealing with imbalanced data

Burhanudin, U.F., Maund, J.R. orcid.org/0000-0003-0733-7215, Killestein, T. et al. (42 more authors) (2021) Light curve classification with recurrent neural networks for GOTO: dealing with imbalanced data. Monthly Notices of the Royal Astronomical Society, 505 (3). pp. 4345-4361. ISSN 0035-8711

Abstract

Metadata

Item Type: Article
Authors/Creators:

This paper has 45 authors. You can scroll the list below to see them all or them all.

  • Burhanudin, U.F.
  • Maund, J.R. ORCID logo https://orcid.org/0000-0003-0733-7215
  • Killestein, T.
  • Ackley, K.
  • Dyer, M.J.
  • Lyman, J.
  • Ulaczyk, K.
  • Cutter, R.
  • Mong, Y.-L.
  • Steeghs, D.
  • Galloway, D.K.
  • Dhillon, V.
  • O'Brien, P.
  • Ramsay, G.
  • Noysena, K.
  • Kotak, R.
  • Breton, R.P.
  • Nuttall, L.
  • Pallé, E.
  • Pollacco, D.
  • Thrane, E.
  • Awiphan, S.
  • Chote, P.
  • Chrimes, A.
  • Daw, E.
  • Duffy, C.
  • Eyles-Ferris, R.
  • Gompertz, B.
  • Heikkilä, T.
  • Irawati, P.
  • Kennedy, M.R.
  • Levan, A.
  • Littlefair, S.
  • Makrygianni, L.
  • Mata-Sánchez, D.
  • Mattila, S.
  • McCormac, J.
  • Mkrtichian, D.
  • Mullaney, J.
  • Sawangwit, U.
  • Stanway, E.
  • Starling, R.
  • Strøm, P.
  • Tooke, S.
  • Wiersema, K.
Copyright, Publisher and Additional Information:

© 2021 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. This is an author-produced version of a paper subsequently published in Monthly Notices of the Royal Astronomical Society. Uploaded in accordance with the publisher's self-archiving policy.

Keywords: methods: data analysis; techniques: photometric; survey
Dates:
  • Published: August 2021
  • Published (online): 28 May 2021
  • Accepted: 20 May 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > Department of Physics and Astronomy (Sheffield)
Funding Information:
Funder
Grant number
ROYAL SOCIETY
UF150689
SCIENCE AND TECHNOLOGY FACILITIES COUNCIL
ST/R000964/1
ROYAL SOCIETY
RGF\EA\180234
Depositing User: Symplectic Sheffield
Date Deposited: 02 Jun 2021 16:01
Last Modified: 01 Mar 2022 15:10
Status: Published
Publisher: Oxford University Press (OUP)
Refereed: Yes
Identification Number: 10.1093/mnras/stab1545
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Open Archives Initiative ID (OAI ID):

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