Transient-optimized real-bogus classification with Bayesian convolutional neural networks: Sifting the GOTO candidate stream
T. L. Killestein*
, J. Lyman
, D. Steeghs
, K. Ackley
, M. J. Dyer
, K. Ulaczyk
, R. Cutter
, Y. L. Mong
, D. K. Galloway
, V. Dhillon
, P. O'Brien
, G. Ramsay
, S. Poshyachinda
, R. Kotak
, R. P. Breton
, L. K. Nuttall
, E. Pallé
, D. Pollacco
, E. Thrane
, S. Aukkaravittayapun
S. Awiphan, U. Burhanudin, P. Chote, A. Chrimes, E. Daw, C. Duffy, R. Eyles-Ferris, B. Gompertz, T. Heikkilä, P. Irawati, M. R. Kennedy, A. Levan, S. Littlefair, L. Makrygianni, D. Mata Sánchez, S. Mattila, J. Maund, J. McCormac, D. Mkrtichian, J. Mullaney, E. Rol, U. Sawangwit, E. Stanway, R. Starling, P. A. Strøm, S. Tooke, K. Wiersema, S. C. Williams
Research output: Contribution to journal › Article › peer-review
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