Machine learning for transient recognition in difference imaging with minimum sampling effort

Yik-Lun Mong, Kendall Ackley, Duncan Galloway, Tom Killestein, Joe Lyman, Danny Steeghs, Vik Dhillon, Paul O'Brien, Gavin Ramsay, Saran Poshyachinda, Rubina Kotak, Laura Nuttall, Enric Pall'e, Don Pollacco, Eric Thrane, Martin Dyer, Krzysztof Ulaczyk, Ryan Cutter, James McCormac, Paul ChoteAndrew Levan, Tom Marsh, Elizabeth Stanway, Ben Gompertz, Klaas Wiersema, Ashley Chrimes, Alexander Obradovic, James Mullaney, Ed Daw, Stuart Littlefair, Justyn Maund, Lydia Makrygianni, Umar Burhanudin, Rhaana Starling, Rob Eyles, Spencer Tooke, Christopher Duffy, Suparerk Aukkaravittayapun, Utane Sawangwit, Supachai Awiphan, David Mkrtichian, Puji Irawati, Seppo Mattila, Teppo Heikkil"a, Rene Breton, Mark Kennedy, Daniel Mata-Sanchez, Evert Rol

Institute of Cosmology & Gravitation

Research output: Contribution to journal › Article › peer-review

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Data availability statement for 'Machine learning for transient recognition in difference imaging with minimum sampling effort'.
Nuttall, L. (Creator), Oxford University Press, 1 Dec 2020
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Machine learning for transient recognition in difference imaging with minimum sampling effort

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Data availability statement for 'Machine learning for transient recognition in difference imaging with minimum sampling effort'.