Published in
Oxford University Press (OUP), Monthly Notices of the Royal Astronomical Society, 3(478), p. 4225-4237
Links
- ORCID
- ORCID
- Oxford University Press (OUP)
- [elib.dlr.de]
- [arxiv.org] | PDF
- [pure.qub.ac.uk] | PDF
- [pure.qub.ac.uk] | PDF
Tools
Automatic vetting of planet candidates from ground based surveys: Machine learning with NGTS
Journal article published in 2018 by
David J. Armstrong 
,
Peter J. Wheatly,
Maximilian N. Gunther,
James McCormac,
Alexis M. S. Smith,
Daniel Bayliss ,
François Bouchy,
Matthew R. Burleigh ,
Sarah Casewell,
Philipp Eigmüller,
Edward Gillen,
Michael R. Goad,
Simon T. Hodkin,
Simon T. Hodgkin,
James S. Jenkins
and other authors.
,
Peter J. Wheatly,
Maximilian N. Gunther,
James McCormac,
Alexis M. S. Smith,
Daniel Bayliss ,
François Bouchy,
Matthew R. Burleigh ,
Sarah Casewell,
Philipp Eigmüller,
Edward Gillen,
Michael R. Goad,
Simon T. Hodkin,
Simon T. Hodgkin,
James S. Jenkins
and other authors.
This paper is available in a repository.
Full text: Download
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