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Machine-learning approaches to exoplanet transit detection and candidate validation in wide-field ground-based surveys
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(2019) Machine-learning approaches to exoplanet transit detection and candidate validation in wide-field ground-based surveys. Monthly Notices of the Royal Astronomical Society, 483 (4). pp. 5534-5547. doi:10.1093/mnras/sty3146 Research output not available from this repository, contact author.
Official URL: http://dx.doi.org/10.1093/mnras/sty3146
| Item Type: | Journal Article | ||||||
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| Divisions: | Faculty of Science > Physics | ||||||
| Journal or Publication Title: | Monthly Notices of the Royal Astronomical Society | ||||||
| Publisher: | Wiley | ||||||
| ISSN: | 0035-8711 | ||||||
| Official Date: | March 2019 | ||||||
| Dates: |
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| Volume: | 483 | ||||||
| Number: | 4 | ||||||
| Page Range: | pp. 5534-5547 | ||||||
| DOI: | 10.1093/mnras/sty3146 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access |
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