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Automatic vetting of planet candidates from ground-based surveys: machine learning with NGTS (2018)

First Author: Armstrong D

Attributed to: Astronomy Observation and Theory Consolidated Grant 2016-2019 funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/mnras/sty1313

Publication URI: http://dx.doi.org/10.1093/mnras/sty1313

Type: Journal Article/Review

Parent Publication: Monthly Notices of the Royal Astronomical Society

Issue: 3