Automatic vetting of planet candidates from ground based surveys: Machine learning with NGTS (2018)
Attributed to:
Warwick Astronomy and Astrophysics Consolidated Grant 2017-2020
funded by
STFC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.1805.07089
Publication URI: https://arxiv.org/abs/1805.07089
Type: Other