Machine-learning approaches to exoplanet transit detection and candidate validation in wide-field ground-based surveys
Since the start of the Wide-angle Search for Planets (WASP) program, more than 160 transiting exoplanets have been discovered in the WASP data. In the past, possible transit-like events identified by the WASP pipeline have been vetted by human inspection to eliminate false alarms and obvious false positives. The goal of this paper is to assess the
Schanche, N. et al.
Fecha de publicación:
3
2019