Searching for transits in data with long time baselines and poor sampling
Aims: The standard method of searching parameter space for transits is ill-suited to data sets with long time baselines and poor temporal coverage, such as that anticipated from Gaia. In this paper, we present an alternative method for identifying transit candidates is such data, one focusing on finding periodicity in high S/N outliers. Methods: We
Tingley, B.
Fecha de publicación:
5
2011