Two selection statistics are used to extract new candidate periodic variables from the epoch photometry of the Hipparcos catalogue. The primary selection criterion is a signal-to-noise ratio. The dependence of this statistic on the number of observations is calibrated using about 30000 randomly permuted Hipparcos data sets. A significance level of 0.1 per cent is used to extract a first batch of candidate variables. The second criterion requires that the optimal frequency be unaffected if the data are de-trended by low-order polynomials. We find 2675 new candidate periodic variables, of which the majority (2082) are from the Hipparcos`unsolved' variables. Potential problems with the interpretation of the data (e.g. aliasing) are discussed.
Monthly Notices of the Royal Astronomical Society
- Pub Date:
- March 2002
- methods: data analysis;
- methods: statistical;
- stars: variables: other;
- 18 pages, 9 figures, accepted for publication in MNRAS