Abstract
We discuss some commonly used methods for determining the significance of peaks in the periodograms of time series. We review methods for constructing the classical significance tests, their corresponding false alarm probability functions and the role played in these by independent random variables and by empirical and theoretical cumulative distribution functions. We discuss the concepts of independent frequencies and oversampling in periodogram analysis. We then compare the results of new Monte Carlo simulations for evenly spaced time series with results obtained previously by other authors, and present the results of Monte Carlo simulations for a specific unevenly spaced time series obtained for V403 Car.
Original language | English |
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Pages (from-to) | 1693-1707 |
Number of pages | 15 |
Journal | Monthly Notices of the Royal Astronomical Society |
Volume | 388 |
Issue number | 4 |
DOIs | |
Publication status | Published - Aug 2008 |
Keywords
- Methods: data analysis
- Methods: statistical
- Stars: oscillations
ASJC Scopus subject areas
- Astronomy and Astrophysics
- Space and Planetary Science