Detection of periodicity based on serial dependence of phase-folded data.

Research output: Contribution to journalArticlepeer-review

Abstract

We introduce and test several novel approaches for periodicity detection in unevenly-spaced sparse data sets. Specifically, we examine five different kinds of periodicity metrics, which are based on non-parametric measures of serial dependence of the phase-folded data. We test the metrics through simulations in which we assess their performance in various situations, including various periodic signal shapes, different numbers of data points and different signal-to-noise ratios. One of the periodicity metrics we introduce seems to perform significantly better than the classical ones in some settings of interest to astronomers. We suggest that this periodicity metric - the Hoeffding-test periodicity metric - should be used in addition to the traditional methods, to increase periodicity detection probability.
Original languageEnglish
Pages (from-to)2723-2733
Number of pages11
JournalMonthly Notices of the Royal Astronomical Society
Volume449
Issue number3
DOIs
StatePublished - 21 May 2015

Keywords

  • BINARY stars
  • ASTRONOMERS
  • PHASE transformations (Physics)
  • SIMULATION methods & models
  • PROBABILITY theory
  • STELLAR spectra
  • binaries: eclipsing
  • binaries: spectroscopic
  • methods: data analysis
  • methods: statistical

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