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Assessing statistical significance of periodogram peaks

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arxiv 0711.0330 v1 pith:G2OL7SPQ submitted 2007-11-02 astro-ph

Assessing statistical significance of periodogram peaks

classification astro-ph
keywords significancealarmassessingestimationsfalselimitperiodicitiesperiodogram
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The least-squares (or Lomb-Scargle) periodogram is a powerful tool which is used routinely in many branches of astronomy to search for periodicities in observational data. The problem of assessing statistical significance of candidate periodicities for different periodograms is considered. Based on results in extreme value theory, improved analytic estimations of false alarm probabilities are given. They include an upper limit to the false alarm probability (or a lower limit to the significance). These estimations are tested numerically in order to establish regions of their practical applicability.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Comparative Periodogram Analysis of 22 Years of Super-Kamiokande Solar $^{8}\mathrm{B}$ Neutrino Data: Classical, Phase-Based, and Information Theoretic Methods

    astro-ph.HE 2026-07 accept novelty 6.0

    Nine periodogram methods on 22 years of SK 8B data show the ~38.8 d signal is early-era only, reject ~24 d as seasonal, and limit any 11-year modulation to <0.2% of mean flux.

  2. Identifying and Determining Atmospheric Parameters of BHB Stars Based on LAMOST DR11

    astro-ph.SR 2026-07 conditional novelty 4.0

    A catalog of 13,988 BHB spectra (10,236 unique stars) from LAMOST DR11 with SLAM-based atmospheric parameters, using color indices to break the Teff–logg degeneracy.