Detecting non-sinusoidal periodicities in observational data using multi-harmonic periodograms

dc.creatorBaluev, Roman V.
dc.date2008-11-06
dc.date2009-02-13
dc.date.accessioned2026-07-07T13:13:21Z
dc.date.available2026-07-07T13:13:21Z
dc.descriptionWe address the problem of assessing the statistical significance of candidate periodicities found using the so-called `multi-harmonic' periodogram, which is being used for detection of non-sinusoidal signals, and is based on the least-squares fitting of truncated Fourier series. The recent investigation (Baluev 2008) made for the Lomb-Scargle periodogram is extended to the more general multi-harmonic periodogram. As a result, closed and efficient analytic approximations to the false alarm probability, associated with multi-harmonic periodogram peaks, are obtained. The resulting analytic approximations are tested under various conditions using Monte Carlo simulations. The simulations showed a suitable precision and robustness of these approximations.
dc.description8 pages, 6 figures, 1 table. Accepted to MNRAS
dc.identifierhttps://arxiv.org/abs/0811.0907
dc.identifierhttp://arxiv.org/abs/0811.0907
dc.identifierMon. Not. R. Astron. Soc., 2009, V. 395, Issue 3, P. 1541-1548
dc.identifierdoi:10.1111/j.1365-2966.2009.14634.x
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/229861
dc.subjectAstrophysics
dc.titleDetecting non-sinusoidal periodicities in observational data using multi-harmonic periodograms
dc.typetext

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