Результаты исследований: Научные публикации в периодических изданиях › статья
Detecting non-sinusoidal periodicities in observational data: the von Mises periodogram for variable stars and exoplanetary transits. / Baluev, R.V.
в: Monthly Notices of the Royal Astronomical Society, Том 431, № 2, 2013, стр. 1167-1179.Результаты исследований: Научные публикации в периодических изданиях › статья
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TY - JOUR
T1 - Detecting non-sinusoidal periodicities in observational data: the von Mises periodogram for variable stars and exoplanetary transits
AU - Baluev, R.V.
PY - 2013
Y1 - 2013
N2 - This paper introduces an extension of the linear least-squares (or Lomb-Scargle) periodogram for the case when the model of the signal to be detected is non-sinusoidal and depends on unknown parameters in a non-linear manner. The problem of estimating the statistical significance of candidate periodicities found using such non-linear periodograms is examined. This problem is related to the task of quantifying the distributions of the maximum values of these periodograms. Based on recent results in the mathematical theory of extreme values of a random field (the generalized Rice method), a general approach is provided to find a useful analytic approximation for these distributions. This approximation has the general form e^{-z} P(√{z}), where P is an algebraic polynomial and z is the periodogram maximum. The general tools developed in this paper can be used in a wide variety of astronomical applications, for instance in the study of variable stars and extra-solar planets. With this in mind, we develop and cons
AB - This paper introduces an extension of the linear least-squares (or Lomb-Scargle) periodogram for the case when the model of the signal to be detected is non-sinusoidal and depends on unknown parameters in a non-linear manner. The problem of estimating the statistical significance of candidate periodicities found using such non-linear periodograms is examined. This problem is related to the task of quantifying the distributions of the maximum values of these periodograms. Based on recent results in the mathematical theory of extreme values of a random field (the generalized Rice method), a general approach is provided to find a useful analytic approximation for these distributions. This approximation has the general form e^{-z} P(√{z}), where P is an algebraic polynomial and z is the periodogram maximum. The general tools developed in this paper can be used in a wide variety of astronomical applications, for instance in the study of variable stars and extra-solar planets. With this in mind, we develop and cons
U2 - 10.1093/mnras/stt238
DO - 10.1093/mnras/stt238
M3 - Article
VL - 431
SP - 1167
EP - 1179
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
SN - 0035-8711
IS - 2
ER -
ID: 7375379