1999
DOI: 10.1051/aas:1999411
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Three stage period analysis and complementary methods

Abstract: Abstract. We generalize the multistage period search and analysis method for the case when the data error estimates (i.e. statistical weights) are available. Adjustment of model parameters allows us to detect complex wave forms in noisy data. Complementary statistical tests are also presented to estimate the significance of the detected periodicities, to verify the modelling reliability, and to separate real periodicities from spurious ones. The application of these methods is illustrated on different samples … Show more

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Cited by 25 publications
(30 citation statements)
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References 12 publications
(14 reference statements)
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“…A complete description of the method can be found in Lehtinen et al (2011). The CPS method has been developed from the three stage period analysis (TSPA) by Jetsu & Pelt (1999). The CPS uses a sliding window to divide the data into shorter datasets and then determines local models using a variable Kth-order Fourier series:…”
Section: Discussionmentioning
confidence: 99%
“…A complete description of the method can be found in Lehtinen et al (2011). The CPS method has been developed from the three stage period analysis (TSPA) by Jetsu & Pelt (1999). The CPS uses a sliding window to divide the data into shorter datasets and then determines local models using a variable Kth-order Fourier series:…”
Section: Discussionmentioning
confidence: 99%
“…However, empirical evidence tying the cratering record on Earth to Galactic perturbations remains controversial (Jetsu and Pelt, 2000). Marochnik (1984) and Bal´azs (1988) argued that the placement of the Sun's Galactic orbit very near the corotation circle is an important requirement for habitability.…”
Section: The Galactic Habitable Zonementioning
confidence: 99%
“…In the ideal case of exact periods with reasonably even sampling and full time coverage, the error estimates based on the curvature of W RSS(P ) can give good estimates for period errors. But for more complex cases, bootstrap type procedures must be involved (see Jetsu & Pelt 1999). The bootstrap for multichannel methods must take into account the special structure of the input data and will only work if the residuals are uncorrelated.…”
Section: Simple Testsmentioning
confidence: 99%
“…As a rule, astronomers perform time series analysis for each observed channel separately. Sometimes normalization is used to put the channels on an equal footing (see for instance Jetsu & Pelt 1999) and sometimes the results from different channels are averaged (You 1999). It is quite clear that in this way part of the information in the data is lost, especially if the light curves and error estimates for separate channels are substantially different.…”
Section: Introductionmentioning
confidence: 99%
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