Marieke Schimmel

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The Lomb-Scargle periodogram was introduced in astrophysics to detect sinusoidal signals in noisy unevenly sampled time series. It proved to be a powerful tool in time series analysis and has recently been adapted in biomedical sciences. Its use is motivated by handling non-uniform data which is a common characteristic due to the restricted and irregular(More)
Inquiry learning requires the ability to understand that theory and evidence have to be distinguished and co-ordinated. Moreover, learners have to be able to control two or more independent variables when formulating hypotheses, designing experiments and interpreting outcomes. Can sixth-grade (9–10 years) children be trained to acquire these inquiry(More)
V. Farra,1 E. Stutzmann,1 L. Gualtieri,2 M. Schimmel3 and F. Ardhuin4 1Institut de Physique du Globe de Paris, PRES Sorbonne Paris Cité, CNRS UMR 7154, 1 rue Jussieu, 75005 Paris, France. E-mail: stutz@ipgp.fr 2Lamont-Doherty Earth Observatory, Columbia University, 61 Route 9W, Palisades, NY 10964, USA 3Institute of Earth Sciences Jaume Almera, CSIC, Lluis(More)
With respect to the first example in Schimmel (2001), Van Dongen et al. (2001) conclude from their Lomb-Scargle analysis that the noise I used 'contains new periodicities that are added to the signal (these periodicities by themselves resemble a harmonic series of a 38-hour rhythm).' They infer that 'the variance of the added noise is about five times as(More)
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