Fast Lomb-Scargle periodogram using Non-equispaced Fast Fourier Transform (NFFT) by B. Leroy
This Python module provides the Fast Lomb-Scargle periodogram developed by B. Leroy (2012, Astron. Astrophys. 545, A50)
It is based on the Non-equispaced Fast Fourier Transform (NFFTn http://www-user.tu-chemnitz.de/~potts/nfft/) as well as the FFTW3 library (http://www.fftw.org/). Both librairies must be installed.
- Calling sequence:
(f,p) = period(t,y,ofac,hifac)
For more details, see the associated documentation For a complete example, see nfftls_test.py
This Python module also provides the following methods: - the Non-equidistant Fast Fourier Transform (NFFT) of a time series: (f,A) = nfft(t,y,p,d). For more details, see the associated documentation - the Discrete Fourier Transform (DFT) of a time series: A = dft(t,y,f). For more details, see the associated documentation
For a complete example, see nfftls_test2.py
Change history: 1.6 (29/11/2020): module made compatible with NFFT version 3.5.3 1.5 (2/02/2020): module interface is now based on Cython, module now compatible with python 3 1.4 (11/04/2019): interface of nfft() changed, this function can now compute an over-sampled fourier transform 1.3 (10/04/2019): correct a bug that lead to over-estimate the frequency by a relative factor of 1e-5 1.2 (4/06/2013): 1.1 (18/01/2013): 1.0 (3/01/2013): initial version
Samadi, LESIA (http://lesia.obspm.fr), Observatoire de Paris, 22 Dec. 2012
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