- New function:
LombScargl.model. It gives the best fitting–Scargle model at a given frequency. findmaxfreqfunction now can take an optional argument (interval) to limit the search for the maximum frequency to a certain frequency range.
- The fast, but approximate, method by Press & Rybicki (1989) has been
implemented. This has complexity O[N log(N)], to be compared with the O[N^2]
of the true Lomb–Scargle periodogram. The implementation in this package is
based on the one in Astropy. Related to this method, three new keywords for
lombscarglefunction has been added:fast,oversampling,Mfft. - The generalised Lomb–Scargle algorithm by Zechmeister & Kürster is used also
with
fit_mean=false, when the user provided the uncertainties.
- New functions:
findmaxpower,prob,probinv,fap,fapinv. - New optional keyword for
lombscarglefunction:noise_level.
Initial release.