[SciPy-Dev] Lomb-Scargle periodogram

Warren Weckesser warren.weckesser@enthought....
Wed Dec 22 12:20:51 CST 2010


On Mon, Dec 20, 2010 at 3:27 PM, Pim Schellart <P.Schellart@astro.ru.nl>wrote:

> Dear SciPy developers,
>
> in my research field of Astronomy we often encounter timeseries with uneven
> temporal sampling.
> Such timeseries cannot be analyzed with the standard Fast Fourier
> Transform.
> The most frequently used tool to analyze such timeseries is the
> Lomb-Scargle periodogram, developed by Lomb (1976) and further extended by
> Scargle (1982).
> Currently, to my knowledge, SciPy does not include a routine to calculate
> such periodograms.
> Therefore I would like to contribute the following code which efficiently
> calculates the periodogram.
> It is licensed under the terms of the BSD open source license but I would
> be willing to release it under any other language if this is necessary for
> possible inclusion with SciPy.
> The routine is written in Fortran 95 and wrapped with f2py, but I would be
> willing to rewrite it in C if required.
> Also included is a Python test script.
> Please provide me with any feedback in case you would consider including
> this.
>
>

Pim,

I think an implementation of Lomb-Scargle and related algorithms would be a
great addition to SciPy.  With the 0.9 release coming soon, and also being
holiday season, I'm not sure how soon anyone will be able to look at your
code.  Could you add this as an enhancement request to the Trac system?
Here's the link:

    http://projects.scipy.org/scipy/wiki

Create an account, and then create a new ticket.  You can attach the code to
the ticket.

Best regards,

Warren

P.S.  There is a python/numpy implementation here:

    http://www.astropython.org/snippet/2010/9/Fast-Lomb-Scargle-algorithm
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