Dear SciPy developers, I have recently submitted code to calculate the Lomb-Scargle periodogram (see ticket http://projects.scipy.org/scipy/ticket/1352 for more information). After some iterations of review, recoding, adding documentation and adding unit tests the code (according to Ralf Gommers) is ready to go in. Ralf has nicely integrated the code into SciPy trunk in his git branch (https://github.com/rgommers/scipy/tree/lomb-scargle) and you may pull from there. Now the time has come to discuss where to put it and Ralf has suggested to have this discussion here: "I've played with your code a bit, changed a few things, and added it to scipy.signal in a github branch: https://github.com/rgommers/scipy/tree/lomb-scargle. I think it looks good, whether it really should go into signal should be discussed on the mailing list (but seemed like the logical place for it). ... The best name for the module I could think of was spectral_analysis, maybe there's a better one? It allows to add similar methods later. " I would like to suggest the module name "lssa" for "Least-squares spectral analysis". So the full path would be scipy.signal.lssa. This has several advantages. 1. It is a short name without underscores (personal preference) 2. It is a category name that can comprise several similar algorithms as desired. 3. It is immediately obvious from this name that this is different than FFT and therefore people will not be confused looking for FFT functions in this sub-module. 4. The name corresponds to the Wikipedia entry for this category of algorithms :) (but on a serious note this may help for people that want to find more information, or for people browsing wikipedia that are looking for an implementation). Please let me know what you think. Kind regards, Pim Schellart