
SNooPy released
The light-curve fitting code used by the CSP, SNooPy (SuperNovae in Object Oriented Python) has been released for general use.
The Carnegie Supernova Project has developed an analysis package, written in python, called SNooPy. It's fundamental use is for fitting TypeIa supernova light-curves using template derived from the CSP uBVgriYJH photometry. SNooPy can therefore determine distances to SNeIa using any combination of these filters. More generally, SNooPy includes tools for computing S- and K-corrections, determining galactic extinction, producing synthetic photometry based on filter responses and spectral energy distributions, and general-purpose curve fitting. The code is available for download here.