SN(oo)Py
SN(oo)py is a python package that contains many tools for the analysis of TypeIa supernovae. It is not a fixed altorithm for fitting lightcurves, but rather a collection of tools that are useful for building your own fitter (or fitting interactively). SNpy has the following capabilities and tools:
- SNIa lightcurve template generator in the CSP passbands: uBVgriYJHK, as well as Jose-Louis Prieto's templates for BVRI.
- Computation of K-corrections based on Eric Hsiao's SNIa SED template, Peter Nugent's SED templates, or your own spectra, including color-matching.
- Interactive plotting of light-curve data and models (and spectra).
- LM non-linear least-squares fitting of light-curve data based on CSP or Prieto templates and their respective low-z calibrators.
- Computation of reddening laws based on the Cardelli et al. extinction law.
- Estimates of Milky-Way Extinction based on the dust maps of Schlegel et al.
- Various types of spline fitting (Diercx, hyper-spline, and tension splines).
- Computing bolometric light-curves.
- Module for dealing with filters and spectra.
- Importing data directly from the Open Supernova Catalog.
- Run two other popular SN Ia LC fitters: MLCS2k2 and SALT2 from within SNooPy.
Links:
- Documentation
- Installation Guide
- SNooPy source code
- FAQ
- Contact Chris Burns for help with SNooPy (after you read the FAQ, of course).
- I've set up a mailing list. Subscribe if you want the latest news about releases.
