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SNCosmo: Python library for supernova cosmology

Posted: Sun Nov 27, 2016 8:44 am
by Ada Coda
SNCosmo: Python library for supernova cosmology

Abstract: SNCosmo synthesizes supernova spectra and photometry from SN models, and has functions for fitting and sampling SN model parameters given photometric light curve data. It offers fast implementations of several commonly used extinction laws and can be used to construct SN models that include dust. The SNCosmo library includes supernova models such as SALT2, MLCS2k2, Hsiao, Nugent, PSNID, SNANA and Whalen models, as well as a variety of built-in bandpasses and magnitude systems, and provides convenience functions for reading and writing peculiar data formats used in other packages. The library is extensible, allowing new models, bandpasses, and magnitude systems to be defined using an object-oriented interface.

Credit: Barbary, Kyle; Barclay, Tom; Biswas, Rahul; Craig, Matt; Feindt, Ulrich; Friesen, Brian; Goldstein, Danny; Jha, Saurabh; Rodney, Steve; Sofiatti, Caroline; Thomas, Rollin C.; Wood-Vasey, Michael


Bibcode: 2016ascl.soft11017B

Preferred citation method:

ID: ascl:1611.017