/superabc

superABC: cosmological constraints from SN light curves using Approximate Bayesian Computation

Primary LanguagePythonMIT LicenseMIT























Latest Version Open Source Love contributions welcome

Author: Elise Jennings

arXiv:1611.03087

superABC is a new sampling method for obtaining cosmological constraints from SN light curves using Approximate Bayesian Computation (ABC).

superABC comes with an interface to two forward model simulations for SN cosmology

Please email elise@fnal.gov if you have any questions.

Installing

Install superABC using pip

$ pip install superabc

or git clone the repository using the url above. Check the dependencies listed in the next section are installed.

Dependencies

  • numpy
  • scipy
  • astroabc
  • mpi4py
  • multiprocessing
  • sklearn

if using sncosmo:

  • sncosmo
  • pandas
  • astropy

if using SNANA:

  • SNANA
  • rootpy

License

Copyright 2016 Elise Jennings

superABC is free software made available under the MIT License. For details see the LICENSE.txt file.