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[ascl:2404.009] superABC: Cosmological constraints from SN light curves using Approximate Bayesian Computation

The superABC sampling method obtains cosmological constraints from supernova light curves using Approximate Bayesian Computation (ABC) without any likelihood assumptions. It provides an interface to two forward model simulations, SNCosmo (ascl:1611.017) and SNANA (ascl:1010.027), for supernova cosmology.

Code site:
https://github.com/EliseJ/superabc
Described in:
https://ui.adsabs.harvard.edu/abs/2016arXiv161103087J
Bibcode:
2024ascl.soft04009J

Views: 202

ascl:2404.009
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