ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

ASCL Code Record

[ascl:1705.016] astroABC: Approximate Bayesian Computation Sequential Monte Carlo sampler

astroABC is a Python implementation of an Approximate Bayesian Computation Sequential Monte Carlo (ABC SMC) sampler for parameter estimation. astroABC allows for massive parallelization using MPI, a framework that handles spawning of processes across multiple nodes. It has the ability to create MPI groups with different communicators, one for the sampler and several others for the forward model simulation, which speeds up sampling time considerably. For smaller jobs the Python multiprocessing option is also available.

Code site:
https://github.com/EliseJ/astroABC
Described in:
https://ui.adsabs.harvard.edu/abs/2017A%26C....19...16J
Bibcode:
2017ascl.soft05016J

Views: 4862

ascl:1705.016
Add this shield to your page
Copy the above HTML to add this shield to your code's website.