martincupak / beansp

Bayesian Estimation of Accreting Neutron Star parameters

beans

Bayesian Estimation of Accreting Neutron Star parameters (BEANSp)

• Free software: MIT license
• Documentation: https://beans-7.readthedocs.io/en/latest/
• Repo: https://github.com/adellej/beans

Features

This software uses a Markov Chain Monte Carlo approach to match observations of an accreting neutron star in outburst with a simple ignition model to predict unobservable parameters such as neutron star mass, radius, surface gravity, distance and inclination of the source, and accreted fuel composition. The code is all written in Python 3, except for settle which is a c++ code with a python wrapper. It makes use of Dan Foreman-Mackey's python implementation of MCMC, emcee, available here - https://github.com/dfm/emcee.

Credits

Software written by Adelle Goodwin. See Goodwin et al. (2019) - https://arxiv.org/pdf/1907.00996.

This code makes use of settle (written by Andrew Cumming), was based on code written by Duncan Galloway, and uses Dan Foreman-Mackey's python implementation of MCMC, emcee.

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.