https://github.com/adacs-australia/beans

2023A project lead by Adelle Goodwin

https://github.com/adacs-australia/beans

Science Score: 10.0%

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  • codemeta.json file
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  • Academic publication links
    Links to: arxiv.org
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  • Scientific vocabulary similarity
    Low similarity (12.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

2023A project lead by Adelle Goodwin

Basic Info
  • Host: GitHub
  • Owner: ADACS-Australia
  • License: mit
  • Language: Python
  • Default Branch: master
  • Size: 6.6 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Fork of adellej/beans
Created over 3 years ago · Last pushed about 3 years ago
Metadata Files
Readme Changelog Contributing License

README.rst

======
BEANSp
======


.. .. image:: https://img.shields.io/pypi/v/beans.svg
..         :target: https://pypi.python.org/pypi/beans

.. .. image:: https://img.shields.io/travis/adellej/beans.svg
..         :target: https://travis-ci.org/adellej/beans

.. .. image:: https://readthedocs.org/projects/beans/badge/?version=latest
..         :target: https://beans.readthedocs.io/en/latest/?badge=latest
..         :alt: Documentation Status



Bayesian Estimation of Accreting Neutron Star parameters
-----------------------------------------------------------------

* 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 softwate (BEANSp) was based on code written by Duncan Galloway, and uses Dan Foreman-Mackey's python implementation of MCMC, emcee. It depends on pySettle (https://github.com/adellej/pysettle), which was forked from the original settle written by Andrew Cumming.

Package installation and usage
------------------------------
BEANSp is on pyPI (https://pypi.org/project/beansp/) so installation is easy - either straight or in virtual environment:

   .. code-block::
   
      pip install beansp
  
   .. ::
   
   .. code-block::
   
      from beansp.beans import Beans 

(Please refer to `this simple test script `_ as an example.)

Build and installation from this github repository
--------------------------------------------------

Please refer to `build instructions `_.


Owner

  • Name: Astronomy Data and Computing Services
  • Login: ADACS-Australia
  • Kind: organization
  • Location: Australia

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Dependencies

requirements.txt pypi
  • astropy *
  • chainconsumer *
  • corner *
  • emcee >=3.0
  • h5py >=2.10.0
  • matplotlib *
  • numpy *
  • pytest *
  • scipy *
  • tables *
requirements_dev.txt pypi
  • Sphinx ==1.8.5 development
  • astropy * development
  • bump2version ==0.5.11 development
  • chainconsumer * development
  • corner * development
  • coverage ==4.5.4 development
  • coveralls * development
  • emcee * development
  • flake8 ==3.7.8 development
  • idlsave * development
  • matplotlib * development
  • numpy * development
  • pip ==19.2.3 development
  • pytest ==4.6.5 development
  • pytest-runner ==5.1 development
  • scipy * development
  • tox ==3.14.0 development
  • twine ==1.14.0 development
  • watchdog ==0.9.0 development
  • wheel ==0.33.6 development