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A python module to detect stellar flares using Bayesian model comparison

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BayesFlare

Semver GitHub version

Automated flare-finding algorithm for Kepler photometric data

This repository contains a series of Python scripts which are designed to analyse photometric data produced by the Kepler program to find flaring events. The long-term aim for the program is to be capable of running on data from all quarters collected by the spacecraft, and at both long and short cadences.

If using this code for a publication would we be grateful if you cite the paper by Pitkin, Williams, Fletcher & Grant, arXiv:1406.1712.

Requirements

  • Python 2.7
  • NumPy 1.6.1
  • SciPy 0.9.0
  • Matplotlib 1.1.1
  • PyFITS 2.4.0

Documentation

The documentation is available online at readthedocs.

The Documentation for BayesFlare is produced by Sphinx with two extension packages,

  • numpydoc
  • sphinx_rtd_theme

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A python module to detect stellar flares using Bayesian model comparison

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