BayesFlare Reference

This is the reference manual for BayesFlare, a pythonic system for handling Kepler light curve data, and using Bayesian techniques to identify stellar flares in them.

If you make use of this software for a publication we would be grateful if you cite Pitkin, Williams, Fletcher and Grant, arXiv:1406.1712.

• A Brief Introduction to BayesFlare
  • References
• Tutorial
• Pre-made Scripts
  • plot_lightcurve.py
  • plot_spectrum.py
  • flare_detection_threshold.py
  • flare_detection_efficiency.py
  • kepler_analysis_script.py
  • parameter_estimation_example.py
  • References

API Reference

• Data Handling
• Models
• Bayesian Functions
• Noise Estimation and Simulation
• Flare Identification
• Miscellaneous Functions

Acknowledgements

The development of the BayesFlare module and the scripts for which it was created was part-funded by the Royal Society of Edinburgh Cormack Bequest.

Indices and tables

• Index
• Module Index
• Search Page