# References¶

## Publications¶

This is the bibliography containing the literature references for the implemented methods referenced from the Gammapy docs.

The best reference to TeV data analysis is Chapter 7 of Mathieu de Naurois’s habilitation thesis.

[Albert2007] | Albert et al. (2007), “Unfolding of differential energy spectra in the MAGIC experiment”, |

[Berge2007] | Berge et al. (2007), “Background modelling in very-high-energy gamma-ray astronomy” |

[Cash1979] | Cash (1979), “Parameter estimation in astronomy through application of the likelihood ratio” |

[Cousins2007] | Cousins et al. (2007), “Evaluation of three methods for calculating statistical significance when incorporating a systematic uncertainty into a test of the background-only hypothesis for a Poisson process” |

[Feldman1998] | Feldman & Cousins (1998), “Unified approach to the classical statistical analysis of small signals” |

[Lafferty1994] | Lafferty & Wyatt (1994), “Where to stick your data points: The treatment of measurements within wide bins” |

[LiMa1983] | Li & Ma (1983), “Analysis methods for results in gamma-ray astronomy” |

[Meyer2010] | Meyer et al. (2010), “The Crab Nebula as a standard candle in very high-energy astrophysics” |

[Naurois2012] | de Naurois (2012), “Very High Energy astronomy from H.E.S.S. to CTA. Opening of a new astronomical window on the non-thermal Universe”, |

[Piron2001] | Piron et al. (2001), “Temporal and spectral gamma-ray properties of Mkn 421 above 250 GeV from CAT observations between 1996 and 2000”, |

[Rolke2005] | Rolke et al. (2005), “Limits and confidence intervals in the presence of nuisance parameters”, |

[Stewart2009] | Stewart (2009), “Maximum-likelihood detection of sources among Poissonian noise” |

Software references:

[Raue2012] | Raue (2012), “PyFACT: Python and FITS analysis for Cherenkov telescopes” |

[Robitaille2013] | Robitaille et al. (2013) “Astropy: A community Python package for astronomy” |

[Knoedlseder2012] | Knödlseder et at. (2012) “GammaLib: A New Framework for the Analysis of Astronomical Gamma-Ray Data” |

[FSSC2013] | Fermi LAT Collaboration (2013) “Science Tools: LAT Data Analysis Tools” |

[Mayer2015] | Michael Mayer (2015) “Pulsar wind nebulae at high energies” |

## Glossary¶

[MET] | mission elapsed time; see also Mission elapsed times (MET) in Time handling in Gammapy. |

## Other useful packages¶

In addition to the packages mentioned in the last section and at Dependencies, here’s a few other Python packages you might find useful / interesting:

- See the list here: http://www.astropy.org/affiliated/
- Pulsar timing package PINT
- iminuit fitter and probfit likelihood function builder.
- Andy strong has C++ codes (GALPROP and Galplot) for Galactic cosmic rays and emission and source population synthesis at http://www.mpe.mpg.de/~aws/propagate.html .