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”


[CSV]comma-separated values; see also CSV.
[MET]mission elapsed time; see also Mission elapsed times (MET) in Time handling in Gammapy.
[RST]restructured text; the markup format used for documentation and docstrings. See here and here.

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: