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.
Software references:
- 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"
- CSV
comma-separated values; see also
CSV_files.- 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"
- FSSC2013
Fermi LAT Collaboration (2013) "Science Tools: LAT Data Analysis Tools"
- Feldman1998
Feldman & Cousins (1998), "Unified approach to the classical statistical analysis of small signals"
- Knoedlseder2012
Knödlseder et at. (2012) "GammaLib: A New Framework for the Analysis of Astronomical Gamma-Ray Data"
- 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"
- MET
mission elapsed time; see also
time_gammapy.- 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",
- Raue2012
Raue (2012), "PyFACT: Python and FITS analysis for Cherenkov telescopes"
- Robitaille2013
Robitaille et al. (2013) "Astropy: A community Python package for astronomy"
- 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"