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”,|
“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”|
|[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”,|
“Maximum-likelihood detection of sources among Poissonian noise”|
“PyFACT: Python and FITS analysis for Cherenkov telescopes”|
|[Knoedlseder2016]||Knödlseder et at. (2016)
“GammaLib and ctools. A software framework for the analysis of astronomical gamma-ray data”|
Other gamma-ray packages
Here are some other software packages for gamma-ray astronomy:
- Gammalib /ctools is a C++ package with Python wrapper, similar to the Fermi-LAT ScienceTools,
that to a large degree uses the same input data formats as Gammapy.
- 3ML is a Python package that uses existing packages (e.g. the Fermi-LAT ScienceTools or the HAWC software)
to deal with the data and IRFs and compute the likelihood for a given model.
- Sherpa — X-ray modeling and fitting package by the Chandra X-ray Center
- ctapipe — CTA Python pipeline experimental version
- FermiPy — Fermi-LAT science tools high-level Python interface by Matthew Wood
- gammatools — Python tools for Fermi-LAT gamma-ray data analysis by Matthew Wood
- pointlike – Fermi-LAT science tools alternative by Toby Burnett
- naima — an SED modeling and fitting package by Victor Zabalza
- Gamera — a C++ gamma-ray source modeling package (SED, SNR model, Galactic population model) with a Python wrapper called Gappa by Joachim Hahn
- FLaapLUC — Fermi/LAT automatic aperture photometry Light C<->Urve pipeline by Jean-Philippe Lenain
- http://voparis-cta-client.obspm.fr/ — prototype web app for CTA data access / analysis, not open source.
- act-analysis — Python scripts and Makefiles for some common gamma-ray data analysis tasks by Karl Kosack
- VHEObserverTools — tools to predict detectability at VHE by Jeremy Perkins
- photon_simulator — Python code to simulate X-ray observations
- pycrflux — Python module to plot cosmic-ray flux
- 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 .
Other useful packages
In addition to the packages mentioned in the last section and at Gammapy Dependencies,
here’s a few other Python packages you might find useful / interesting: