.. include:: references.txt .. _references: References ========== .. _publications: 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: Glossary -------- .. [MET] mission elapsed time; see also :ref:`MET_definition` in :ref:`time_handling`. 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 :ref:`install-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.