If you use Gammapy for work/research presented in a publication (whether
directly, or as a dependency to another package), we recommend and encourage
the following citation scheme (see also https://gammapy.org/acknowledging.html):
- refer to the Gammapy paper as general citation: A&A, 678, A157 (2023) - the bibtex is given below,
- AND cite the used version of Gammapy (e.g. see https://doi.org/10.5281/zenodo.14760974 for the v1.3),

If possible, we propose to add the following acknowledgment in LaTeX:

  This work made use of Gammapy \citep{gammapy:2023}, a community-developed Python package. The Gammapy team
  acknowledges all Gammapy past and current contributors, as well as all contributors of the main Gammapy dependency
  libraries: NumPy, SciPy, Astropy, Astropy Regions, iminuit, Matplotlib.

Recommended BibTeX entry for the above citation:

@article{gammapy:2023,
    author = {{Donath}, Axel and {Terrier}, R\'egis and {Remy}, Quentin and {Sinha}, Atreyee and {Nigro}, Cosimo and
        {Pintore}, Fabio and {Kh\'elifi}, Bruno and {Olivera-Nieto}, Laura and {Ruiz}, Jose Enrique and
        {Br\"ugge}, Kai and {Linhoff}, Maximilian and {Contreras}, Jose Luis and {Acero}, Fabio and
        {Aguasca-Cabot}, Arnau and {Berge}, David and {Bhattacharjee}, Pooja and {Buchner}, Johannes and
        {Boisson}, Catherine and {Carreto Fidalgo}, David and {Chen}, Andrew and {de Bony de Lavergne}, Mathieu and
        {de Miranda Cardoso}, Jos\'e Vinicius and {Deil}, Christoph and {F\"u\ss{}ling}, Matthias and
        {Funk}, Stefan and {Giunti}, Luca and {Hinton}, Jim and {Jouvin}, L\'ea and {King}, Johannes and
        {Lefaucheur}, Julien and {Lemoine-Goumard}, Marianne and {Lenain}, Jean-Philippe and {L\'opez-Coto}, Rub\'en
        and {Mohrmann}, Lars and {Morcuende}, Daniel and {Panny}, Sebastian and {Regeard}, Maxime and {Saha}, Lab
        and {Siejkowski}, Hubert and {Siemiginowska}, Aneta and {Sip"ocz}, Brigitta M. and {Unbehaun}, Tim
        and {van Eldik}, Christopher and {Vuillaume}, Thomas and {Zanin}, Roberta},
    title = {Gammapy: A Python package for gamma-ray astronomy},
    DOI= "10.1051/0004-6361/202346488",
    url= "https://doi.org/10.1051/0004-6361/202346488",
    journal = {A\&A},
    year = 2023,
    month = 10,
    volume = 678,
    pages = "A157",
}

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  "codeRepository": "https://github.com/gammapy/gammapy",
  "datePublished": "2024-11-26",
  "description": "Gammapy analyzes gamma-ray data and creates sky images, spectra and lightcurves, from event lists and instrument response information; it can also determine the position, morphology and spectra of gamma-ray sources. It is used to analyze data from H.E.S.S., Fermi-LAT, HAWC, and the Cherenkov Telescope Array (CTA).",
  "identifier": "https://doi.org/10.5281/zenodo.4701488",
  "keywords": [
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    "Gamma-rays",
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  "license": "https://spdx.org/licenses/BSD-3-Clause",
  "name": "Gammapy: Python toolbox for gamma-ray astronomy",
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  "email": "GAMMAPY-COORDINATION-L@IN2P3.FR",
  "dateModified": "2024-11-29",
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