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<!DOCTYPE html>
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<li class="nav-item"><a class="nav-link" href="acknowledging.html">Acknowledging</a></li>
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<main>
<div class="container">
<h1>About</h1>
<br>
<p>
<!-- <a href="#project">What is Gammapy?</a> | <a href="#acknowledge">Acknowledging Gammapy</a> | <a href="#publications">Publications</a> | <a href="#awards">Awards and Prizes</a>-->
<a href="#project">What is Gammapy?</a> | <a href="#publications">Publications</a> | <a href="#awards">Awards and Prizes</a>
</p>
<br>
<br>
<h2 id="project"><a href="#gp"> What is Gammapy?</a></h2>
<p>
Gammapy is an open-source Python package for gamma-ray analysis built on Numpy and Astropy.
</p>
<p>
It is used as core library for the Science Analysis Tool of Cherenkov Telescope Array Observatory (CTAO),
and can be used to analyse data from existing gamma-ray telescopes.
</p>
<p>
Gammapy is a community-developed, open-source Python package for gamma-ray astronomy.
It is an in-development affiliated package of Astropy that builds on the core scientific
Python stack to provide tools to simulate and analyse the gamma-ray sky for telescopes
such as CTAO, H.E.S.S., VERITAS, MAGIC, HAWC and Fermi-LAT.
Gammapy is a place for Python-coding gamma-ray astronomers to share their code and collaborate.
Feature requests and contributions welcome!
Likelihood fitting of the morphology and spectrum of gamma-ray sources (using Sherpa),
including multi-mission joint likelihood analysis and physical SED modeling (using Naima)
is one important feature we’re working on. But Gammapy has a broader scope, we currently
have code e.g. for data handling, background modeling, source detection, easy access to c
ommonly used datasets and catalogs, statistical methods, even simulating Galactic source
populations.
</p>
<br>
<p>
When using Gammapy for your publication, please follow the citation scheme presented in the
<a href="acknowledging.html">acknowledgment page</a> in order to support the
Gammapy team.
</p>
<!-- <br><br>
<h2 id="acknowledge"><a href="#acknowlegment"> Acknowledging Gammapy </a></h2>
<h3>In Publications</h3>
<p>
If you use Gammapy for work/research in a publication, we ask that you cite both:
<ul>
<li>the Gammapy proceeding <a href="https://ui.adsabs.harvard.edu/abs/2017ICRC...35..766D" class="card-link">(Deil C., et al., 2017)</a>,</li>
<li>the used version of Gammapy that you have used with the correct <a href="https://doi.org/10.5281/zenodo.4701488" class="card-link">Zenodo DOI</a></li>
</ul>
</p>
<p>
We provide the following as a standard acknowledgment you can use if there is not
a specific place to cite the paper:
</p>
<p class="citation"><cite>
"This research made use of Gammapy, a community-developed core Python package for
gamma-ray astronomy <a href="https://ui.adsabs.harvard.edu/abs/2017ICRC...35..766D" class="card-link">(Deil C., et al.
2017)</a>"
</cite></p>
<h3>In Presentations</h3>
<p>If you are giving a presentation or talk featuring work/research that makes
use of Gammapy we would like to ask you to acknowledge Gammapy by using this logo
<p><img style="width:70%;" draggable="false" src="img/gammapy_banner.png" alt="Gammapy banner"/></p>
</p>-->
<br><br>
<h2 id="publications"><a href="#pub"> Publications </a></h2>
<ul>
<li><a href="https://www.aanda.org/articles/aa/abs/2023/10/aa46488-23/aa46488-23.html" class="card-link">A&A, 678, A157 (2023)</a> -
“Gammapy: A Python package for gamma-ray astronomy ”
</li>
<li><a href="https://www.aanda.org/articles/aa/abs/2019/12/aa36452-19/aa36452-19.html" class="card-link">A&A, 632, A72 (2019)</a> -
“Validation of open-source science tools and background model construction in γ-ray astronomy”
</li>
<li><a href="https://www.aanda.org/articles/aa/full_html/2019/05/aa34938-18/aa34938-18.html" class="card-link">A&A, 625, A10 (2019)</a> -
“Towards open and reproducible multi-instrument analysis in gamma-ray astronomy”
</li>
<li><a href="https://ui.adsabs.harvard.edu/abs/2017ICRC...35..766D" class="card-link">2017ICRC...35..766D</a> -
“Gammapy - A prototype for the CTA science tools”
</li>
<li><a href="https://ui.adsabs.harvard.edu/abs/2015ICRC...34..789D" class="card-link">2015ICRC…34..789D</a> -
“Gammapy: An open-source Python package for gamma-ray astronomy”
</li>
</ul>
<p> The <strong>full list of publications using Gammapy</strong> can be found with this
<!-- <a href="https://ui.adsabs.harvard.edu/search/q=(%20(citations(doi%3A%2210.1051%2F0004-6361%2F201834938%22)%20OR%20citations(doi%3A%2210.1051%2F0004-6361%2F202346488%22)%20OR%20citations(bibcode%3A2017ICRC...35..766D))%20AND%20year%3A2014-2023)&sort=date%20desc%2C%20bibcode%20desc&p_=0">link</a>. -->
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</p>
<br><br>
<h2 id="awards"><a href="#awards"> Awards and Prizes </a></h2>
<ul>
<li> Feb. 2022: Jury Prize of the Open Science Awards Ceremony during the Paris <a href="https://osec2022.eu/">Open Science European Conference</a> - <a href="https://www.ouvrirlascience.fr/open-science-free-software-award-ceremony/" class="card-link">OSEC Press Release</a></li>
<li> July 2021: Prize of the best poster for A. Donath during the <a href="https://icrc2021.desy.de/">37th ICRC</a> - <a href="https://icrc2021.desy.de/awards_amp_prizes/" class="card-link">ICRC announcement</a> </li>
<li> June 2021: Adoption of Gammapy as Science Analysis Tool package by the <a href="https://www.cta-observatory.org/">CTAO</a> - <a href="https://www.cta-observatory.org/ctao-adopts-the-gammapy-software-package-for-science-analysis/" class="card-link">CTAO Press Release</a></li>
</ul>
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