{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/gammapy-a-prototype-for-the-cta-science-tools","title":"Gammapy - A prototype for the CTA science tools","arxiv_id":"1709.01751","date":"2017-09-06","proceeding":null,"authors":["Christoph Deil","Roberta Zanin","Julien Lefaucheur","Catherine Boisson","Bruno Khélifi","Régis Terrier","Matthew Wood","Lars Mohrmann","Nachiketa Chakraborty","Jason Watson","Rubén López Coto","Stefan Klepser","Matteo Cerruti","Jean-Philippe Lenain","Fabio Acero","Arache Djannati-Ataï","Santiago Pita","Zeljka Bosnjak","José Enrique Ruiz","Cyril Trichard","Thomas Vuillaume","Axel Donath","Johannes King","Léa Jouvin","Ellis Owen","Manuel Paz Arribas","Brigitta Sipocz","Dirk Lennarz","Arjun Voruganti","Marion Spir-Jacob"],"abstract":"Gammapy is a Python package for high-level gamma-ray data analysis built on Numpy, Scipy and Astropy. It enables us to analyze gamma-ray data and to create sky images, spectra and lightcurves, from event lists and instrument response information, and to determine the position, morphology and spectra of gamma-ray sources. So far Gammapy has mostly been used to analyze data from H.E.S.S. and Fermi-LAT, and is now being used for the simulation and analysis of observations from the Cherenkov Telescope Array (CTA). We have proposed Gammapy as a prototype for the CTA science tools. This contribution gives an overview of the Gammapy package and project and shows an analysis application example with simulated CTA data.","url_abs":"http://arxiv.org/abs/1709.01751v1","url_pdf":"http://arxiv.org/pdf/1709.01751v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"gammapy-a-prototype-for-the-cta-science-tools","repo_url":"https://github.com/open-gamma-ray-astro/joint-crab","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}