2017
DOI: 10.48550/arxiv.1709.01751
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Gammapy - A prototype for the CTA science tools

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).… Show more

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Cited by 8 publications
(13 citation statements)
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“…A low diffusion coefficient exacerbates this problem, confining electrons to a smaller region around their sources within their cooling time. Figure 1 explores this effect quantitatively using a simple population model from the gammapy package [15] assuming a supernova rate of 3 per century. There sources were distributed using the radial distribution described in [16] with the velocity distribution and spiral arms used by [17].…”
Section: Introductionmentioning
confidence: 99%
“…A low diffusion coefficient exacerbates this problem, confining electrons to a smaller region around their sources within their cooling time. Figure 1 explores this effect quantitatively using a simple population model from the gammapy package [15] assuming a supernova rate of 3 per century. There sources were distributed using the radial distribution described in [16] with the velocity distribution and spiral arms used by [17].…”
Section: Introductionmentioning
confidence: 99%
“…The VERITAS collaboration has collected ∼ 180 h of exposure per source, spanning from 2008 to 2021. VERITAS data are pre-analyzed using collaboration standard packages [4,5] to reduce data to DL3 products and then higher-level products such as spectra or lightcurves are produced using gammapy [6,7]. VERITAS data are combined with Fermi-LAT, Swift-XRT and Swift-UVOT.…”
Section: Discussionmentioning
confidence: 99%
“…data and will be of prime interest for CTA. They will be implemented in the analysis softwares of CTA : ctools (Knödlseder et al 2016) and gammapy (Deil et al 2017). The performance of the methods described in this publication applied to CTA analysis and for more realistic cases will be estimated in a forthcoming publication.…”
Section: Discussionmentioning
confidence: 99%