Computing sky maps using the open-source package Gammapy and MAGIC data in a standardized format

The open-source Python package Gammapy, developed for the high-level analysis of gamma-ray data, requires gamma-like event lists combined with the corresponding instrument response functions. For a morphological analysis, these data have to include a background acceptance model. Here we report an ap...

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Published inarXiv.org
Main Authors Mender, Simone, Linhoff, Lena, Hassan, Tarek, Nigro, Cosimo, Elsässer, Dominik, the MAGIC collaboration
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 22.02.2023
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Abstract The open-source Python package Gammapy, developed for the high-level analysis of gamma-ray data, requires gamma-like event lists combined with the corresponding instrument response functions. For a morphological analysis, these data have to include a background acceptance model. Here we report an approach to generate such a model for the MAGIC telescope data, accounting for the azimuth and zenith dependencies of the MAGIC background acceptance. We validate this method using observations of the Crab Nebula with different offsets from the pointing position.
AbstractList The open-source Python package Gammapy, developed for the high-level analysis of gamma-ray data, requires gamma-like event lists combined with the corresponding instrument response functions. For a morphological analysis, these data have to include a background acceptance model. Here we report an approach to generate such a model for the MAGIC telescope data, accounting for the azimuth and zenith dependencies of the MAGIC background acceptance. We validate this method using observations of the Crab Nebula with different offsets from the pointing position.
Author Linhoff, Lena
Mender, Simone
the MAGIC collaboration
Hassan, Tarek
Nigro, Cosimo
Elsässer, Dominik
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SubjectTerms Astronomical maps
Crab nebula
Data analysis
Gamma rays
Response functions
Title Computing sky maps using the open-source package Gammapy and MAGIC data in a standardized format
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