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Gammapy: A Python package for gamma-ray astronomy

dc.contributor.authorDONATH, Axel
hal.structure.identifierAstroParticule et Cosmologie [APC (UMR_7164)]
dc.contributor.authorTERRIER, Régis
dc.contributor.authorREMY, Quentin
dc.contributor.authorSINHA, Atreyee
dc.contributor.authorNIGRO, Cosimo
dc.contributor.authorPINTORE, Fabio
hal.structure.identifierAstroParticule et Cosmologie [APC (UMR_7164)]
dc.contributor.authorKHÉLIFI, Bruno
dc.contributor.authorOLIVERA-NIETO, Laura
dc.contributor.authorRUIZ, Jose Enrique
dc.contributor.authorBRÜGGE, Kai
dc.contributor.authorLINHOFF, Maximilian
dc.contributor.authorCONTRERAS, Jose Luis
hal.structure.identifierAstrophysique Interprétation Modélisation [AIM (UMR7158 / UMR_E_9005 / UM_112)]
dc.contributor.authorACERO, Fabio
dc.contributor.authorAGUASCA-CABOT, Arnau
dc.contributor.authorBERGE, David
hal.structure.identifierLaboratoire d'Annecy de Physique des Particules [LAPP]
dc.contributor.authorBHATTACHARJEE, Pooja
dc.contributor.authorBUCHNER, Johannes
hal.structure.identifierLaboratoire Univers et Théories [LUTH (UMR_8102)]
dc.contributor.authorBOISSON, Catherine
dc.contributor.authorCARRETO FIDALGO, David
dc.contributor.authorCHEN, Andrew
hal.structure.identifierLaboratoire d'Annecy de Physique des Particules [LAPP]
dc.contributor.authorDE BONY DE LAVERGNE, Mathieu
dc.contributor.authorDE MIRANDA CARDOSO, José Vinícius
dc.contributor.authorDEIL, Christoph
dc.contributor.authorFÜSSLING, Matthias
dc.contributor.authorFUNK, Stefan
hal.structure.identifierAstroParticule et Cosmologie [APC (UMR_7164)]
dc.contributor.authorGIUNTI, Luca
dc.contributor.authorHINTON, Jim
hal.structure.identifierInstitut de Recherches sur les lois Fondamentales de l'Univers [IRFU]
dc.contributor.authorJOUVIN, Léa
dc.contributor.authorKING, Johannes
hal.structure.identifierAstroParticule et Cosmologie [APC (UMR_7164)]
dc.contributor.authorLEFAUCHEUR, Julien
hal.structure.identifierCentre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]
dc.contributor.authorLEMOINE-GOUMARD, Marianne
hal.structure.identifierLaboratoire de Physique Nucléaire et de Hautes Énergies [LPNHE (UMR_7585)]
dc.contributor.authorLENAIN, Jean-Philippe
dc.contributor.authorLÓPEZ-COTO, Rubén
dc.contributor.authorMOHRMANN, Lars
dc.contributor.authorMORCUENDE, Daniel
dc.contributor.authorPANNY, Sebastian
hal.structure.identifierAstroParticule et Cosmologie [APC (UMR_7164)]
dc.contributor.authorREGEARD, Maxime
dc.contributor.authorSAHA, Lab
dc.contributor.authorSIEJKOWSKI, Hubert
dc.contributor.authorSIEMIGINOWSKA, Aneta
dc.contributor.authorSIPŐCZ, Brigitta M
dc.contributor.authorUNBEHAUN, Tim
dc.contributor.authorVAN ELDIK, Christopher
hal.structure.identifierLaboratoire d'Annecy de Physique des Particules [LAPP]
dc.contributor.authorVUILLAUME, Thomas
dc.contributor.authorZANIN, Roberta
dc.date.accessioned2023-11-20T16:37:32Z
dc.date.available2023-11-20T16:37:32Z
dc.date.issued2023
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/184948
dc.description.abstractEnIn this article, we present Gammapy, an open-source Python package for the analysis of astronomical $\gamma$-ray data, and illustrate the functionalities of its first long-term-support release, version 1.0. Built on the modern Python scientific ecosystem, Gammapy provides a uniform platform for reducing and modeling data from different $\gamma$-ray instruments for many analysis scenarios. Gammapy complies with several well-established data conventions in high-energy astrophysics, providing serialized data products that are interoperable with other software packages. Starting from event lists and instrument response functions, Gammapy provides functionalities to reduce these data by binning them in energy and sky coordinates. Several techniques for background estimation are implemented in the package to handle the residual hadronic background affecting $\gamma$-ray instruments. After the data are binned, the flux and morphology of one or more $\gamma$-ray sources can be estimated using Poisson maximum likelihood fitting and assuming a variety of spectral, temporal, and spatial models. Estimation of flux points, likelihood profiles, and light curves is also supported. After describing the structure of the package, we show, using publicly available $\gamma$-ray data, the capabilities of Gammapy in multiple traditional and novel $\gamma$-ray analysis scenarios, such as spectral and spectro-morphological modeling and estimations of a spectral energy distribution and a light curve. Its flexibility and power are displayed in a final multi-instrument example, where datasets from different instruments, at different stages of data reduction, are simultaneously fitted with an astrophysical flux model.
dc.language.isoen
dc.subject.enbackground, hadronic
dc.subject.enflux
dc.subject.enspectral
dc.subject.engamma ray
dc.subject.enprogramming
dc.subject.enspectral energy distribution
dc.subject.enPoisson
dc.subject.enstructure
dc.title.enGammapy: A Python package for gamma-ray astronomy
dc.typeArticle de revue
dc.identifier.doi10.1051/0004-6361/202346488
dc.subject.halPhysique [physics]/Physique [physics]/Instrumentations et Détecteurs [physics.ins-det]
dc.subject.halPhysique [physics]/Astrophysique [astro-ph]
dc.subject.halPhysique [physics]/Physique [physics]/Analyse de données, Statistiques et Probabilités [physics.data-an]
dc.identifier.arxiv2308.13584
bordeaux.journalAstron.Astrophys
bordeaux.pageA157
bordeaux.volume678
bordeaux.hal.laboratoriesCentre d'Études Nucléaires de Bordeaux Gradignan (CENBG)*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-04192799
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04192799v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Astron.Astrophys&rft.date=2023&rft.volume=678&rft.spage=A157&rft.epage=A157&rft.au=DONATH,%20Axel&TERRIER,%20R%C3%A9gis&REMY,%20Quentin&SINHA,%20Atreyee&NIGRO,%20Cosimo&rft.genre=article


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