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Multicomponent imaging of the Fermi gamma-ray sky in the spatio-spectral domain.
Astron. Astrophys. 680:30 (2023)
The gamma-ray sky as seen by the Large Area Telescope (LAT) on board the Fermi satellite is a superposition of emissions from many processes. To study them, a rich toolkit of analysis methods for gamma-ray observations has been developed, most of which rely on emission templates to model foreground emissions. Here, we aim to complement these methods by presenting a template-free spatio-spectral imaging approach for the gamma-ray sky, based on a phenomenological modeling of its emission components. It is formulated in a Bayesian variational inference framework and allows a simultaneous reconstruction and decomposition of the sky into multiple emission components, enabled by a self-consistent inference of their spatial and spectral correlation structures. Additionally, we formulated the extension of our imaging approach to template-informed imaging, which includes adding emission templates to our component models while retaining the "data-drivenness"of the reconstruction. We demonstrate the performance of the presented approach on the ten-year Fermi LAT data set. With both template-free and template-informed imaging, we achieve a high quality of fit and show a good agreement of our diffuse emission reconstructions with the current diffuse emission model published by the Fermi Collaboration. We quantitatively analyze the obtained data-driven reconstructions and critically evaluate the performance of our models, highlighting strengths, weaknesses, and potential improvements. All reconstructions have been released as data products.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Gamma Rays: Diffuse Background ; Gamma Rays: General ; Gamma Rays: Ism ; Methods: Data Analysis ; Methods: Statistical; Large-area Telescope; Source-count Distribution; Information Field-theory; Galactic-center Excess; Photon Observations; Lat Observations; Dark-matter; Search; Emission; Morphology
ISSN (print) / ISBN
0004-6361
e-ISSN
1432-0746
Journal
Astronomy and Astrophysics
Quellenangaben
Volume: 680,
Article Number: 30
Publisher
EDP Sciences
Publishing Place
17, Ave Du Hoggar, Pa Courtaboeuf, Bp 112, F-91944 Les Ulis Cedex A, France
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Biological and Medical Imaging (IBMI)
Institute of Computational Biology (ICB)
Institute of Computational Biology (ICB)
Grants
German Federal Ministry of Education and Research (BMBF)
Deutsche Forschungsgemeinschaft (DFG, German Research foundation)
Deutsche Forschungsgemeinschaft (DFG, German Research foundation)