PuSH - Publikationsserver des Helmholtz Zentrums München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Platz, L.I. ; Knollmüller, J.* ; Arras, P.* ; Frank, P.* ; Reinecke, M.* ; Jüstel, D. ; Enßlin, T.A.*

Multicomponent imaging of the Fermi gamma-ray sky in the spatio-spectral domain.

Astron. Astrophys. 680:30 (2023)
Verlagsversion DOI
Open Access Hybrid
Creative Commons Lizenzvertrag
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.
Impact Factor
Scopus SNIP
Altmetric
6.500
1.303
Tags
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter 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
Sprache englisch
Veröffentlichungsjahr 2023
HGF-Berichtsjahr 2023
ISSN (print) / ISBN 0004-6361
e-ISSN 1432-0746
Zeitschrift Astronomy and Astrophysics
Quellenangaben Band: 680, Heft: , Seiten: , Artikelnummer: 30 Supplement: ,
Verlag EDP Sciences
Verlagsort 17, Ave Du Hoggar, Pa Courtaboeuf, Bp 112, F-91944 Les Ulis Cedex A, France
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Biological and Medical Imaging (IBMI)
Institute of Computational Biology (ICB)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-505500-001
G-503800-001
Förderungen German Federal Ministry of Education and Research (BMBF)
Deutsche Forschungsgemeinschaft (DFG, German Research foundation)
DOI 10.1051/0004-6361/202243819
WOS ID 001113604700004
Scopus ID 85179828928
Erfassungsdatum 2024-01-10
[➜Korrektur melden]