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Aug 26 – 30, 2024
University of Chicago
America/Chicago timezone

Characterizing the Fermi-LAT high-latitude sky with simulation-based inference

Not scheduled
20m

Speaker

Christopher Eckner (Center for Astrophysics and Cosmology, University of Nova Gorica)

Description

The GeV gamma-ray sky, as observed by the Fermi Large Area Telescope (Fermi LAT), harbors a plethora of localized point-like sources. At high latitudes ($|b|>30^{\circ}$), most of these sources are of extragalactic origin. The source-count distribution as a function of their flux, $\mathrm{d}N/\mathrm{d}S$, is a well-established quantity to summarize this population. We employ sequential simulation-based inference using the truncated marginal neural ratio estimation (TMNRE) algorithm on 12 years of Fermi-LAT data to infer the parameters of the $\mathrm{d}N/\mathrm{d}S$ distribution in this part of the sky for energies between 1 GeV and 10 GeV. While our approach allows us to cross-validate existing results in the literature, we demonstrate that we can go further than mere parameter inference. We derive a source catalogue of detected sources at high latitudes in terms of position and flux obtained from a self-consistently determined detection threshold based on the LAT's instrument response functions and utilized gamma-ray background models.

Primary authors

Christoph Weniger (GRAPPA, University of Amsterdam) Christopher Eckner (Center for Astrophysics and Cosmology, University of Nova Gorica) Florian List (University of Vienna) Francesca Calore (LAPTh, CNRS) Noemi Anau Montel (GRAPPA, University of Amsterdam)

Presentation materials

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