Unveiling the Gamma-ray Source Count Distribution Below the Fermi Detection Limit with Photon Statistics
Hannes-S. Zechlin, Alessandro Cuoco, Fiorenza Donato, Nicolao Fornengo, and Andrea Vittino

TL;DR
This paper introduces a new statistical method to analyze Fermi-LAT gamma-ray data, revealing the distribution of faint gamma-ray sources below detection thresholds and quantifying their contribution to the high-latitude gamma-ray sky.
Contribution
The authors develop a novel pixel-count statistics technique to decompose gamma-ray emission sources, extending detection capabilities to fluxes ten times fainter than previous catalogs.
Findings
dN/dS follows a broken power law with a break at 2.1e-8 cm^{-2}s^{-1}
Point sources contribute approximately 25% of the high-latitude gamma-ray sky
The method improves detection sensitivity by about an order of magnitude over existing catalogs.
Abstract
The source-count distribution as a function of their flux, dN/dS, is one of the main quantities characterizing gamma-ray source populations. We employ statistical properties of the Fermi Large Area Telescope (LAT) photon counts map to measure the composition of the extragalactic gamma-ray sky at high latitudes (|b|>30 deg) between 1 GeV and 10 GeV. We present a new method, generalizing the use of standard pixel-count statistics, to decompose the total observed gamma-ray emission into (a) point-source contributions, (b) the Galactic foreground contribution, and (c) a truly diffuse isotropic background contribution. Using the 6-year Fermi-LAT data set (P7REP), we show that the dN/dS distribution in the regime of so far undetected point sources can be consistently described with a power law of index between 1.9 and 2.0. We measure dN/dS down to an integral flux of ~2x10^{-11}…
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