On the Clustering Bias of Unresolved Gamma-Ray Sources
astro-ph.CO, astro-ph.HE
Submitted: 2026-09-16
Updated: 2026-09-16
Comments: 8 pages, 9 figures
License: http://creativecommons.org/licenses/by/4.0/
The gist: The Unresolved γ-Ray Background (UGRB) encodes the collective emission of source populations that are too faint to be detected individually, and its cross-correlation with tracers of the large-scale
Terminology
Abstract
The Unresolved γ-Ray Background (UGRB) encodes the collective emission of source populations that are too faint to be detected individually, and its cross-correlation with tracers of the large-scale structure has emerged as a powerful tool to characterize those populations. In this work, we analyze the weak-lensing--UGRB cross-correlation using a reference blazar model. By modeling the relation between blazar γ-ray luminosity and host-halo mass, we infer the average linear bias b(z) and host-halo mass M(z) of the unresolved blazar population. We find that the signal is dominated by moderately biased sources, with b 2 at z 1, hosted by halos with M about O(10 13,M). Repeating the analysis with a misaligned-AGN model yields consistent bias values, indicating that the result is determined by the clustering properties of the UGRB rather than by the details of the γ-ray source model.
Sources
- Particle dark matter searches in the anisotropic sky
- Characterizing the local gamma-ray Universe via angular cross-correlations
- Dark Matter and Galaxy Cross-Correlations with the Cherenkov Telescope Array Observatory
- Tomography of the gamma-ray sky from cross-correlation with DESI DR2 and unWISE galaxies
- Detection of cross-correlation between gravitational lensing and gamma rays
- Constraints on Annihilating Dark Matter from Gamma-Ray Background-Galaxy Shape Correlations: Model-independent Null Results and Moderate Template-based Signals
- Unresolved Gamma-Ray Sky through its Angular Power Spectrum
- Dark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing
- Modeling the Extragalactic Background Light from Stars and Dust
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