Pith. sign in

REVIEW 1 cited by

Unresolved Gamma-Ray Sky through its Angular Power Spectrum

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1812.02079 v4 pith:PKSCNNR3 submitted 2018-12-05 astro-ph.HE astro-ph.COhep-ph

classification astro-ph.HEastro-ph.COhep-ph
keywords ugrbangulargamma-raypowersourcesspectrumunresolvedfermi
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
abstract

The gamma-ray sky has been observed with unprecedented accuracy in the last decade by the Fermi large area telescope (LAT), allowing us to resolve and understand the high-energy Universe. The nature of the remaining unresolved emission (unresolved gamma-ray background, UGRB) below the LAT source detection threshold can be uncovered by characterizing the amplitude and angular scale of the UGRB fluctuation field. This work presents a measurement of the UGRB autocorrelation angular power spectrum based on eight years of Fermi LAT Pass 8 data products. The analysis is designed to be robust against contamination from resolved sources and noise systematics. The sensitivity to subthreshold sources is greatly enhanced with respect to previous measurements. We find evidence (with $\sim$3.7$\sigma$ significance) that the scenario in which two classes of sources contribute to the UGRB signal is favored over a single class. A double power law with exponential cutoff can explain the anisotropy energy spectrum well, with photon indices of the two populations being 2.55 $\pm$ 0.23 and 1.86 $\pm$ 0.15.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A robust neural determination of the source-count distribution of the Fermi-LAT sky at high latitudes

    astro-ph.HE 2025-05 conditional novelty 6.0 of 10

    A neural simulation-based inference pipeline applied to 14 years of Fermi-LAT data recovers 98% of bright 4FGL sources, reconstructs the high-latitude source-count distribution in parametric and non-parametric form, a...

Pith tools