Enregistré dans:
Détails bibliographiques
Auteurs principaux: Hoskinson, Chance, Kumar, Jason, Sandick, Pearl
Format: Preprint
Publié: 2026
Sujets:
Accès en ligne:https://arxiv.org/abs/2603.05457
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866908868599087104
author Hoskinson, Chance
Kumar, Jason
Sandick, Pearl
author_facet Hoskinson, Chance
Kumar, Jason
Sandick, Pearl
contents Indirect searches for dark matter using dwarf spheroidal galaxies are limited by systematic uncertainties in modeling diffuse gamma-ray backgrounds. We present a likelihood-based comparison of locally constructed empirical background models and theoretically-motivated models that incorporate the Fermi-LAT diffuse background. The empirical models we study include both an independent-binning approach and a covariance-based approach that captures cross-energy correlations. Using ensembles of blank-sky regions and information criteria which account for model complexity, we find that empirical background descriptions provide a statistically competitive fit to gamma-ray data on degree scales in high-latitude regions.
format Preprint
id arxiv_https___arxiv_org_abs_2603_05457
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A likelihood analysis for gamma-ray background models
Hoskinson, Chance
Kumar, Jason
Sandick, Pearl
High Energy Astrophysical Phenomena
High Energy Physics - Phenomenology
Indirect searches for dark matter using dwarf spheroidal galaxies are limited by systematic uncertainties in modeling diffuse gamma-ray backgrounds. We present a likelihood-based comparison of locally constructed empirical background models and theoretically-motivated models that incorporate the Fermi-LAT diffuse background. The empirical models we study include both an independent-binning approach and a covariance-based approach that captures cross-energy correlations. Using ensembles of blank-sky regions and information criteria which account for model complexity, we find that empirical background descriptions provide a statistically competitive fit to gamma-ray data on degree scales in high-latitude regions.
title A likelihood analysis for gamma-ray background models
topic High Energy Astrophysical Phenomena
High Energy Physics - Phenomenology
url https://arxiv.org/abs/2603.05457