A Self-Consistent Model of the Ultra High-Energy Gamma-Ray Emission of Pulsar Wind Nebulae: Insights from LHAASO and ATNF Catalogs
Samy Kaci, Gwenael Giacinti, Dmitri Semikoz

TL;DR
This paper develops a self-consistent, data-driven model of ultra-high-energy gamma-ray emission from pulsar wind nebulae, integrating catalogs and statistical methods to better understand their contribution to galactic gamma-ray backgrounds.
Contribution
It introduces a novel self-consistent model that links ATNF and LHAASO catalogs, incorporating censored regression to account for unresolved sources and improve emission estimates.
Findings
Reproduces the number of LHAASO-detected PWNe with specific pulsar misalignment fractions.
Suggests most unidentified LHAASO sources are likely PWNe with unseen pulsars.
Finds unresolved PWNe contribute less than 10-30% to the gamma-ray background.
Abstract
Pulsar wind nebulae (PWNe) are the dominant Ultra-high-energy (UHE) gamma-ray sources in the LHAASO catalog suggesting that they are the dominant leptonic PeVatrons in our Galaxy. Despite this, still very little is known about their UHE gamma-ray emission, their number in the Galaxy, or their contribution to the gamma-ray emission of our Galaxy. In this work, we propose a self-consistent data-driven model of the UHE gamma-ray emission of PWNe based on the ATNF and LHAASO catalogs. More specifically, we build a model of the UHE gamma-ray emission of PWNe that preserves the statistical relationships in the ATNF catalog and reproduces the number of PWNe detected in the LHAASO catalog. To cope with the limited data available in the LHAASO catalog when performing fits on gamma-ray data, we introduce the concept of censored regression that allows to also use the information provided by…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Astrophysics and Cosmic Phenomena · Earth Systems and Cosmic Evolution
