Application of the MST clustering to the high energy gamma-ray sky. III - New detections of gamma-ray emission from blazars

TL;DR

This paper reports the discovery of 25 new gamma-ray emitting blazars using MST clustering on Fermi-LAT data above 10 GeV, expanding the catalog of known gamma-ray sources.

Contribution

It introduces a novel application of the MST clustering algorithm to identify previously unknown gamma-ray blazars in high-energy sky data.

Findings

Identified 25 new gamma-ray blazar sources.

Demonstrated effectiveness of MST clustering in high-energy gamma-ray source detection.

Expanded the catalog of gamma-ray emitting blazars.

Abstract

We present the results of a photon cluster search in the gamma-ray sky observed by the Fermi Large Area Telescope, using the new Pass 8 dataset, at energies higher than 10 GeV. By means of the Minimum Spanning Tree (MST) algorithm, we found 25 clusters associated with catalogued blazars not previously known as gamma-ray emitters. The properties of these sources are discussed.