Work

Detection of Supernova Remnants in the Large Magellanic Cloud at GeV Energies by Means of Cluster Analysis

Year: 2025

Type: conference-paper

Abstract: We report the results of a new search using a 15-year long (up to August, 4 2023) Fermi-LAT data set at energies higher than 4 GeV for SNRs in the Large Magellanic Cloud, applying two clustering methods: the Minimum Spanning Tree (MST), and the combination of Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and DENsity-based CLUstEring (DENCLUE). We found positive indications for 8 new clusters with a spatial correspondence with SNRs, and increase the number of detected or candidate remnants in the high energy rays to 16 sources. These findings confirm the capability of clustering algorithms to extract local photon concentrations even in not uniform fields like the LMC and extend our knowledge on the relation between the X-ray and gamma-ray SNRs at low luminosities.

Source: International Cosmic Ray Conference

DOI: 10.22323/1.501.0591

Authors: Riccardo Campana, Andrea Tramacere, Enrico Massaro, Fabrizio Bocchino, Marco Miceli, Salvatore Orlando

Institutions: National Institute for Astrophysics, University of Geneva

Language: English

Topic: Astrophysics and Cosmic Phenomena

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4414451972

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