Search for <i>γ</i>-ray emission from supernova remnants in the Large Magellanic Cloud: A new cluster analysis at energies above 4 GeV

Context. A search for γ -ray emission from supernova remnants (SNRs) in the Large Magellanic Cloud (LMC) based on the detection of concentrations in the arrival direction Fermi -LAT images of photons at energies higher than 10 GeV found significant evidence for nine sources. This analysis was based on data collected in the time window from August 4, 2008, to August 4, 2020 (12 years). Aims. In the present contribution, we report the results of a new search extended using a 15-year long (up to August 4, 2023) dataset and to a broad energy range (higher than 4 GeV). The longer baseline and the softer energy lower limit are required to further understand the relation between the X-ray and gamma ray SNRs in the LMC and to investigate the completeness of the sample at low luminosities. Methods. Two different methods of clustering analysis were applied: minimum spanning tree (MST) and a combination of density-based spatial clustering of applications with noise (DBSCAN) and DENsity-based CLUstEring (DENCLUE) algorithms. Results. We confirm all previous detections and found positive indications for at least eight new clusters with a spatial correspondence with other SNRs, thus increasing the number of candidate remnants in the LMC or detected in the high-energy γ -rays to 16 sources. Conclusions. This study extends previous analyses of γ -ray emission from SNRs in the LMC by incorporating a longer observational baseline and a broader energy range. The improved dataset and advanced clustering techniques enhance our understanding of the connection between X-ray and γ -ray SNRs, providing new insights into their high-energy properties and contributing to the assessment of the completeness of the sample at lower luminosities.

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Publication Details

Journal
Astronomy and Astrophysics
Published
2025-04-17
DOI
https://doi.org/10.1051/0004-6361/202553665
Citations
2
Primary Topic
Astrophysics and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
3.74

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article

Search for γ-ray emission from supernova remnants in the Large Magellanic Cloud: A new cluster analysis at energies above 4 GeV

A. Tramacere, S. Orlando, R. Campana, E. Massaro et al.
2 citations
Astronomy and Astrophysics
Astrophysics and Cosmic Phenomena
3.74
article

Search for γ-ray emission from supernova remnants in the Large Magellanic Cloud: A new cluster analysis at energies above 4 GeV

A. Tramacere, S. Orlando, R. Campana, E. Massaro, M. Miceli, F. Bocchino
article en
2 citations

Abstract

Context. A search for γ -ray emission from supernova remnants (SNRs) in the Large Magellanic Cloud (LMC) based on the detection of concentrations in the arrival direction Fermi -LAT images of photons at energies higher than 10 GeV found significant evidence for nine sources. This analysis was based on data collected in the time window from August 4, 2008, to August 4, 2020 (12 years). Aims. In the present contribution, we report the results of a new search extended using a 15-year long (up to August 4, 2023) dataset and to a broad energy range (higher than 4 GeV). The longer baseline and the softer energy lower limit are required to further understand the relation between the X-ray and gamma ray SNRs in the LMC and to investigate the completeness of the sample at low luminosities. Methods. Two different methods of clustering analysis were applied: minimum spanning tree (MST) and a combination of density-based spatial clustering of applications with noise (DBSCAN) and DENsity-based CLUstEring (DENCLUE) algorithms. Results. We confirm all previous detections and found positive indications for at least eight new clusters with a spatial correspondence with other SNRs, thus increasing the number of candidate remnants in the LMC or detected in the high-energy γ -rays to 16 sources. Conclusions. This study extends previous analyses of γ -ray emission from SNRs in the LMC by incorporating a longer observational baseline and a broader energy range. The improved dataset and advanced clustering techniques enhance our understanding of the connection between X-ray and γ -ray SNRs, providing new insights into their high-energy properties and contributing to the assessment of the completeness of the sample at lower luminosities.

Astronomy and AstrophysicsVol. 697
European Commission
Openalex Percentile: Top 8%
Astrophysics and Cosmic Phenomena
3.74
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