Identification of Gamma-Ray Point Sources in Fermi-LAT Data with Minimum Spanning Tree Algorithm

Gamma rays are the most energetic photons in the electromagnetic spectrum, detected with ground-based and space-based detectors in different energy ranges from sources in our galaxy and beyond. Gamma-ray point sources can be identified by special clustering of these photons. The minimum spanning tre...

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Main Authors: Mehran Soor, Fatemeh Akhondi, Hadi Hedayati
Format: Article
Language:English
Published: Damghan university 2023-12-01
Series:Iranian Journal of Astronomy and Astrophysics
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Online Access:https://ijaa.du.ac.ir/article_385_9e13b5118e28445c89addefd40f41ca2.pdf
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author Mehran Soor
Fatemeh Akhondi
Hadi Hedayati
author_facet Mehran Soor
Fatemeh Akhondi
Hadi Hedayati
author_sort Mehran Soor
collection DOAJ
description Gamma rays are the most energetic photons in the electromagnetic spectrum, detected with ground-based and space-based detectors in different energy ranges from sources in our galaxy and beyond. Gamma-ray point sources can be identified by special clustering of these photons. The minimum spanning tree (MST) algorithm is a graph-based method in order to find clusters. In this paper, we use the MST algorithm for finding point sources in Fermi gamma-ray space telescope data which is sensitive to photons with energies of 20 MeV up to more than 300 GeV. To this end, we selected eight completely random (10°×10°) fields of Fermi gamma-ray sky and tested the algorithm on the 12-year Fermi-LAT sky (Pass 8) at energy ranges above 3 GeV and above 6 GeV and with different cluster selection criteria. The calculation of Precision and Recall for both fields shows that MST is a useful algorithm in order to identify the point.
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spelling doaj-art-19d42b6ddc2e4e6d9ee3d5595e7c1e452025-01-12T10:03:51ZengDamghan universityIranian Journal of Astronomy and Astrophysics2322-49242383-403X2023-12-0110432733410.22128/ijaa.2023.736.1170385Identification of Gamma-Ray Point Sources in Fermi-LAT Data with Minimum Spanning Tree AlgorithmMehran Soor0Fatemeh Akhondi1Hadi Hedayati2Department of Physics, K.N. Toosi University of Technology, Tehran, IranDepartment of Physics, K.N Toosi University of Technology, 4 P.O. Box 15875-4416, Tehran, IranDepartment of Physics, K.N. Toosi University of Technology, Tehran, IranGamma rays are the most energetic photons in the electromagnetic spectrum, detected with ground-based and space-based detectors in different energy ranges from sources in our galaxy and beyond. Gamma-ray point sources can be identified by special clustering of these photons. The minimum spanning tree (MST) algorithm is a graph-based method in order to find clusters. In this paper, we use the MST algorithm for finding point sources in Fermi gamma-ray space telescope data which is sensitive to photons with energies of 20 MeV up to more than 300 GeV. To this end, we selected eight completely random (10°×10°) fields of Fermi gamma-ray sky and tested the algorithm on the 12-year Fermi-LAT sky (Pass 8) at energy ranges above 3 GeV and above 6 GeV and with different cluster selection criteria. The calculation of Precision and Recall for both fields shows that MST is a useful algorithm in order to identify the point.https://ijaa.du.ac.ir/article_385_9e13b5118e28445c89addefd40f41ca2.pdfastronomy data analysisclusteringgamma-ray sources
spellingShingle Mehran Soor
Fatemeh Akhondi
Hadi Hedayati
Identification of Gamma-Ray Point Sources in Fermi-LAT Data with Minimum Spanning Tree Algorithm
Iranian Journal of Astronomy and Astrophysics
astronomy data analysis
clustering
gamma-ray sources
title Identification of Gamma-Ray Point Sources in Fermi-LAT Data with Minimum Spanning Tree Algorithm
title_full Identification of Gamma-Ray Point Sources in Fermi-LAT Data with Minimum Spanning Tree Algorithm
title_fullStr Identification of Gamma-Ray Point Sources in Fermi-LAT Data with Minimum Spanning Tree Algorithm
title_full_unstemmed Identification of Gamma-Ray Point Sources in Fermi-LAT Data with Minimum Spanning Tree Algorithm
title_short Identification of Gamma-Ray Point Sources in Fermi-LAT Data with Minimum Spanning Tree Algorithm
title_sort identification of gamma ray point sources in fermi lat data with minimum spanning tree algorithm
topic astronomy data analysis
clustering
gamma-ray sources
url https://ijaa.du.ac.ir/article_385_9e13b5118e28445c89addefd40f41ca2.pdf
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AT fatemehakhondi identificationofgammaraypointsourcesinfermilatdatawithminimumspanningtreealgorithm
AT hadihedayati identificationofgammaraypointsourcesinfermilatdatawithminimumspanningtreealgorithm