Damghan University Press Iranian Journal of Astronomy and Astrophysics 2322-4924 10 4 2023 12 30 Identification of Gamma-Ray Point Sources in Fermi-LAT Data with Minimum Spanning Tree Algorithm 327 334 385 10.22128/ijaa.2023.736.1170 EN Mehran Soor Department of Physics, K.N. Toosi University of Technology, Tehran, Iran Fatemeh Akhondi Department of Physics, K.N Toosi University of Technology, 4 P.O. Box 15875-4416, Tehran, Iran Hadi Hedayati Department of Physics, K.N. Toosi University of Technology, Tehran, Iran Journal Article 2023 09 28 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. https://ijaa.du.ac.ir/article_385_9e13b5118e28445c89addefd40f41ca2.pdf