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作 者:Yunchuan Xiang Peng Feng Xiaofei Lan
机构地区:[1]School of Physics and Astronomy,China West Normal University,Nanchong 637009,China [2]Department of Astronomy,Yunnan University,and Key Laboratory of Astroparticle Physics of Yunnan Province,Kunming 650091,China
出 处:《Research in Astronomy and Astrophysics》2024年第10期81-91,共11页天文和天体物理学研究(英文版)
基 金:the Natural Science Foundation Youth Program of Sichuan Province(2023NSFSC1350);the Doctoral Initiation Fund of West China Normal University(22kE040);the Open Fund of Key Laboratory of Astroparticle Physics of Yunnan Province(2022Zibian3);the Sichuan Youth Science and Technology Innovation Research Team(21CXTD0038);the National Natural Science Foundation of China(NSFC,Grant No.12303048)。
摘 要:We employ an efficient method for identifying γ-ray sources across the entire sky,leveraging advanced algorithms from Fermipy,and cleverly utilizing the Galactic diffuse background emission model to partition the entire sky into72 regions,thereby greatly enhancing the efficiency of discovering new sources throughout the sky through multithreaded parallel computing.After confirming the reliability of the new method,we applied it for the first time to analyze data from the Fermi Large Area Telescope(Fermi-LAT)encompassing approximately 15.41 yr of all-sky surveys.Through this analysis,we successfully identified 1379 new sources with significance levels exceeding 4σ,of which 497 sources exhibited higher significance levels exceeding 5σ.Subsequently,we performed a systematic analysis of the spatial extension,spectra,and light variation characteristics of these newly identified sources.We identified 21 extended sources and 23 sources exhibiting spectral curvature above 10 GeV.Additionally,we identified 44 variable sources above 1 GeV.
关 键 词:gamma-rays:diffuse background methods:data analysis catalogs gamma-rays:general
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