New γ-Ray Sources Identified in All-sky Surveys Based on Fermipy's Advanced Algorithm

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外文摘要：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 into 72 regions,thereby greatly enhancing the efficiency of discovering new sources throughout the sky through multi-threaded 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.

外文关键词：

gamma-raysdiffuse background-methodsdata analysis-catalogs-gamma-raysgeneral

作者：

Yunchuan Xiang、Peng Feng、Xiaofei Lan

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作者单位：

School of Physics and Astronomy,China West Normal University,Nanchong 637009,China

Department of Astronomy,Yunnan University,and Key Laboratory of Astroparticle Physics of Yunnan Province,Kunming 650091,China

基金：

Natural Science Foundation Youth Program of Sichuan ProvinceDoctoral Initiation Fund of West China Normal UniversityOpen Fund of Key Laboratory of Astroparticle Physics of Yunnan ProvinceSichuan Youth Science and Technology Innovation Research TeamNational Natural Science Foundation of China(NSFC)

项目编号：

2023NSFSC135022kE0402022Zibian321CXTD003812303048

出版年：

2024

DOI：

10.1088/1674-4527/ad76ed

天文和天体物理学研究

中国科学院国家天文台

天文和天体物理学研究

CSTPCD

影响因子：0.406

ISSN：1674-4527

年,卷(期)：2024.24(10)