Search for 10TeV gamma-ray emission from Supernova Remnants and Active Galactic Nuclei
Zhang JL(张吉龙); Ding LK(丁林恺); Wang H(王辉); Lu H(卢红); Liu SM(刘绍敏); Ren JR(任敬儒); Xu XW(许贤武); Zhang CS(张春生); Zhang HM(张慧敏); Shi ZZ(施志政)
刊名HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION
1999
卷号23期号:1页码:#REF!
关键词extensive air shower gamma-ray sources supernova remnant active galactic nuclei
其他题名超新星遗迹和活动星系核10TeV γ射线发射的实验探索
通讯作者Zhang, JL (reprint author), Chinese Acad Sci, Inst High Energy Phys, Lab Cosm Rays & High Energy Astrophys, Beijing 100039, Peoples R China.
英文摘要A search for 10Tev gamma-ray continuous emission from 58 Supernova Remnants which include Crab Nebula and 25 Active Galactic Nuclei which include Mrk421 and Mrk501 with the data of Tibet I air shower array from 1990 June to 1993 October is executed by the method of equi-zenith angle to estimate the background events. The significance of DC excess is calculated according to the Li and Ma prescription. No significant DC excess is observed from these candidates. The integral distribution of significances is checked by the Kolmogorov-Smirnov test which examines the divergence from a standard normal distribution. No significant deviation is found. Flux upper limit is obtained for each source at 95% C.L.
学科主题Physics
类目[WOS]Physics, Nuclear ; Physics, Particles & Fields
收录类别SCI
WOS记录号WOS:000080335900004
公开日期2016-05-03
内容类型期刊论文
源URL[http://ir.ihep.ac.cn/handle/311005/225551]  
专题高能物理研究所_粒子天体物理中心
推荐引用方式
GB/T 7714
Zhang JL,Ding LK,Wang H,et al. Search for 10TeV gamma-ray emission from Supernova Remnants and Active Galactic Nuclei[J]. HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION,1999,23(1):#REF!.
APA 张吉龙.,丁林恺.,王辉.,卢红.,刘绍敏.,...&Huo, AX.(1999).Search for 10TeV gamma-ray emission from Supernova Remnants and Active Galactic Nuclei.HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION,23(1),#REF!.
MLA 张吉龙,et al."Search for 10TeV gamma-ray emission from Supernova Remnants and Active Galactic Nuclei".HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION 23.1(1999):#REF!.
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