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寻找BATSEγ暴的TeV能区伴随γ暴
引用本文:周勋秀,贾焕玉,黄庆,焦善庆. 寻找BATSEγ暴的TeV能区伴随γ暴[J]. 原子核物理评论, 2005, 22(3): 251-253. DOI: 10.11804/NuclPhysRev.22.03.251
作者姓名:周勋秀  贾焕玉  黄庆  焦善庆
作者单位:西南交通大学理学院,四川成都610031
基金项目:国家自然科学基金资助项目(19635010);西南交通大学基础科学研究基金资助项目
摘    要:利用西藏ASγ实验三期阵列的重建数据,对25个BATSEγ暴的TeV能区伴随γ暴进行了符合寻找。在BATSEγ暴方向的90%误差范围内,找出在给定的小天区和时间间隔内出现的显著性较高的TeV事例团,并采用“等天顶角方法”来估计背景。发现少量事例团对背景有明显超出,考虑试验次数后,其超出还不足以认定为γ暴。通过Monte Carlo模拟给出了95%置信水平下流强上限的估计值为7.1×10^-9photons/(cm^2·s)。Searching for TeV burst-like events coincident with the BATSE GRBs data was made by using the ASγ (Tibet-Ⅲ) data. In the period we analysed, there were 25 BATSE GRBs in the field view of Tibet. A search region was defined by the BATSE 90% confidence level positioning error. A GRB candidate was chosen as a shower cluster appearing in a given small sky window and a given time interval. An equi-zenith-angle method was used to estimate the background. No significant TeV GRBs were detected. The flux upper limit at the 95% confidence level was estimated to be about 7.1×10^-9 γ(cm^2·s) by Monte Carlo simulation.

关 键 词:宇宙射线   γ射线暴   TeV能区
文章编号:1007-4627(2005)03-0251-03
收稿时间:2004-10-22
修稿时间:2004-11-25

Searching for TeV Counterparts to BATSE GRBs
ZHOU Xun-xiu,JIA Huan-yu,HUANG Qing,JIAO Shan-qing. Searching for TeV Counterparts to BATSE GRBs[J]. Nuclear Physics Review, 2005, 22(3): 251-253. DOI: 10.11804/NuclPhysRev.22.03.251
Authors:ZHOU Xun-xiu  JIA Huan-yu  HUANG Qing  JIAO Shan-qing
Abstract:Searching for TeV burst-like events coincident with the BATSE GRBs data was made by using the ASγ (Tibet-Ⅲ) data. In the period we analysed, there were 25 BATSE GRBs in the field view of Tibet. A search region was defined by the BATSE 90% confidence level positioning error. A GRB candidate was chosen as a shower cluster appearing in a given small sky window and a given time interval. An equi-zenith-angle method was used to estimate the background. No significant TeV GRBs were detected. The flux upper limit at the 95% confidence level was estimated to be about 7.1×10^-9 γ(cm^2·s) by Monte Carlo simulation.
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