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ANALYSIS METHODS AND RESULTS OF A SEARCH FOR WEAK GAMMA-RAY BURSTS IN THE BATSE DATA

机译:BATSE数据中弱伽马射线暴搜索的分析方法和结果

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摘要

We report initial results on the statistical properties of the dimmest gamma-ray bursts (GRBs) observed with the Burst and Transient Source Experiment (BATSE), using new ground-based methods to obtain a sample of GRBs from 502 days of BATSE data. Using the most sensitive ground-based detection of GRBs, the sample extends to GRBs much fainter than those detected by the onboard trigger, but because of the temporal resolution of the data, the sample is limited to GRBs of duration of at least 2 s. For each detected event, Bayesian probabilities are calculated for the event to belong to each of seven classes of differing physical origins. The sample of GRB candidates is defined by the requirement that the Bayesian probability for belonging to the GRB class is higher than 0.5. The intensity distribution of the GRB sample is corrected using a Monte Carlo simulation of the postflight detection efficiency. The sky distribution of the dimmest BATSE bursts is consistent with isotropy. The dimmest bursts are softer than the brightest triggered bursts.
机译:我们报告了突发和瞬态源实验(BATSE)观测到的最暗伽玛射线暴(GRB)的统计特性的初步结果,并使用了新的地面方法从502天的BATSE数据中获取了GRB的样本。使用基于GRB的最敏感的基于地面的检测,样本扩展到GRB的范围比板载触发器检测到的样本要模糊得多,但是由于数据的时间分辨率,样本被限制为持续时间至少为2 s的GRB。对于每个检测到的事件,将为该事件计算属于不同物理起源的七个类别中的每个类别的贝叶斯概率。 GRB候选样本的定义是要求属于GRB类的贝叶斯概率大于0.5。 GRB样本的强度分布使用飞行后检测效率的蒙特卡洛模拟进行校正。最暗的BATSE爆发的天空分布与各向同性一致。最暗的突发比最亮的触发突发更柔和。

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