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首页> 外文期刊>The Astrophysical journal >A SYSTEMATIC AND QUANTITATIVE APPROACH TO THE IDENTIFICATION OF HIGH-ENERGY γ-RAY SOURCE POPULATIONS
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A SYSTEMATIC AND QUANTITATIVE APPROACH TO THE IDENTIFICATION OF HIGH-ENERGY γ-RAY SOURCE POPULATIONS

机译:高能γ射线源种群识别的系统和定量方法

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A large fraction of the detections to be made by the Gamma-Ray Large Area Space Telescope (GLAST) will initially be unidentified. We argue that traditional methodological approaches to identifying individuals and/or populations of γ-ray sources will encounter procedural limitations. These limitations will hamper our ability to classify source populations lying in the anticipated data set with the required degree of confidence, particularly those for which no member has yet been convincingly detected in the Energetic Gamma-Ray Experiment Telescope (EGRET) on the Compton Gamma Ray Observatory (CGRO). Here we suggest a new paradigm for achieving the classification of γ-ray source populations based on the implementation of an a priori protocol to search for theoretically motivated candidate sources. In order to protect the discovery potential of the sample, it is essential that such a paradigm be defined before the data are revealed. Key to the new procedure is a statistical assessment by which the discovery of a new population can be claimed. Although we explicitly refer here to the case of GLAST, the scheme we present may be adapted to other experiments that are confronted with a similar problematic.
机译:最初由伽马射线大面积空间望远镜(GLAST)进行的大部分探测将无法识别。我们认为,识别γ射线源的个体和/或种群的传统方法论方法将遇到程序限制。这些限制将妨碍我们以所需的置信度对预期数据集中的源种群进行分类的能力,特别是那些在康普顿伽马射线的高能伽马射线实验望远镜(EGRET)中尚未令人信服地检测到的那些种群天文台(CGRO)。在这里,我们提出了一种基于实现先验协议以搜索理论上有动机的候选源的,用于实现γ射线源总体分类的新范例。为了保护样本的发现潜力,必须在显示数据之前定义这种范例。新程序的关键是统计评估,可以据此要求发现新的种群。尽管我们在此明确提及GLAST的情况,但我们提出的方案可能适用于面临类似问题的其他实验。

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