A MST algorithm for source detection in γ‐ray images
A MST algorithm for source detection in γ‐ray images
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DOI：
10.1063/1.2757439
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发表时间：
2007-07
期刊：
影响因子：
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通讯作者：
R. Campana;E. Massaro;D. Gasparrini;S. Cutini;A. Tramacere
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文献类型：
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作者：
R. Campana;E. Massaro;D. Gasparrini;S. Cutini;A. Tramacere
最小生成树 (MST) 算法是一种在给定点集中查找簇的图论方法。我们将 MST 应用于伽马射线二维图像，并将可能的源与光子到达方向聚集的区域相关联。包含用于选择簇的附加过滤器，以减少虚假检测。我们提出了一些模拟 GLAST 数据的应用。
The Minimal Spanning Tree (MST) algorithm is a graph‐theoretical method of finding clusters in a given set of points. We apply MST to gamma‐ray bidimensional images and associate possible sources with the regions where photons’ arrival directions clusterize. Additional filters to select clusters are included to reduce spurious detections. We present some applications to simulated GLAST data.