A MST algorithm for source detection in γ-ray images

Details A MST algorithm for source detection in γ-ray images A MST algorithm for source detection in γ-ray images

Jul 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aipc..921..536c&link_type=abstract

THE FIRST GLAST SYMPOSIUM. AIP Conference Proceedings, Volume 921, pp. 536-537 (2007).

Statistics

Applications

Image Processing, X- And Gamma-Ray Telescopes And Instrumentation, Gamma-Ray Sources, Gamma-Ray Bursts

Scientific paper

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.

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