Speaker
Description
Timepix is a semiconductor single-particle-counting pixel detector developed by the Medipix2 Collaboration at CERN. Timepix can create images of the traces of recored particles. Each arriving particle leaves a separate trail on the detector due to the charge sharing effect. The radiation trace on a image provides useful information for identifying the recorded paticles as well as their paths. The aim of this study is to propose a cluster classification algorithm for separating and analyzing each cluster inside an image. First, the clusters are extracted separately using the algorithm based on the definition of a cluster: a group of adjacent pixels that is independent of other clusters. Next, cluster's morphology parameters (number of inner/border pixels, width, height, cluster area radius, maximum distance in clusters, and so on) are examined. Finally, all clusters were divided into the following groups based on their geometrical features: dot, small blob, curly track, heavy blob, heavy track, and straight track. This study presents a quick and efficient framework for analyzing Timepix silicon detector data.
| Minioral | Yes |
|---|---|
| IEEE Member | No |
| Are you a student? | Yes |
