Feature Extraction Methods in JEM-EUSO Experiment

Michal Vrabel,Jan Genci,Jozef Vasilko,Pavol Bobik,Blahoslav Pastircak,Marian Putis

PROCEEDINGS OF THE 2015 FEDERATED CONFERENCE ON SOFTWARE DEVELOPMENT AND OBJECT TECHNOLOGIES（2017）

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摘要

The article summarizes activities and results regarding pattern recognition for the JEM-EUSO experiment done by Slovak group of JEM-EUSO collaboration. The activities include estimation of trigger probability of false positives and reconstruction of simulated UHECR showers in UV background using Euso Simulation and Analysis Framework (ESAF). The Hough transform-based techniques are presented as methods to find UHCER showers in the JEM-EUSO detector recorded data. Additionally, the article describes structure and data flow of the framework.

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关键词

Pattern Recognition Method, Abstract Class, Focal Surface, Hough Space, Accumulator Matrix

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