Feature Extraction Methods in JEM-EUSO Experiment

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 Eus...

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Bibliographic Details
Published inProceedings of the 2015 Federated Conference on Software Development and Object Technologies Vol. 511; pp. 362 - 384
Main Authors Vrabel, Michal, Genci, Jan, Vasilko, Jozef, Bobık, Pavol, Pastircak, Blahoslav, Putis, Marian
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2016
Springer International Publishing
SeriesAdvances in Intelligent Systems and Computing
Subjects
Abstract Class
Accumulator Matrix
Artificial intelligence
Focal Surface
Hough Space
Pattern Recognition Method
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Summary: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.
ISBN:9783319465340
3319465341
ISSN:2194-5357
2194-5365
DOI:10.1007/978-3-319-46535-7_27