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Feature Extraction Methods in JEM-EUSO Experiment

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Proceedings of the 2015 Federated Conference on Software Development and Object Technologies (SDOT 2015)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 511))

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Abstract

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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Notes

  1. 1.

    A slash between numbers in Table 1 separates numbers after and before additional analysis. Higher background analysis for \( \theta_{truth} = 30^{ \circ } \) uses the first numbers. Other angles use second numbers.

References

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Acknowledgment

The paper was supported by KEGA grant 062TUKE 4/2013, granted by the Cultural and Education Grant Agency of the Slovak Ministry of Education.

This work was partially supported by Basic Science Interdisciplinary Research Projects of RIKEN and JSPS KAKENHI Grant (22340063, 23340081, and 24244042), by the Italian Ministry of Foreign Affairs and International Cooperation, by the ‘Helmholtz Alliance for Astroparticle Physics HAP’ funded by the Initiative and Networking Fund of the Helmholtz Association, Germany, and by Slovak Academy of Sciences MVTS JEM-EUSO as well as VEGA grant agency project 2/0076/13. Russia is supported by the Russian Foundation for Basic Research Grant No 13-02-12175-ofi-m. The Spanish Consortium involved in the JEM-EUSO Space Mission is funded by MICINN & MINECO under the Space Program projects: AYA2009-06037-E/AYA, AYA-ESP2010-19082, AYA-ESP2011-29489-C03, AYA-ESP2012-39115-C03, AYA-ESP2013-47816-C4, MINECO/FEDER-UNAH13-4E-2741, CSD2009-00064 (Consolider MULTIDARK) and by Comunidad de Madrid (CAM) under projects S2009/ESP-1496 & S2013/ICE-2822.

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Authors and Affiliations

  1. Faculty of Electrical Engineering and Information Technologies, Technical University of Kosice, Kosice, Slovakia

    Michal Vrabel, Jan Genci & Jozef Vasilko

  2. JEM-EUSO Collaboration Institute of Experimental Physics, Slovak Academy of Sciences, Kosice, Slovakia

    Pavol Bobık, Blahoslav Pastircak & Marian Putis

Authors
  1. Michal Vrabel
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  2. Jan Genci
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  3. Jozef Vasilko
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  4. Pavol Bobık
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  5. Blahoslav Pastircak
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  6. Marian Putis
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Corresponding author

Correspondence to Michal Vrabel .

Editor information

Editors and Affiliations

  1. Faculty of Management Science and Informatics, University of Zilina, Zilina, Slovakia

    Jan Janech

  2. Faculty of Management Science and Informatics, University of Zilina, Zilina, Slovakia

    Jozef Kostolny

  3. Institute of Metrology, Electronics, Zielona Góra, Poland

    Tomasz Gratkowski

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Vrabel, M., Genci, J., Vasilko, J., Bobık, P., Pastircak, B., Putis, M. (2017). Feature Extraction Methods in JEM-EUSO Experiment. In: Janech, J., Kostolny, J., Gratkowski, T. (eds) Proceedings of the 2015 Federated Conference on Software Development and Object Technologies. SDOT 2015. Advances in Intelligent Systems and Computing, vol 511. Springer, Cham. https://doi.org/10.1007/978-3-319-46535-7_27

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  • DOI: https://doi.org/10.1007/978-3-319-46535-7_27

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  • Print ISBN: 978-3-319-46534-0

  • Online ISBN: 978-3-319-46535-7

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