12-20 July 2017
BEXCO
Asia/Seoul timezone
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Contribution

BEXCO - Room F(201/202/203/204)

[SH112] Development of a pattern recognition algorithm for particle identification on the SciCRT

Speakers

  • Rocío GARCÍA

Primary authors

  • Rocío GARCÍA (Instituto de Geofísica, Universidad Nacional Autónoma de México, Mexico)

Co-authors

  • José Francisco VALDÉS-GALICIA (Instituto de Geofísica, Universidad Nacional Autónoma de México, Mexico)
  • Marcos Alfonso ANZORENA (Instituto de Geofísica, Universidad Nacional Autónoma de México, Mexico)
  • Ernesto ORTÍZ (Instituto de Geofísica, Universidad Nacional Autónoma de México, Mexico)
  • Octavio Felix MUSALEM (Instituto de Geofísica, Universidad Nacional Autónoma de México, Mexico)
  • Alejandro HURTADO (Instituto de Geofísica, Universidad Nacional Autónoma de México, Mexico)
  • Luis Xavier GONZÁLEZ (Instituto de Geofísica, Universidad Nacional Autónoma de México, Mexico)
  • Marco BARRANTES (Instituto de Geofísica, Universidad Nacional Autónoma de México, Mexico)
  • Roberto TAYLOR (Instituto de Geofísica, Universidad Nacional Autónoma de México, Mexico)
  • Yoshitaka ITOW (Institute for Space- Earth Environmental Research, Nagoya University, Japan)
  • Yutaka MATSUBARA (Institute for Space- Earth Environmental Research, Nagoya University, Japan)
  • Takashi SAKO (Institute for Space- Earth Environmental Research, Nagoya University, Japan)
  • Yoshinori SASAI (Institute for Space- Earth Environmental Research, Nagoya University, Japan)
  • Akira TSUCHIYA (Institute for Space- Earth Environmental Research, Nagoya University, Japan)
  • Tetsuya KAWABATA (Institute for Space- Earth Environmental Research, Nagoya University, Japan)
  • Kazuoki MUNAKATA (Department of Physics , Shinshu University, Japan)
  • Chihiro KATO (Department of Physics , Shinshu University, Japan)
  • Yoshiaki NAKAMURA (Department of Physics , Shinshu University, Japan)
  • Takahiro OSHIMA (Department of Physics , Shinshu University, Japan)
  • Toshiki KOIKE (Department of Physics , Shinshu University, Japan)
  • Shoichi SHIBATA (College of Engineering, Chubu University, Japan)
  • Hisanori TAKAMURA (College of Engineering, Chubu University, Japan)
  • Akitoshi OSHIMA (College of Engineering, Chubu University, Japan)
  • Hiroshi KOJIMA (Faculty of Engineering, Aichi Institute of Technology, Japan)
  • Kyoko WATANANABE (Department of Ear th and Ocean Sciences, School of Applied Sciences, National Defense Academy of Japan, Japan)
  • Harufumi TSUCHIYA (Japan Atomic Energy Agency, Japan)
  • Masayoshi KOZAI (Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, Japan)
  • Tatsumi KOI (SLAC National Accelerator Laboratory, USA)

Description

At the top of the Sierra Negra volcano in eastern Mexico(19.0°N, 97.3°W) the SciBar Cosmic Ray Telescope (SciCRT) has the main purpose to detect solar neutrons in order to investigate the ion acceleration process during intense solar flares. Furthermore, thanks to the design and construction of the SciCRT in the form of small and long scintillation bars, large active volume, high energy resolution, and a fast electronics for data processing, particle identification is possible through the analysis of tracks. Considering this properties, species identification of secondary cosmic ray inside Earth's atmosphere, at a depth about 600[g/cm²] is possible. In this work, we present an algorithm constructed ad-hoc to distinguish between particle species that cross the active volume of the detector. We use pattern recognition methods and event reconstruction to achieve this goal.