PoS - Proceedings of Science
Volume 301 - 35th International Cosmic Ray Conference (ICRC2017) - Session Solar & Heliospheric. SH-Instrumentation
Development of a pattern recognition algorithm for particle identification on the SciCRT in the Sierra Negra Volcano Summit
R. García Gínez,* J.F. Valdes-Galicia, M.A. Anzorena Méndez, E. Ortiz, L.X. Gónzalez, O. Musalem, A. Hurtado, M. Barrantes, R. Taylor, Y. Matsubara, Y. Sasai, Y. Itow, T. Sako, T. Kawabata, A. Tsuchiya, K. Munakata, C. Kato, Y. Nakamura, T. Oshima, T. Koike, S. Shibata, A. Oshima, H. Takamaru, H. Kojima, H. Tsuchiya, K. Watanabe, M. Kozai, T. Koi
*corresponding author
Full text: pdf
Pre-published on: August 16, 2017
Published on: August 03, 2018
Abstract
At the top of the Sierra Negra volcano in eastern México($19.0^\circ$N,$97.3^\circ$W) the SciBar Cosmic Ray Telescope (SciCRT) is installed, one of its main purposes is to detect solar neutrons 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 these properties, species identification of secondary cosmic ray inside the Earth's atmosphere, at a depth about $600g/cm^2$ is possible.
In this work, we present an ad-hoc algorithm constructed to distinguish between particle species that cross the active volume of the detector. The aim is to use pattern recognition methods and event reconstruction to achieve this goal.
DOI: https://doi.org/10.22323/1.301.0052
How to cite

Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in "proceeding" format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.