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1.
Search for ultra-high-energy neutrinos with the Telescope Array surface detector
R. U. Abbasi, Mitsuhiro Abe, T. Abu-Zayyad, M. Allen, R. Azuma, E. Barcikowski, J. W. Belz, Douglas R. Bergman, S. A. Blake, Jon Paul Lundquist, 2020, original scientific article

Abstract: We present an upper limit on the flux of ultra-high-energy down-going neutrinos for E > 10^18 eV derived with the nine years of data collected by the Telescope Array surface detector (05-11-2008– 05-10-2017). The method is based on the multivariate analysis technique, so-called Boosted Decision Trees (BDT). Proton-neutrino classifier is built upon 16 observables related to both the properties of the shower front and the lateral distribution function.
Keywords: neutrinos, pattern recognition, UHECR, cosmic rays
Published in RUNG: 29.04.2020; Views: 4419; Downloads: 77
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2.
Cosmic Ray Shower Profile Track Finding for Telescope Array Fluorescence Detectors
Jon Paul Lundquist, 2016, published scientific conference contribution

Abstract: A simple cosmic ray track finding pattern recognition analysis (PRA) method for fluorescence detectors (FD) has been developed which significantly improves Xmax resolution and its dependence on energy. Events which have a clear rise and fall in the FD view contain information on Xmax that can be reliably reconstructed. Shower maximum must be extrapolated for events with Xmax outside the field of view of the detector, which creates a systematic dependence on the fitting function. The PRA method is a model and detector independent approach to removing these events, by fitting shower profiles to a set of triangles and applying limits on the allowable geometry.
Keywords: UHECR, cosmic rays, fluorescence detector, track finding, pattern recognition
Published in RUNG: 29.04.2020; Views: 4204; Downloads: 117
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