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1.
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: 3656; Downloads: 113
.pdf Full text (1,59 MB)

2.
Improving Particle Identification with Resistant Track Finding for the ISS-CREAM Calorimeter
Jon Paul Lundquist, published scientific conference contribution abstract

Abstract: Moving from Antarctic balloons to the International Space Station the Cosmic Ray Energetics And Mass detector (ISS-CREAM) has begun taking the highest energy direct measurements of cosmic ray (CR) particles ever attempted. ISS-CREAM will investigate how the energy distributions evolve, for protons all the way to iron nuclei, and will provide important information for models of galactic sources and CR propagation. The CR particle identification can be significantly improved by tracking particle-detector interactions from the calorimeter (for energy measurement) back to the Silicon Charge Detector for atomic number determination. A track finding algorithm resistant to such issues as particle multiplicity, backscatter, and noise is outlined.
Keywords: cosmic rays, high energy, track finding
Published in RUNG: 28.04.2020; Views: 3932; Downloads: 0
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