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Improving the Composition of Ultra High Energy Cosmic Rays with Ground Detector Data

Authors :
Bortolato, Blaž
Kamenik, Jernej F.
Tammaro, Michele
Bortolato, Blaž
Kamenik, Jernej F.
Tammaro, Michele
Publication Year :
2023

Abstract

We show that the maximum shower depth distributions of Ultra-High Energy Cosmic Rays (UHECRs), as measured by fluorescence telescopes, can be augmented by building a mapping to observables collected by surface detectors. The resulting statistical improvement of such augmented dataset depends in a universal way on the strength of the correlation exhibited by the mapping. Building upon the publicly available data on "golden hybrid" events from the Pierre Auger Observatory we project possible improvements in the inferred composition of UHECRs for a range of possible mappings with varying correlation strengths.<br />Comment: 8 pages, 6 figures, method corrected

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1405312023
Document Type :
Electronic Resource