Felix Schlűter (Avtor), Andrej Filipčič (Avtor), J. P. Lundquist (Avtor), Samo Stanič (Avtor), Serguei Vorobiov (Avtor), Danilo Zavrtanik (Avtor), Marko Zavrtanik (Avtor), Lukas Zehrer (Avtor)

Povzetek

The AugerPrime Radio Detector will significantly increase the sky coverage of mass-sensitive measurements of ultra-high energy cosmic rays with the Pierre Auger Observatory. The detection of highly inclined air showers with the world’s largest 3000km^2 radio-antenna array in coincidence with the Auger water-Cherenkov detector provides a clean separation of the electromagnetic and muonic shower components. The combination of these highly complementary measurements yields a strong sensitivity to the mass composition of cosmic rays. We will present the first results of an end-to-end simulation study of the performance of the AugerPrime Radio Detector. The study features a complete description of the AugerPrime radio antennas and reconstruction of the properties of inclined air showers, in particular the electromagnetic energy. The performance is evaluated utilizing a comprehensive set of simulated air showers together with recorded background. The estimation of an energy- and direction-dependent aperture yields an estimation of the expected 10-year event statistics. The potential to measure the number of muons in air showers with the achieved statistics is outlined. Based on the achieved energy resolution, the potential to discriminate between different cosmic-ray primaries is presented.

Ključne besede

Pierre Auger Observatory;AugerPrime;indirect detection;radio detection;radio antenna array;ultra-high energy;cosmic rays;air-shower muons;composition;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija: UNG - Univerza v Novi Gorici
UDK: 539.1
COBISS: 167019779 Povezava se bo odprla v novem oknu
ISSN: 1824-8039
Št. ogledov: 25
Št. prenosov: 0
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Vrsta dela (COBISS): Delo ni kategorizirano
Strani: str. 1-12
Čas izdaje: 2022
DOI: 10.22323/1.395.0262
ID: 20033966
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