R&D studies at the Pierre Auger Observatory for a next generation ground-based ultra-high energy cosmic-ray experiment
Andreas Haungs (Avtor), Andrej Filipčič (Avtor), Gašper Kukec Mezek (Avtor), A. Saleh (Avtor), Samo Stanič (Avtor), M. Trini (Avtor), Darko Veberič (Avtor), Serguei Vorobiov (Avtor), Lili Yang (Avtor), Danilo Zavrtanik (Avtor), Marko Zavrtanik (Avtor)

Povzetek

The findings so far of the Pierre Auger Observatory and those of the Telescope Array define some requirements for a possible next generation global cosmic ray observatory: it needs to be considerably increased in size, it needs enhanced sensitivity to composition, and it has to cover the full sky. At the Pierre Auger Observatory, AugerNext aims to conduct some innovative initial research studies on a design of a sophisticated hybrid detector fulfilling these demands. Within a European supported ASPERA/APPEC (Astroparticle Physics European Consortium) project for the years 2011-2014, such R&D studies primarily focused on the following areas: i) consolidation of the detection of cosmic rays using MHz radio antennas; ii) proof- of-principle of cosmic ray microwave detection; iii) test of the large-scale application of new generation photo sensors; iv) generalization of data communication techniques; and v) development of new schemes for muon detection with surface arrays. The AugerNext Consortium consists of 14 principal investigators from 9 countries. This contribution summarizes some achievements of the R&D studies within the AugerNext project.

Ključne besede

ultra-high energy;cosmic-ray experiments;Telescope Array;development study;research study;Pierre Auger Observatory;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija: UNG - Univerza v Novi Gorici
UDK: 539.1
COBISS: 4156155 Povezava se bo odprla v novem oknu
ISSN: 1824-8039
Št. ogledov: 3931
Št. prenosov: 195
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

URN: URN:SI:UNG
Vrsta dela (COBISS): Delo ni kategorizirano
Strani: 8 str.
Čas izdaje: 2015
ID: 9128186