R. U. Abbasi (Avtor), Mitsuhiro Abe (Avtor), T. Abu-Zayyad (Avtor), M. Allen (Avtor), R. Azuma (Avtor), E. Barcikowski (Avtor), J. W. Belz (Avtor), D. R. Bergman (Avtor), S. A. Blake (Avtor), J. P. Lundquist (Avtor)

Povzetek

The Telescope Array (TA) observatory utilizes fluorescence detectors and surface detectors (SDs) to observe air showers produced by ultra high energy cosmic rays in Earth's atmosphere. Cosmic-ray events observed in this way are termed hybrid data. The depth of air shower maximum is related to the mass of the primary particle that generates the shower. This paper reports on shower maxima data collected over 8.5 yr using the Black Rock Mesa and Long Ridge fluorescence detectors in conjunction with the array of SDs. We compare the means and standard deviations of the observed Xmax distributions with Monte Carlo Xmax distributions of unmixed protons, helium, nitrogen, and iron, all generated using the QGSJet II-04 hadronic model. We also perform an unbinned maximum likelihood test of the observed data, which is subjected to variable systematic shifting of the data Xmax distributions to allow us to test the full distributions, and compare them to the Monte Carlo to see which elements are not compatible with the observed data. For all energy bins, QGSJet II-04 protons are found to be compatible with TA hybrid data at the 95% confidence level after some systematic Xmax shifting of the data. Three other QGSJet II-04 elements are found to be compatible using the same test procedure in an energy range limited to the highest energies where data statistics are sparse.

Ključne besede

cosmic rays;astroparticle physics;acceleration of particles;astrochemistry;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UNG - Univerza v Novi Gorici
UDK: 52
COBISS: 12840451 Povezava se bo odprla v novem oknu
ISSN: 1538-4357
Št. ogledov: 2377
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

URN: URN:SI:UNG
Vrsta dela (COBISS): Delo ni kategorizirano
Strani: str. 1-27
Letnik: ǂVol. ǂ858
Zvezek: ǂno. ǂ2
Čas izdaje: 2018
DOI: 10.3847/1538-4357/aabad7
ID: 11591944