399 citations · 4.2k across the 94 of their papers we have counts for
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Deep learning method for identifying mass composition of ultra-high-energy cosmic rays
O. Kalashev, I. Kharuk, M. Kuznetsov +4
We introduce a novel method for identifying the mass composition of ultra-high-energy cosmic rays using deep learning. The key idea of the method is to use a chain of two neural ne…
Observation of Variations in Cosmic Ray Single Count Rates During Thunderstorms and Implications for Large-Scale Electric Field Changes
R. U. Abbasi, T. Abu-Zayyad, M. Allen +160
We present the first observation by the Telescope Array Surface Detector (TASD) of the effect of thunderstorms on the development of cosmic ray single count rate intensity over a 7…
Indications of a Cosmic Ray Source in the Perseus-Pisces Supercluster
Telescope Array Collaboration, R. U. Abbasi, T. Abu-Zayyad +155
The Telescope Array Collaboration has observed an excess of events with in the data which is centered at (RA, dec) = (, ). This is n…
Detectability of southern gamma-ray sources beyond 100 TeV with ALPAQUITA, the prototype experiment of ALPACA
S. Kato, C. A. H. Condori, E. dela Fuente +47
Andes Large-area PArticle detector for Cosmic-ray physics and Astronomy (ALPACA) is an international experiment that applies southern very-high-energy (VHE) gamma-ray astronomy to…
Measurement of the Iron Spectrum in Cosmic Rays from 10 GeV to 2.0 TeV with the Calorimetric Electron Telescope on the International Space Station
O. Adriani, Y. Akaike, K. Asano +77
The Calorimetric Electron Telescope (CALET), in operation on the International Space Station since 2015, collected a large sample of cosmic-ray iron over a wide energy interval. In…
Surface detectors of the TAx4 experiment
Telescope Array Collaboration, R. U. Abbasi, M. Abe +145
Telescope Array (TA) is the largest ultrahigh energy cosmic-ray (UHECR) observatory in the Northern Hemisphere. It explores the origin of UHECRs by measuring their energy spectrum,…