374 citations · 4.5k across the 62 of their papers we have counts for
63 papers
Measurement of the fluctuations in the number of muons in extensive air showers with the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Aab, P. Abreu +365
We present the first measurement of the fluctuations in the number of muons in extensive air showers produced by ultrahigh energy cosmic rays. We find that the measured fluctuation…
The FRAM robotic telescope for atmospheric monitoring at the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Aab, P. Abreu +377
FRAM (F/Photometric Robotic Atmospheric Monitor) is a robotic telescope operated at the Pierre Auger Observatory in Argentina for the purposes of atmospheric monitoring using stell…
Calibration of the underground muon detector of the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Aab, P. Abreu +370
To obtain direct measurements of the muon content of extensive air showers with energy above eV, the Pierre Auger Observatory is currently being equipped with an underg…
Design, upgrade and characterization of the silicon photomultiplier front-end for the AMIGA detector at the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Aab, P. Abreu +357
AMIGA (Auger Muons and Infill for the Ground Array) is an upgrade of the Pierre Auger Observatory to complement the study of ultra-high-energy cosmic rays (UHECR) by measuring the…
Measurement of the cosmic-ray energy spectrum above eV using the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Aab, P. Abreu +380
We report a measurement of the energy spectrum of cosmic rays for energies above eV based on 215,030 events recorded with zenith angles below . A k…
Deep learning techniques applied to the physics of extensive air showers
A. Guillen, A. Bueno, J. M. Carceller +4
Deep neural networks are a powerful technique that have found ample applications in several branches of Physics. In this work, we apply machine learning algorithms to a specific pr…