548 citations · 3k across the 20 of their papers we have counts for
20 papers
Complex topological features of reservoirs shape learning performances in bio-inspired recurrent neural networks
Valeria d'Andrea, Michele Puppin, Manlio De Domenico
Recurrent networks are a special class of artificial neural systems that use their internal states to perform computing tasks for machine learning. One of its state-of-the-art deve…
Large scale distribution of ultra high energy cosmic rays detected at the Pierre Auger Observatory with zenith angles up to 80
The Pierre Auger Collaboration
We present the results of an analysis of the large angular scale distribution of the arrival directions of cosmic rays with energy above 4 EeV detected at the Pierre Auger Observat…
Searches for Anisotropies in the Arrival Directions of the Highest Energy Cosmic Rays Detected by the Pierre Auger Observatory
Pierre Auger Collaboration
We analyze the distribution of arrival directions of ultra-high energy cosmic rays recorded at the Pierre Auger Observatory in 10 years of operation. The data set, about three time…
Search for patterns by combining cosmic-ray energy and arrival directions at the Pierre Auger Observatory
The Pierre Auger Collaboration
Energy-dependent patterns in the arrival directions of cosmic rays are searched for using data of the Pierre Auger Observatory. We investigate local regions around the highest-ener…
Depth of Maximum of Air-Shower Profiles at the Pierre Auger Observatory: Measurements at Energies above 10^17.8 eV
Pierre Auger Collaboration
We report a study of the distributions of the depth of maximum, Xmax, of extensive air-shower profiles with energies above 10^17.8 eV as observed with the fluorescence telescopes o…
Muons in air showers at the Pierre Auger Observatory: Mean number in highly inclined events
Pierre Auger Collaboration
We present the first hybrid measurement of the average muon number in air showers at ultra-high energies, initiated by cosmic rays with zenith angles between and $80^\ci…