From the 2 of 20 linked papers with an AI index.
20 papers
Exploiting the latent space of deep AutoEncoders for the identification of signal pulses in noisy time-series
Gioacchino Alex Anastasi, Sebastiano Francesco Albergo, Marzio De Napoli +3
The paper introduces a convolutional variational autoencoder that compresses noisy time‑series waveforms to a latent space, enabling automatic identification of signal pulses, and…
The Darkside-20k Data Acquisition System
Fabio Acerbi, Pushparaj Adhikari, Paolo Agnes +289
The paper describes the data acquisition (DAQ) system for the DarkSide‑20k liquid‑argon dark‑matter detector, which uses continuous, trigger‑less digitisation of 2720 SiPM channels…
Measuring the muon content of inclined air showers using AERA and the water-Cherenkov detectors of the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Abdul Halim, P. Abreu +360
We present a novel approach for assessing the muon content of air showers with large zenith angles on a combined analysis of their radio emission and particle footprint. We use the…
Quasi-constant time gap in multiple rings of elves
The Pierre Auger Collaboration, A. Abdul Halim, P. Abreu +359
We present evidence that the time delay between the multiple rings of elves is not caused by the ground reflection of the electromagnetic pulse produced by intracloud lightning. To…
Search for a diffuse flux of photons with energies above tens of PeV at the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Abdul Halim, P. Abreu +359
Diffuse photons of energy above 0.1 PeV, produced through the interactions between cosmic rays and either interstellar matter or background radiation fields, are powerful tracers o…
The distribution of ultra-high-energy cosmic rays along the supergalactic plane measured at the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Abdul Halim, P. Abreu +364
Ultra-high-energy cosmic rays are known to be mainly of extragalactic origin, and their propagation is limited by energy losses, so their arrival directions are expected to correla…