11 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…
Sensitivity to low-mass WIMPs with an improved liquid argon ionization response model within the DarkSide programme
F. Acerbi, P. Adhikari, P. Agnes +294
Dark matter detection experiments using liquid argon rely on a precise characterization of the ionization response to nuclear recoils, especially in the keV energy range relevant f…
Characterization of argon recoils at the keV scale with ReD and ReD+
L. Pandola, P. Agnes, I. Ahmad +43
The ReD experiment measured the ionization yield Qy of argon for nuclear recoils in the 2-10 keV range using a dual-phase Time Projection Chamber irradiated with neutrons from a Cf…
Characterization of the ionization response of argon to nuclear recoils at the keV scale with the ReD experiment
P. Agnes, I. Ahmad, S. Albergo +42
In the recent years, argon-based experiments looking for Dark Matter in the Universe have explored the non-standard scenario in which Dark Matter is made by low-mass Weakly Interac…
Production, Quality Assurance and Quality Control of the SiPM Tiles for the DarkSide-20k Time Projection Chamber
F. Acerbi, P. Adhikari, P. Agnes +301
The DarkSide-20k dark matter direct detection experiment will employ a 21 m^2 silicon photomultiplier (SiPM) array, instrumenting a dual-phase 50 tonnes liquid argon Time Projectio…