From the 2 of 3 linked papers with an AI index.
3 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…