Istituto Nazionale di Fisica Nucleare, Sezione di Catania

When Feature Alignment Helps, Hurts, or Washes out: Carrier-Dependent Domain Adaptation for Cherenkov Telescope Event Classification

Feature alignment domain adaptation (DA) methods such as CORAL and MMD are widely used to mitigate distribution shift between training (source) and deployment (target) domains. They are typically evaluated on a single downstream classifier, which implicitly assumes that the align...

Measurements of the production of W$$^{\pm }$$ and Z$$^0$$ bosons in pp collisions at $$\sqrt{s} = 13$$ TeV

Abstract Measurements of the production of the W $$^{\pm }$$ ± and Z $$^0$$ 0 bosons at midrapidity in pp collisions at $$\sqrt{s} = 13$$ s = 13 TeV with ALICE at the Large Hadron Collider (LHC) are presented. The W $$^{\pm }$$ ± and Z $$^0$$ 0 bosons are detected via their (di)e...

Construction and characterisation of the DarkSide-20k veto silicon photo-multiplier tiles

Abstract Silicon photo-multipliers (SiPMs) are state-of-the-art sensors capable of detecting a single photoelectron under cryogenic conditions, with potentially lower radioactivity than widely used photomultiplier tubes. The DarkSide-20k experiment, designed to perform direct dar...

A physics-informed neural network approach to diffusion and auto-oxidation in Fricke gel dosimeters

Precise dose quantification is critical for advanced radiation-based medical applications, particularly in emerging high dose-rate and mini-beam therapies. Fricke gels (FGs) are promising tissue-equivalent dosimeters based on the radiation-induced oxidation of \(Fe^{2+}\) to \(Fe...

Exploiting the Latent Space of Deep AutoEncoders for the Identification of Signal Pulses in Noisy Time-Series

We propose a data-driven procedure, based on convolutional variational autoencoders, to identify the presence of signal pulses in long time series. The dataset consists of synthetic waveforms, each composed of non-Gaussian noise and a log-normal-shaped signal of variable intensit...