arXiv subjects

Davide Reggiani

Publications and source records attributed to Davide Reggiani.

2 recordsLinked to original sources

arXiv2026

Beam Intercepting Devices

Beam Intercepting Devices (BIDs) include targets, scrapers, collimators, protection absorbers and beam dumps. They enable secondary particle production, shape or clean beams, and protect sensitive components by concentrating beam losses into shielded locations. In high-power proton machines, BIDs operate close to thermo-mechanical limits under intense radiation fields, and their reliability directly impacts accelerator availability. This review summarizes the dominant design drivers (energy deposition, temperature gradients, thermal stress, fatigue, radiation damage and activation), outlines a pragmatic design workflow combining energy-deposition assessment with coupled thermal/structural and fluid dynamic analyses, and reviews representative BIDs at PSI's High Intensity Proton Accelerator (HIPA), including current hardware and developments for the IMPACT project (Isotope and Muon Production using Advanced Cyclotron and Target technology).

physics.acc-ph↗

arXiv2021

A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators

The beam interruptions (interlocks) of particle accelerators, despite being necessary safety measures, lead to abrupt operational changes and a substantial loss of beam time. A novel time series classification approach is applied to decrease beam time loss in the High Intensity Proton Accelerator complex by forecasting interlock events. The forecasting is performed through binary classification of windows of multivariate time series. The time series are transformed into Recurrence Plots which are then classified by a Convolutional Neural Network, which not only captures the inner structure of the time series but also utilizes the advances of image classification techniques. Our best performing interlock-to-stable classifier reaches an Area under the ROC Curve value of $0.71 \pm 0.01$ compared to $0.65 \pm 0.01$ of a Random Forest model, and it can potentially reduce the beam time loss by $0.5 \pm 0.2$ seconds per interlock.

physics.acc-ph↗