activity
20182026
most citedDiagnostic data integration using deep neural networks for real-time plasma analysis

7 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

physics.comp-ph2026

Repurposing acquisition devices into trigger-based timing synchronization of breakdown events during MITICA high voltage holding experiments

Andrea Rigoni Garola, Luca Lotto, Gabriele Manduchi +8

A critical requirement for MITICA -- a full-scale prototype of the heating Neutral Beam Injectors hosted at the Consorzio RFX Neutral Beam Test Facility for the ITER experiment --…

physics.acc-ph2023★ 5 cited

Direct current measurements of the SPIDER beam: a comparison to existing beam diagnostics

A. Shepherd, T. Patton, A. Pimazzoni +5

For negative ion beam sources there are several methods of measuring the accelerated beam current, most commonly electrical measurements at the power supply and calorimetric measur…

physics.comp-ph2020★ 7 cited

Diagnostic data integration using deep neural networks for real-time plasma analysis

A. Rigoni Garola, R. Cavazzana, M. Gobbin +4

Recent advances in acquisition equipment is providing experiments with growing amounts of precise yet affordable sensors. At the same time an improved computational power, coming f…

physics.ins-det2018

A Zynq-based flexible ADC architecture combining real-time data streaming and transient recording

Andrea Rigoni Garola, Gabriele Manduchi, Marco Gottado +4

The RFX-mod2 Nuclear Fusion experiment is an upgrade of RFX-mod, shutdown in 2016. Among the other improvements in the machine structure and diagnostics, a larger number of electro…

physics.ins-det2018★ 1 cited

Evaluation of noise limits of a precision ADC for direct digital signal integration of magnetic measurements

Roberto Cavazzana, Marco Gottardo, Andrea Rigoni Garola

The characterization of laboratory plasma instabilities, magnetic reconnection and turbulence associated phenomena, require the simultaneous signal sampling from arrays of magnetic…