A5007348092- Magnetic confinement fusion research
- Fusion materials and technologies
- Atmospheric and Environmental Gas Dynamics
- Nuclear Materials and Properties
- Nuclear reactor physics and engineering
- Spectroscopy and Laser Applications
- Ionosphere and magnetosphere dynamics
- Laser Design and Applications
- Laser-induced spectroscopy and plasma
- Laser-Plasma Interactions and Diagnostics
- Advanced Optical Sensing Technologies
- Combustion and Detonation Processes
- Nuclear and radioactivity studies
- Fire effects on ecosystems
- Advanced Chemical Sensor Technologies
- Superconducting Materials and Applications
- Air Quality Monitoring and Forecasting
- Nuclear Physics and Applications
- Viral Infections and Outbreaks Research
- Risk and Safety Analysis
- Water Quality Monitoring and Analysis
- Atmospheric aerosols and clouds
- Bacillus and Francisella bacterial research
- Radioactive contamination and transfer
- Solar and Space Plasma Dynamics
University of Rome Tor Vergata
2015-2024
Max Planck Institute for Plasma Physics
2024
University of Salerno
2021
National Agency for New Technologies, Energy and Sustainable Economic Development
2010-2020
Culham Science Centre
2012-2020
Royal Military Academy
2020
Engineering (Italy)
2015-2019
National Interuniversity Consortium of Materials Science and Technology
2016
University Niccolò Cusano
2016
University of Calabria
1995-2015
This study addresses the optimization of location a radioactive-particle sensor on drone. Based analysis physical process and boundary conditions introduced in model, computational fluid dynamics simulations were performed to analyze how turbulence caused by drone propellers may influence response sensors. Our initial focus was detection small amount radioactivity, such as that associated with release medical waste. Drones equipped selective low-cost sensors could be quickly sent dangerous...
Detecting disruptions with sufficient anticipation time is essential to undertake any form of remedial strategy, mitigation or avoidance. Traditional predictors based on machine learning techniques can be very performing, if properly optimised, but do not provide a natural estimate the quality their outputs and they typically age quickly. In this paper new set tools, probabilistic extensions support vector machines (SVM), are introduced applied for first JET data. The output constitutes...
The Bayesian information criterion (BIC), the Akaike (AIC), and some other indicators derived from them are widely used for model selection. In their original form, they contain likelihood of data given models. Unfortunately, in many applications, it is practically impossible to calculate likelihood, and, therefore, criteria have been reformulated terms descriptive statistics residual distribution: variance mean-squared error residuals. These alternative versions strictly valid only presence...
Abstract In many scientific applications, it is important to investigate how certain properties scale with the parameters of systems. The experimental studies scalings have traditionally been addressed log regression, which limits results power laws and theoretical not data-driven dimensionless quantities. This has also case in nuclear fusion, scaling energy confinement time a crucial aspect understanding physics transport design future devices. Traditionally two main assumptions are at...
Abstract Virological analysis is time-consuming and expensive. The aim of this work to demonstrate the applicability laser-induced fluorescence (LIF) classification viruses, reducing time for its costs. Experimental tests were performed in which different viruses irradiated with a UV laser emitting at 266 nm emitted spectra recorded by spectrometer. techniques show possibility discriminating viruses. Although application LIF technique biological agents has been thoroughly studied many...
Notwithstanding the efforts exerted over many years, disruptions remain a major impediment on route to magnetic confinement reactor of tokamak type. Machine learning predictors, relying adaptive strategies, have recently proved achieve very good performance. Even if their last generation implement 'from scratch' approach learning, i.e. they can start predicting after first example each class (safe and disruptive), it would be extremely useful profit from experience previous devices, when new...
With the aim to have risk mitigation for people and first responders, active remote sensing standoff detection is a fruitful technology, both in case of accidental (natural or incidental) intentional dispersion environment volatile chemical substances. Nowadays, several laser-based methodologies could be put place perform extensive areal monitoring. The present study regards proposal new system architecture derived from integration low-cost network detectors pollutants interfaced with more...
The most widely used forms of model selection criteria, the Bayesian Information Criterion (BIC) and Akaike (AIC), are expressed in terms synthetic indicators residual distribution: variance mean-squared error residuals respectively. In many applications science, noise affecting data can be expected to have a Gaussian distribution. Therefore, at same level error, models, whose more uniformly distributed, should favoured. degree uniformity quantified by Shannon entropy. Including entropy BIC...
Activated dust mobilization during a Loss of Vacuum Accident (LOVA) is one the safety concerns for International Thermonuclear Experimental Reactor (ITER). Intense thermal loads in fusion devices occur plasma disruptions, edge localized modes and vertical displacement events. They will result macroscopic erosion facing materials consequent accumulation activated into ITER vacuum vessel (VV). These kinds events can cause leakage outside VV that represents high radiological risk workers...
The far-infrared diagnostic provides essential internal measurements of the plasma density and magnetic field topology (q-profile via Faraday rotation angle) in real-time. capabilities have recently been extended a number key areas. Fast interferometer data, with 10 μs time resolution, new MATLAB code allowed improved analysis evolution profiles during fast events such as vertical displacements, edge localized mode, pellet fuelling, disruptions. Using polarimeter real-time, calibration...
The paper deals with JET polarimeter measurements and in particular it presents a study of the Faraday rotation angle, which is used as constraint equilibrium codes. This angle can be calculated by means rigorous numerical solution Stokes equations. A detailed comparison calculations carried out time traces measurements, inside limited dataset representative discharges: general, found that Cotton–Mouton phase shift represented to To obtain this agreement for rotation, magnetic surfaces must...
Many measurements are required to control thermonuclear plasmas and fully exploit them scientifically. In the last years JET has shown potential generate about 50 GB of data per shot. These amounts require more sophisticated analysis methodologies perform correct inference various techniques have been recently developed in this respect. The present paper covers a new methodology extract mathematical models directly from without any priori assumption their expression. approach, based on...
The extrapolation of the energy confinement time to next generation devices has been investigated both theoretically and experimentally for several decades in tokamak community. Various scaling expressions have proposed using dimensional dimensionless quantities. They are all based on assumption that scalings power law form. In this paper, an innovative methodology is extract tokamaks directly from experimental databases, without any previous about mathematical form scalings. approach obtain...
The risk associated with chemical, biological, radiological, nuclear, and explosive (CBRNe) threats in the last two decades has grown as a result of easier access to hazardous materials agents, potentially increasing chance for dangerous events. Consequently, early detection threat following CBRNe event is mandatory requirement safety security human operators involved management emergency. Drones are nowadays one most advanced versatile tools available, they have proven be successfully used...