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Development of a Real-Time Magnetic Field Measurement System for Synchrotron Control / Vella Wallbank, Joseph (CERN ; U. Malta) ; Amodeo, Maria (CERN ; Turin Polytechnic) ; Beaumont, Anthony (CERN) ; Buzio, Marco (CERN) ; Di Capua, Vincenzo (CERN ; U. Naples (main)) ; Grech, Christian (CERN ; U. Malta) ; Sammut, Nicholas (U. Malta) ; Giloteaux, David (CERN)
The precise knowledge of the magnetic field produced by dipole magnets is critical to the operation of a synchrotron. Real-time measurement systems may be required, especially in the case of iron-dominated electromagnets with strong non-linear effects, to acquire the magnetic field and feed it back to various users. [...]
2021 - 29 p. - Published in : Electronics 10 (2021) 2140 Fulltext: PDF;

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Hysteresis Modeling in Iron-Dominated Magnets Based on a Multi-Layered NARX Neural Network Approach / Amodeo, Maria (CERN ; Turin Polytechnic ; U. Naples (main)) ; Arpaia, Pasquale (CERN ; U. Naples (main)) ; Buzio, Marco (CERN) ; Di Capua, Vincenzo (CERN ; U. Naples (main)) ; Donnarumma, Francesco (CNR, Italy)
A full-fledged neural network modeling, based on a Multi-layered Nonlinear Autoregressive Exogenous Neural Network (NARX) architecture, is proposed for quasi-static and dynamic hysteresis loops, one of the most challenging topics for computational magnetism. This modeling approach overcomes drawbacks in attaining better than percent-level accuracy of classical and recent approaches for accelerator magnets, that combine hybridization of standard hysteretic models and neural network architectures. [...]
2021 - 18 p. - Published in : Int. J. Neural Syst. 31 (2021) 2150033 Fulltext: PDF;

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Error characterization and calibration of real-time magnetic field measurement systems / Grech, Christian (CERN ; Malta U.) ; Amodeo, Maria (Turin Polytechnic ; CERN) ; Beaumont, Anthony (CERN) ; Buzio, Marco (CERN) ; Capua, Vincenzo Di (CERN ; Naples U.) ; Giloteaux, David (CERN) ; Sammut, Nicholas (CERN ; Malta U.) ; Wallbank, Joseph Vella (CERN ; Malta U.)
In synchrotrons at the European Organization for Nuclear Research (CERN), magnetic measurement systems known as B-trains measure the magnetic field in the main bending magnets in real-time, and transmit this signal for the control of the synchrotron’s RF accelerating cavities, magnet power converter and beam monitoring systems. This work presents an assessment of the capabilities and performance of the new FIRESTORM (Field In REal-time STreaming from Online Reference Magnets) system as part of the first phase of commissioning. [...]
2021 - 9 p. - Published in : Nucl. Instrum. Methods Phys. Res., A 990 (2021) 164979 Fulltext: PDF;

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Integrator Drift Compensation of Magnetic Flux Transducers by Feed-Forward Correction / Amodeo, Maria (CERN ; Polytech. Turin ; U. Naples (main)) ; Arpaia, Pasquale (CERN ; U. Naples (main)) ; Buzio, Marco (CERN)
Integrator drift is a problem strongly felt in different measurement fields, often detrimental even for short-term applications. An analytical method for modelling and feed-forward correcting drift in magnetic flux measurements was developed analytically and tested experimentally. [...]
2019 - 15 p. - Published in : Sensors 19 (2019) 5455 Fulltext: PDF;

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Metrological characterization of field markers for real-time measurement and control of accelerator magnets / Amodeo, Maria
In the framework of magnetic measurements in particle accelerator application, the problem of the drift due to the integration of a voltage offset causes a lack of stability which is inadequate for long-term measurements [...]
CERN-THESIS-2018-347 - 103 p.

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