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CERN Document Server 2,042 notices trouvées  1 - 10suivantfin  aller vers la notice: La recherche a duré 0.37 secondes. 
1.
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;
2.
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;
3.
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;
4.
Dynamic Ferromagnetic Hysteresis Modelling Using a Preisach-Recurrent Neural Network Model / Grech, Christian (Malta U. ; CERN) ; Buzio, Marco (CERN) ; Pentella, Mariano (CERN ; Polytech. Turin) ; Sammut, Nicholas (Malta U. ; CERN)
2020 - Published in : Materials 13 (2020) 2561 Fulltext from Publisher: PDF;
5.
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;
6.
Proof-of-Principle of an Energy-Efficient, Iron-Dominated Electromagnet for Physics Experiments / Devred, A (CERN) ; Ballarino, A (CERN) ; Bourcey, N (CERN) ; Mangiarotti, F (CERN) ; Milanese, A (CERN) ; Petrone, C (CERN)
A number of physics experiments call for the use of iron-dominated, normal-conducting electromagnets to produce moderate fields (2 T range) in a large gap or over a large volume. Although robust and reliable, these magnets require significant electrical power, in the MW range, and can thus be costly to operate, especially in DC mode. [...]
2024 - 7 p. - Published in : IEEE Trans. Appl. Supercond. 34 (2024) 4902007 Fulltext: PDF;
7.

CERN-PHOTO-202310-239
© 2023 CERN
The magnesium diboride (MgB2) demonstrator magnet and the team
In the Large Magnet Facility hall on CERN's Meyrin [...]
06-10-2023
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8.
First operational experience with data-driven hysteresis compensation for the main dipole magnets of the CERN SPS / Lu, Anton (CERN ; Vienna, Tech. U.) ; Kain, Verena (CERN) ; Petrone, Carlo (CERN) ; Di Capua, Vincenzo (CERN) ; Schenk, Michael (CERN) ; Zannini, Carlo (CERN)
Magnetic hysteresis, eddy currents, and manufacturing imperfections pose significant challenges for beam operation in multi-cycling synchrotrons. Addressing the dynamic dependency of magnetic fields on cycling history is a current limitation for control room tools using existing models. [...]
2024 - 4 p. - Published in : JACoW IPAC 2024 (2024) MOPS66 Fulltext: PDF;
In : 15th International Particle Accelerator Conference (IPAC 2024), Nashville, TN, United States, 19 - 24 May 2024, pp.MOPS66
9.
Measurement of the inductance of resistive magnets: two case studies / Buzio, M (CERN) ; Chritin, R (CERN) ; Giloteaux, D (CERN)
This note concerns the main definitions of self-inductance (i.e. [...]
CERN-ATS-Note-2011-047 TECH.
- 2011. - 21 p.
Full text
10.
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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