Power-Efficient Design of Large-Aperture Magnets for High-Energy Physics

Daniele Centanni, Daniele Davino, Massimiliano de Magistris, Raffaele Fresa, Vincenzo Paolo Loschiavo (), Antonio Quercia and Valentino Scalera ()
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Daniele Centanni: Dipartimento di Ingegneria, Università di Napoli Parthenope, 80132 Napoli, Italy
Daniele Davino: Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, 80126 Napoli, Italy
Massimiliano de Magistris: Dipartimento di Ingegneria, Università di Napoli Parthenope, 80132 Napoli, Italy
Raffaele Fresa: Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, 80126 Napoli, Italy
Vincenzo Paolo Loschiavo: Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, 80126 Napoli, Italy
Antonio Quercia: Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, 80126 Napoli, Italy
Valentino Scalera: Dipartimento di Ingegneria, Università di Napoli Parthenope, 80132 Napoli, Italy

Sustainability, 2023, vol. 15, issue 14, 1-15

Abstract: A novel and sustainability-oriented approach to the design of large-aperture iron-dominated magnets is proposed, focusing on its application to charged particle momentum detection in high-energy experimental physics. As compared to classical design techniques, a broader number of goals and constraints is taken into account, considering jointly the detection performance, the minimization of both the electrical power and magnet size, and the electromagnetic efficiency. A case study is considered for the detector magnet of a specific experiment, where the optimal design is pursued with semi-analytical tools, duly introducing the main quantities’ scaling laws in analytical form and successively validating the results with 3D numerical tools. A solution at higher energy efficiency is obtained, as compared to a more traditional design point of view. The proposed methodology can be fruitfully employed also in the design of magnets with a reduced ecological footprint in a number of other industrial and medical applications.

Keywords: energy efficiency; particle tracking; high-energy physics; magnetic spectrometers; magnet design optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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