Mauro Giacchini (Istituto Nazionale di Fisica Nucleare)
SUSB012
Advanced algorithms for linear accelerator design and operation
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In this paper, we investigate the usage of advanced algorithms adapted for optimizing the design and operation of different linear accelerators (LINACs), notably the superconducting linac ALPI at INFN-LNL and the ANTHEM BNCT facility to be constructed at Caserta, Italy. Utilizing various intelligent algorithms and machine learning techniques such as Bayesian optimization, genetic algorithms, particle swarm optimization, and surrogate modeling with artificial neural networks, we aim to enhance the design efficiency, operational reliability and adaptability of linear accelerators. Through simulations and case studies, we demonstrate the effectiveness and practical implications of these algorithms for optimizing LINAC performances across diverse applications.
  • Y. Ong, L. Bellan, A. Pisent, M. Comunian, E. Fagotti, D. Bortolato, M. Montis, M. Giacchini, O. Carletto
    Istituto Nazionale di Fisica Nucleare
DOI: reference for this paper: 10.18429/JACoW-LINAC2024-TUPB075
About:  Received: 14 Aug 2024 — Revised: 27 Aug 2024 — Accepted: 28 Aug 2024 — Issue date: 23 Oct 2024
Cite: reference for this paper using: BibTeX, LaTeX, Text/Word, RIS, EndNote
MOPB022
Construction status of the IFMIF-DONES 5 MW linac
IFMIF-DONES (International Fusion Materials Irradiation Facility - DEMO-Oriented NEutron Source) is a facility under construction as part of the European fusion roadmap. The facility, located in Granada (Spain), is a powerful neutron irradiation facility for validation and qualification of materials to be used in fusion reactors. The construction of the facility under the framework of the DONES Programme started in March 2023, following the first DONES Steering Committee. Currently, the design is being transferred to the DONES Programme, and the first bunch of in-kind contributions are being agreed, including the ones for the construction of the 5 MW deuteron superconducting linear accelerator. The design has been consolidated during the last years through the LIPAc (Linear IFMIF Prototype Accelerator), but also to other prototypes of critical parts of the accelerator among different frameworks. These include high-power solid-state amplifiers, superconducting cavities and beam diagnostics. Most of them are already validated, while a few are still undergoing validation. In this contribution, the status of the design and manufacturing of the 5 MW linear accelerator will be reviewed, including the prototypes and validation activities being carried out under several projects.
  • I. Podadera, C. Torregrosa, J. Herranz, J. Maestre, J. Morales Vega, J. Rueda, L. Gonzalez Gallego Sanchez Camacho, M. Ruiz, P. Araya Carmona, R. Lorenzo Ortega, R. Maldonado, S. Becerril-Jarque
    Consorcio IFMIF-DONES España
  • A. Marchena, A. Ibarra, C. Oliver, C. de la Morena, D. Jimenez-Rey, D. Regidor, F. Arranz, M. García, M. Weber, P. Méndez, V. Gutiérrez, V. Villamayor
    Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
  • A. Sabogal, A. Moreno, D. Sánchez-Herranz, J. Aguilar, L. Maindive, M. Vázquez, M. Ternero Gutierrez
    Universidad de Granada
  • A. Pisent, A. Palmieri, L. Bellan, M. Montis, M. Giacchini, M. Comunian
    Istituto Nazionale di Fisica Nucleare
  • A. Jansson, J. Weisend, M. Eshraqi, M. Juni Ferreira
    European Spallation Source ERIC
  • A. Madur, L. Segui, N. Chauvin
    Commissariat à l'Energie Atomique et aux Energies Alternatives
  • B. Bolzon, G. Devanz, J. Marroncle, J. Plouin, N. Bazin, P. Legou, T. Papaevangelou
    Commissariat à l'Energie Atomique
  • C. Prieto, J. Gutiérrez
    Empresarios Agrupados
  • D. Bernardi, F. Nitti, G. Micciché
    ENEA Brasimone
  • D. Poljak
    University of Split
  • F. Cismondi, F. Benedetti
    IFMIF/EVEDA Project Team
  • H. Dzitko
    Fusion For Energy
  • L. Macià, M. Sanmarti
    Catalonia Institute for Energy Research
  • M. Luque
    European Organization for Nuclear Research
  • P. Cara
    Fusion for Energy
  • S. Chel
    Université Paris-Saclay, CEA
  • T. Tadic
    Ruder Boskovic Institute
  • V. Hauer, Y. Qiu
    Karlsruhe Institute of Technology
  • W. Królas
    Institute of Nuclear Physics Polish Academy of Sciences
Cite: reference for this paper using: BibTeX, LaTeX, Text/Word, RIS, EndNote
TUPB075
Advanced algorithms for linear accelerator design and operation
484
In this paper, we investigate the usage of advanced algorithms adapted for optimizing the design and operation of different linear accelerators (LINACs), notably the superconducting linac ALPI at INFN-LNL and the ANTHEM BNCT facility to be constructed at Caserta, Italy. Utilizing various intelligent algorithms and machine learning techniques such as Bayesian optimization, genetic algorithms, particle swarm optimization, and surrogate modeling with artificial neural networks, we aim to enhance the design efficiency, operational reliability and adaptability of linear accelerators. Through simulations and case studies, we demonstrate the effectiveness and practical implications of these algorithms for optimizing LINAC performances across diverse applications.
  • Y. Ong, L. Bellan, A. Pisent, M. Comunian, E. Fagotti, D. Bortolato, M. Montis, M. Giacchini, O. Carletto
    Istituto Nazionale di Fisica Nucleare
Paper: TUPB075
DOI: reference for this paper: 10.18429/JACoW-LINAC2024-TUPB075
About:  Received: 14 Aug 2024 — Revised: 27 Aug 2024 — Accepted: 28 Aug 2024 — Issue date: 23 Oct 2024
Cite: reference for this paper using: BibTeX, LaTeX, Text/Word, RIS, EndNote