IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i20p7619-d943203.html
   My bibliography  Save this article

Effectiveness of the Chebyshev Approximation in Magnetic Field Line Tracking

Author

Listed:
  • Raffaele Albanese

    (DIETI, Università degli Studi di Napoli Federico II, Via Claudio 21, I-80125 Napoli, Italy
    Consorzio CREATE c/o, DIETI, Università degli Studi di Napoli Federico II, Via Claudio 21, I-80125 Napoli, Italy
    DTT S.C. a r.l., Via E. Fermi 45, I-00044 Frascati, Italy)

  • Andrea Gaetano Chiariello

    (Consorzio CREATE c/o, DIETI, Università degli Studi di Napoli Federico II, Via Claudio 21, I-80125 Napoli, Italy
    DI, Università degli Studi della Campania “L. Vanvitelli”, Via Roma, 29, I-81031 Aversa, Italy)

  • Raffaele Fresa

    (Consorzio CREATE c/o, DIETI, Università degli Studi di Napoli Federico II, Via Claudio 21, I-80125 Napoli, Italy
    DSI, Università degli Studi della Basilicata, Via dell’Ateneo Lucano 10, I-85100 Potenza, Italy)

  • Antonio Iaiunese

    (DIETI, Università degli Studi di Napoli Federico II, Via Claudio 21, I-80125 Napoli, Italy)

  • Raffaele Martone

    (Consorzio CREATE c/o, DIETI, Università degli Studi di Napoli Federico II, Via Claudio 21, I-80125 Napoli, Italy
    DTT S.C. a r.l., Via E. Fermi 45, I-00044 Frascati, Italy)

  • Pasquale Zumbolo

    (DIETI, Università degli Studi di Napoli Federico II, Via Claudio 21, I-80125 Napoli, Italy)

Abstract

The tracking of magnetic field lines can be very expensive, in terms of computational burden, when the field sources are numerous and have complex geometries, especially when accuracy is a priority, because an evaluation of the field is required in many situations. In some important applications, the computational cost can be significantly reduced by using a suitable approximation of the field in the integrated regions. This paper shows how Chebyshev polynomials are well-suited for field interpolation in magnetic field-line tracking, then discusses the conditions in which they are most appropriate, and quantifies the effectiveness of parallel computing in the approximation procedures.

Suggested Citation

  • Raffaele Albanese & Andrea Gaetano Chiariello & Raffaele Fresa & Antonio Iaiunese & Raffaele Martone & Pasquale Zumbolo, 2022. "Effectiveness of the Chebyshev Approximation in Magnetic Field Line Tracking," Energies, MDPI, vol. 15(20), pages 1-13, October.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7619-:d:943203
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/20/7619/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/20/7619/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Antonio Castaldo & Raffaele Albanese & Roberto Ambrosino & Flavio Crisanti, 2022. "Plasma Scenarios for the DTT Tokamak with Optimized Poloidal Field Coil Current Waveforms," Energies, MDPI, vol. 15(5), pages 1-14, February.
    2. Francesca Cau & Andrea Gaetano Chiariello & Guglielmo Rubinacci & Valentino Scalera & Antonello Tamburrino & Salvatore Ventre & Fabio Villone, 2022. "A Fast Matrix Compression Method for Large Scale Numerical Modelling of Rotationally Symmetric 3D Passive Structures in Fusion Devices," Energies, MDPI, vol. 15(9), pages 1-31, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7619-:d:943203. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.