Skip to main content
Log in

Smoothing and differentiating experimentally measured magnetic field distribution in the gap of cyclotron electromagnet

  • Published:
Technical Physics Letters Aims and scope Submit manuscript

Abstract

We describe an algorithm for smoothing and differentiating an experimentally measured magnetic field distribution defined in a cylindrical coordinate system and set in the form of a table. Formulas for the local smoothing and differentiation of magnetic induction over arrays of various dimensions (3 × 3 × 3, 5 × 5 × 5, etc.) are presented. The obtained magnetic field components obey the Maxwell equations. Principles of the optimum choice of the smoothing step are considered and estimations of the accuracy and reliability of the computational process are given.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. N. N. Kalitkin, Numerical Methods (Nauka, Moscow, 1978), pp. 58, 474 [in Russian].

    Google Scholar 

  2. N. K. Abrosimov, G. A. Ryabov, and B. Z. Sandler, Smoothing and Differentiating Experimentally Measured Functions of Many Variables (Preprint PIYaF-595) (Gatchina, 1980).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. E. Kucher.

Additional information

Original Russian Text © S.E. Kucher, N.K. Abrosimov, S.I. Vorob’ev, G.A. Ryabov, 2010, published in Pis’ma v Zhurnal Tekhnicheskoĭ Fiziki, 2010, Vol. 36, No. 6, pp. 86–94.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kucher, S.E., Abrosimov, N.K., Vorob’ev, S.I. et al. Smoothing and differentiating experimentally measured magnetic field distribution in the gap of cyclotron electromagnet. Tech. Phys. Lett. 36, 288–291 (2010). https://doi.org/10.1134/S1063785010030260

Download citation

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1063785010030260

Keywords

Navigation