Literature DB >> 33479278

Secondary electron emission under magnetic constraint: from Monte Carlo simulations to analytical solution.

Claudiu Costin1.   

Abstract

The secondary electron emission process is essential for the optimal operation of a wide range of applications, including fusion reactors, high-energy accelerators, or spacecraft. The process can be influenced and controlled by the use of a magnetic field. An analytical solution is proposed to describe the secondary electron emission process in an oblique magnetic field. It was derived from Monte Carlo simulations. The analytical formula captures the influence of the magnetic field magnitude and tilt, electron emission energy, electron reflection on the surface, and electric field intensity on the secondary emission process. The last two parameters increase the effective emission while the others act the opposite. The electric field effect is equivalent to a reduction of the magnetic field tilt. A very good agreement is shown between the analytical and numerical results for a wide range of parameters. The analytical solution is a convenient tool for the theoretical study and design of magnetically assisted applications, providing realistic input for subsequent simulations.

Entities:  

Year:  2021        PMID: 33479278     DOI: 10.1038/s41598-021-81345-x

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  3 in total

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Authors: 
Journal:  Phys Rev Lett       Date:  1995-06-19       Impact factor: 9.161

2.  Absence of Debye sheaths due to secondary electron emission.

Authors:  M D Campanell; A V Khrabrov; I D Kaganovich
Journal:  Phys Rev Lett       Date:  2012-06-18       Impact factor: 9.161

3.  Role of surface microgeometries on electron escape probability and secondary electron yield of metal surfaces.

Authors:  D Bajek; S Wackerow; D A Zanin; L Baudin; K Bogdanowicz; E Garcia-Tabares Valdivieso; S Calatroni; B Di Girolamo; M Sitko; M Himmerlich; M Taborelli; P Chiggiato; A Abdolvand
Journal:  Sci Rep       Date:  2020-01-14       Impact factor: 4.379

  3 in total

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