Experimental Determination of the Electric Field and Charge Distribution in Magnetically Insulated Ion Diodes

Abstract

The electric field distribution is measured across the high voltage gap of a magnetically insulated intense ion beam diode by observing the Stark shift of line-emission from ions accelerating in the gap. The measured distribution yielded the time dependence of the actual diode gap. Rapid gap closure was observed early in the pulse, resulting from expansion of the electric field-excluding electrode plasmas in the diode. This can contribute substantially to the previously observed ion current density enhancements over the values calculated based upon the mechanical diode gap. Assuming planar geometry the electric field distribution was used to determine the electron density across the diode gap. This was compared with one-dimensional Brillouin- flow model calculations using the actual acceleration gap. The electrons were observed to spread towards the anode beyond the region of the theoretical electron-sheath. The electron presence near the anode was further enhanced when a cathode vane was used. In addition, an increase in the total electron number in the gap relative to analytic theory was inferred. This serves to explain the enhancement of the measured ion current density over the one calculated using the actual diode gap that we observed for the configuration tested. (JHD)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1987
Accession Number
ADA220466

Entities

People

  • D. A. Hammer
  • H. S. Peng
  • M. D. Coleman
  • Yitzhak Maron

Organizations

  • Cornell University

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Charged Particles
  • Current Density
  • Electric Fields
  • Electron Density
  • Electrons
  • Emission
  • Geometry
  • High Voltage
  • Ion Beams
  • Ion Density
  • Ions
  • Magnetic Fields
  • Measurement
  • Particle Beams
  • Space Charge
  • Two Dimensional
  • Voltage

Fields of Study

  • Physics

Readers

  • Electrical Engineering
  • Optical Physics and Photonics.
  • Plasma Physics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Microelectronics