Computer Optimized Design of Electron Guns

Abstract

This paper considers the problem of designing electron guns using computer optimization techniques. Several different design parameters are manipulated while considering multiple design criteria including beam and gun properties. The optimization routines are described. Examples of guns designed using these techniques are presented. Future research is also described.

PIC simulation study of electron gun with rotational surface cathode

“…PIC simulation for electron gun allows people not only to watch the evolution of the phase space of the electrons but also to measure the distribution of electrons and current density at different places. It is proven to be a very useful tool for researching and electron gun designing [9][10][11][12].…”

An implicit filtering algorithm for derivative-free multiobjective optimization with box constraints

“…When a single objective is to be minimized, one of the most popular and efficient derivative-free methods is the so-called implicit filtering algorithm, originally proposed in [12] and applied to the solution of a variety of optimal design problems, see e.g. [1,2,5,7,9,10,13]. The implicit filtering algorithm is basically a finite-difference gradient-based method in that it makes use of gradient approximations obtained by finite differences.…”

Classification of Electron Gun Operation Modes Using Artificial Neural Networks

“…There is an emerging need for fine-variable electron guns in a number of applications including radar guns, cathode ray tubes, and many experimental designs [1][2][3][4][5][6]. For these purposes, electron guns have been successfully designed and operated with different methods [2][3][4].…”

“…For these purposes, electron guns have been successfully designed and operated with different methods [2][3][4]. These approaches of the gun design depend on many parameters, including the electrostatic lens voltages, electron beam current and radial size of the beam in the image point.…”