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Published on: May 18, 2021
A calculation approach for current density distribution evolution of secondary electrons using differential algebra
Hangfeng Hu1, Meishan Li1, Jintao Hu1
1Key Laboratory for Physical Electronics and Devices of the Ministry of Education, School of Electronic Science and Engineering, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China.
This study introduces a novel differential algebra method to calculate secondary electron beam current density distribution evolution. This approach accurately models electron trajectories for improved scanning electron microscope detector design and efficiency.
Area of Science:
- Physics
- Electron Optics
- Materials Science
Background:
- Secondary electron (SE) beam current density distribution (CDD) evolution is crucial for understanding electron optics.
- Accurate modeling of SE beam CDD is essential for optimizing detector systems in electron microscopy.
Purpose of the Study:
- To present a novel differential algebra (DA) method for calculating the current density distribution (CDD) evolution of secondary electron (SE) beams.
- To validate the proposed method through simulations and experimental observations in a scanning electron microscope (SEM) setup.
Main Methods:
- The proposed method divides the SE beam into beamlets and traces reference trajectories using the DA method.
- Transfer properties of each beamlet are calculated, enabling derivation of the current density function considering initial distributions and emission source size.
- The total CDD evolution is obtained by superposing the CDDs of individual beamlets.
Main Results:
- The differential algebra method successfully calculates SE beam CDD evolution.
- Simulations and experimental results for a SEM SE detection system show good agreement, validating the method.
- The approach provides a tool for analyzing and optimizing SE detection systems.
Conclusions:
- The proposed DA-based method offers an accurate and efficient way to calculate SE beam CDD evolution.
- This method has significant potential for optimizing SE detection systems and enhancing collection efficiency in SEMs.
- The validated approach bridges simulation and experimental data for secondary electron imaging.
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