研究目的
Theoretical study of the spatio-temporal gain profile of copper vapor active media, including the development of a kinetic model to investigate the evolution of amplifying characteristics and factors causing radial gain profile inhomogeneity.
研究成果
The kinetic model successfully describes the spatio-temporal evolution of gain in copper vapor active media, identifying electron concentration as the key factor for radial inhomogeneity rather than electron temperature. This provides insights for improving brightness amplifiers in active optical systems, with future work aimed at detailed kinetic studies including optical signal inputs.
研究不足
The model assumes a one-dimensional approach and uses approximations such as Maxwellian electron energy distribution function, which may not fully capture high-energy electron behavior. It does not include an optical cavity, limiting direct application to cavity-based systems. Further research is needed to incorporate input optical signals of varying levels and profiles.
1：Experimental Design and Method Selection:
A kinetic model was developed as a system of differential equations describing processes in the electric pump circuit and the kinetics of the active medium, including a one-dimensional reaction-diffusion system for concentrations and a heat equation for electron temperature. The method of lines was used for numerical solution.
2：Sample Selection and Data Sources:
Input data for modeling included parameters such as GDT active length, bore diameter, pulse repetition frequency, buffer gas pressure, copper wall concentration, storage capacitor voltage, GDT wall temperature, and capacitance, as specified in Table
3：List of Experimental Equipment and Materials:
Not explicitly listed; modeling was computational using software.
4：Experimental Procedures and Operational Workflow:
The system of equations was solved numerically over time intervals until steady-state regime was reached, with no physical cavity in the model (ASE mode operation).
5：Data Analysis Methods:
Analysis involved calculating gain from population inversion, using rate constants based on Maxwellian electron energy distribution function, and interpreting results through plots of gain, electron temperature, and concentration over time and radius.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
