Optimization algorithm for compound filter parameters of flat response X-ray diode
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摘要: 在间接驱动激光聚变研究中,平响应X射线二极管是X射线辐射能流测量的主要探测器。为了获得理想的平响应效果,采用传统方法需要花费大量时间优化二极管的复合滤片参数,为此引入了粒子群优化算法,将之用于平响应X射线二极管复合滤片参数的优化,该方法可更快捷、更准确地得到复合滤片的优化参数。提出了新的滤片组合方式,并优化其平响应特性,得到了比传统滤片组合更优的参数配比。该项工作为平响应X射线二极管复合滤片参数的寻优提供了一种更高效的方法。Abstract: In the study of indirectly driven laser fusion, the flat response X-ray diode is the main detector for the measurement of X-ray radiation energy flux. To obtain ideal flat response effect, it usually costs a lot of time to optimize the composite filter parameters of the detector. In this paper, the particle swarm optimization algorithm is developed and applied to optimize the parameters of compound filter of flat response X-ray diode. Compared with the previous work, the method developed in this paper can get the optimized parameters of composite filter more quickly and accurately. On this basis, this paper proposes a new filter combination mode, optimizes its flat response characteristics, and obtains a better parameter ratio than the traditional filter combination. The work in this paper provides a more efficient method for searching the parameters of the composite filter of the response X-ray diode
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表 1 双层金复合滤片组合算法优化结果
Table 1. Optimization results of combination algorithm of double gold composite filter
flat thick filter thickness/nm thin filter thickness/nm weight (thick filter) weight (thin filter) 0.01213 360.2 71.0 0.829 3 1 0.01219 363.1 72.2 0.828 4 1 0.01218 364.0 71.6 0.829 2 1 表 2 双层金滤片与单层铝滤片组成的复合滤片参数优化结果
Table 2. Parameter optimization results of composite filter composed of double-layer gold filter and single-layer aluminum filter
flat thick filter 1 (Au)
thickness/nmthin filter 2 (Au)
thickness/nmfilter 3 (Al)
thickness/nmweight
(thick filter 1)weight
(thin filter 2)weight
(filter 3)0.01052 399.1 63.6 186.0 0.8486 0.8880 1 0.01052 406.8 64.1 185.9 0.8496 0.8472 1 0.01053 412.3 63.6 189.2 0.8515 0.8516 1 -
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