结合的单向混沌微波图表
Omer Farooq1, Afshin Akhshani1, Michał Ławniczak1
1<a href="https://ror.org/000sfad56">Institute of Physics, Polish Academy of Sciences</a>, Aleja Lotników 32/46, 02-668 Warszawa, Poland.
Physical review. E
|August 20, 2024
概括
这项研究探讨了具有吸收的微波网络,揭示了双重退化的共振和与高斯单元集团预测一致的光谱统计数据. 数值分析进一步支持这些关于光谱双胞胎的发现.
科学领域:
- 这是量子混沌.
- 微波网络理论 微波网络理论
- 随机矩阵理论是随机矩阵理论.
背景情况:
- 研究具有内部吸收的复杂网络对于理解波浪现象至关重要.
- 开放系统中的时间逆向对称性往往导致特定的光谱统计.
- 微波网络作为量子混乱研究的实验平台.
研究的目的:
- 实验性地描述一个带有内部吸收的无定向开放微波网络.
- 为了评估光谱统计和弹性增强因子.
- 将实验结果与理论预测进行比较,包括韦尔定律和随机矩阵理论.
主要方法:
- 用于微波网络的双端口散射矩阵的实验测量.
- 从实验数据评估光谱统计和弹性增强因子.
- 对应的开放非分量量子图的数值模拟.
主要成果:
- 实验共振在实验分辨率内被发现是双重退化的.
- 频谱统计和弹性增强因子与高斯单元组合预测密切匹配.
- 数值计算揭示了光谱中的双重结构,双重大小的Poisson分布.
结论:
- 研究的微波网络表现出由其结构和吸收影响的光谱特性.
- 双重退化的共振和偏离预期的统计数据突出显示了开放系统中的复杂行为.
- 数值分析提供了对未完全通过实验解决的光谱特征的见解.
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