识别和预测具有变的复杂激光的值分叉
Juan Gancio1, Cristina Masoller1, Mathias Marconi2
1Universitat Politècnica de Catalunya, Departament de Fisica, Rambla Sant Nebridi 22, Terrassa 08222, Barcelona, Spain.
Physical review letters
|September 15, 2025
概括
变 (PE) 量化了信号的复杂性. 这项研究表明,PE通过检测增加的时间相关性来识别激光值分叉,提供比自相关性更清晰的值识别.
科学领域:
- 非线性动力学是一种非线性动力学.
- 光学工程的光学工程.
- 统计物理学的统计物理.
背景情况:
- 变 (PE) 是信号复杂性的衡量标准.
- 复杂的激光器在激光值附近表现出模式竞争.
- 识别分叉点对于理解系统动态至关重要.
研究的目的:
- 调查变 (PE) 在识别和预测复杂激光的值分叉的有效性.
- 为了将PE的性能与像lag-1自相关性这样的标准量化器进行比较.
主要方法:
- 使用一个实验设置,与探测系统分辨率相对较长的腔体往返时间.
- 激光强度动态的高统计采样,每次往返.
- 计算位 (PE) 和滞后-1自相关性,用于在值以下和值处的信号.
主要成果:
- 变 (PE) 显示出明显的下降,明显低于激光值.
- PE 恰恰在值分叉点上达到一个尖的最低点.
- 这种PE的最低值与时间相关性急剧增加相对应.
- 与逐渐增加的lag-1自相关性相比,PE呈现更的下降,突出非线性相关性.
结论:
- 变 (PE) 是复杂激光系统中检测值分叉的一个敏感指标.
- PE的急剧下降有效地捕捉了在分叉点出现的非线性相关性.
- 与传统方法相比,PE提供了一种更清晰,更敏感的方法来识别激光值.
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