艾伦方差
统计物理学
差异(会计)
混乱的
理论(学习稳定性)
激光器
系列(地层学)
时间序列
物理
光学
计算机科学
统计
数学
标准差
地质学
人工智能
古生物学
会计
机器学习
业务
作者
Naoki Asuke,Nicolas Chauvet,André Röhm,Kazutaka Kanno,Atsushi Uchida,Tomoaki Niiyama,Satoshi Sunada,Ryoichi Horisaki,Makoto Naruse
出处
期刊:Physical review
[American Physical Society]
日期:2023-01-23
卷期号:107 (1)
被引量:3
标识
DOI:10.1103/physreve.107.014211
摘要
Allan variance has been widely utilized for evaluating the stability of the time series generated by atomic clocks and lasers, in time regimes ranging from short to extremely long. This multiscale examination capability of the Allan variance may also be beneficial in evaluating the chaotic oscillating dynamics of semiconductor lasers- not just for conventional phase stability analysis. In the present study, we demonstrated Allan variance analysis of the complex time series generated by a semiconductor laser with delayed feedback, including low-frequency fluctuations (LFFs), which exhibit both fast and slow dynamics. While the detection of LFFs is difficult with the conventional power spectrum analysis method in the low-frequency regime, the Allan variance approach clearly captured the appearance of multiple time-scale dynamics, such as LFFs. This study demonstrates that Allan variance can help in understanding and characterizing diverse laser dynamics, including LFFs, spanning a wide range of timescales.
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