控制自由空间激发低语画廊共振的自动对齐方法
Davide D'Ambrosio1, Marialuisa Capezzuto1, Antonio Giorgini1
1Consiglio Nazionale delle Ricerche, Istituto Nazionale di Ottica (INO), Via Campi Flegrei, 34 Comprensorio A. Olivetti, I-80078 Pozzuoli, Italy.
Sensors (Basel, Switzerland)
|November 14, 2023
概括
研究人员开发了一种自动化算法,使用自由空间合激发低语画廊模式的微振器. 这种方法克服了传统纤维或镜合在生物传感和非线性光学应用中的局限性.
科学领域:
- 光学和光子学 在光学和光子学.
- 微光学是一种微光学.
- 纳米光子学 纳米光子学
背景情况:
- 低语画廊模式 (WGM) 微振荡器在生物传感和非线性光学中广泛使用.
- 传统的激发方法 (形纤维,镜) 有制造和访问的限制.
- 自由空间合提供了一个替代方案,但需要精确的对齐.
研究的目的:
- 开发和演示一个用于激发WGM微回振器的自动化算法.
- 为了克服与自由空间合相关的对齐挑战.
- 为WGM微共振器激发提供更容易获得和更有效的方法.
主要方法:
- 开发一种用于自动化微共振器激发的新型算法.
- 使用可见激光束实现自由空间合方法.
- 使用空间光调制器 (SLM) 和软件控制来精确操纵光束.
- 在自制的微球上进行实验验证.
主要成果:
- 在微球中成功演示了自动化WGM激发.
- 初步结果显示了开发的算法的有效性.
- 该方法克服了复杂的手动对齐程序的需要.
- 在基于WGM微共振器的系统中具有更广泛应用的潜力.
结论:
- 开发的算法可实现WGM微复原器的自动化自由空间合.
- 这种方法简化了实验设置,并提高了可访问性.
- 该方法在传感和非线性光学方面有望推进应用.
- 进一步的研究可以为各种微共振器系统优化算法.
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