论文标题
模式在弱扰动的高Q窃窃库微孔子中修剪和聚类
Modes trimming and clustering in a weakly perturbed high-Q whispering gallery microresonator
论文作者
论文摘要
通常，高Q微孔子可以容纳丰富的耳语画廊模式（WGM），而模式数则随着微孔子的尺寸而增加。在重组剩余模式的同时删除不必要的模式至关重要，但是，这已被证明是具有挑战性的，通常会导致微孔子Q的折衷。在这里，我们揭示了在弱扰动的锥形纤维耦合硝酸锂低语图库微孔子中产生多边形和恒星模式的有效修剪和聚类机制。在实验上，通过调整激发波长或改变锥形纤维和圆形微孔子之间的耦合位置，在单个微孔子中观察到各种多边形和星形模式，可以通过我们的理论模型很好地再现。该发现为需要精心选择和组织高Q WGM的广泛应用程序提供了无处不在的解决方案。
In general, a high-Q microresonator can accommodate abundant whispering gallery modes (WGMs) with the mode number increasing with the dimensional sizes of the microresonator. Removing the unnecessary modes while reorganizing the remaining modes is of vital importance, which, however, has been proved challenging and usually results in a tradeoff with the Q of the microresonator. Here, we reveal an effective and controllable mode trimming and clustering mechanism underlying the generation of polygon and star modes in weakly perturbed tapered fiber-coupled lithium niobate whispering gallery microresonators. Experimentally, various polygon and star modes are observed in sequence within a single microresonator by tuning the excitation wavelength or varying the coupling position between a tapered fiber and the circular microresonator, which can be well reproduced with our theoretical model. The finding offers a ubiquitous solution for a broad range of applications requiring elaborate selection and organization of the high-Q WGMs.
