论文标题
网络激光器的灵敏度和光谱控制
Sensitivity and spectral control of network lasers
论文作者
论文摘要
最近,复杂网络中的随机激光显示出在50多个局部模式上有效的激光,该模式通过基础图上的多个散射促进。如果受到控制,这些网络激光器可以通过合成光谱导致快速切换的多功能光源。在这里,我们在实验和理论中都观察到网络激光器对泵的空间形状的高灵敏度,对于非均匀的7%泵的降低,模式强度变化高达280%。我们在图上的稳态AB-Initio激光理论(SALT)近似中求解了非线性方程,并显示了约90%的顶部模式的选择性激光,从而有效地编程了激光网络的光谱。在我们使用聚合物网络的实验中,这种高灵敏度可以通过不均匀的泵模式控制激光频谱。我们提出网络模式的潜在复杂性,这是有效光谱控制背后的关键要素,为开发具有对芯片光子学的巨大影响的光学设备开发了通信,传感和计算。
Recently, random lasing in complex networks has shown efficient lasing over more than 50 localised modes, promoted by multiple scattering over the underlying graph. If controlled, these network lasers can lead to fast-switching multifunctional light sources with synthesised spectrum. Here, we observe both in experiment and theory high sensitivity of the network laser to the spatial shape of the pump profile, with mode intensity variation of up to 280% for a non-homogeneous 7% pump decrease. We solve the nonlinear equations within the steady state ab-initio laser theory (SALT) approximation over a graph and we show selective lasing of around 90% of the top modes, effectively programming the spectrum of the lasing networks. In our experiments with polymer networks, this high sensitivity enables control of the lasing spectrum through non-uniform pump patterns. We propose the underlying complexity of the network modes as the key element behind efficient spectral control opening the way for the development of optical devices with wide impact for on-chip photonics for communication, sensing and computation.