Data from modeling published in the paper "Phase-space analysis of a two-section InP laser as an all-optical spiking neuron: dependency on control and design parameters"

This upload contains the complete Python code to generate the figures as shown in the paper "Phase-space analysis of a two-section InP laser as an all-optical spiking neuron: dependency on control and design parameters". The code comprises the Yamada rate equation model to calculate the carrier densities and photon number, as well as underlying compact models to simulate an integrated two-section laser neuron in the generic InP technology platform as mentioned in the paper. To calculate the outcome of the model, Pythons ODE solver is used. A 2D sweep function is implemented to generate the data for the 2D parameter sweep plot (figure 7). Alternatively, two addition folders with pre-generated data using this model is provided to generate this figure. All generated data is saved as figures directly, or in the numpy format.

本上传文件包含完整的Python代码，可复现论文《双区段InP激光器作为全光脉冲神经元的相空间分析：调控与设计参数的依赖关系》中的全部插图生成代码。该代码包含用于计算载流子密度与光子数的山田速率方程(Yamada rate equation)模型，同时涵盖了论文中提及的、用于在通用InP技术平台上仿真集成式双区段激光神经元的底层紧凑模型。为求解该模型的输出结果，本代码使用了Python的常微分方程(Ordinary Differential Equation)求解器。代码中实现了二维扫描函数，可生成用于绘制二维参数扫描图（即图7）所需的数据。此外，还提供了两个额外文件夹，内含使用本模型预先生成的数据，可直接用于生成该插图。所有生成的数据均可直接保存为图像文件，或以NumPy格式存储。