TY - DATA T1 - 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" PY - 2024/07/10 AU - Lukas Puts AU - Daan Lenstra AU - Kevin Williams AU - Weiming Yao UR - DO - 10.4121/fa5c829d-0304-4c55-97d5-be1cafa318f9.v1 KW - neuromorphic photonics KW - optical spiking neuron KW - dynamical analysis KW - rate equation model KW - optical neuron N2 -

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.

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