Accurate Modeling of Distributed Bragg Reflector Laser Power and Wavelength Using Gaussian Process Regression

Distributed Bragg reflector (DBR) lasers are widely used in many physics experiments. However, regarding the power and frequency control of DBR lasers, obtaining complete accurate output characteristics is challenging due to need for general quantitative models. In this study, we propose validate a method based on Gaussian process regression quickly accurately establish laser wavelength model. Two models developed describe power, wavelength, input current, temperature. The findings show that our model explains laser’s change from current threshold maximum value more precisely, with root mean square error (RMSE) 0.16921 mW, less than one-fifth classic Moreover, feasible describing RMSE 4 × 10−4 nm. This study can improve efficiency precision.