Genetic Algorithm Based Optimization for Terahertz Time-Domain Adaptive Sampling

We propose an approach based on a genetic algorithm (GA) to improve the sampling efficiency in terahertz time-domain spectroscopy (THz-TDS). The experimental results show that our approach can greatly reduce the sampling time whilst maintain a very high accuracy compared to high-resolution step scanning. Moreover, this approach can be easily implemented in most TDS systems equipped with a delay stage without any hardware cost. The accuracy, flexibility and efficiency indicate great potential for this approach to improve the scanning speed in a wide range of applications.