Robust Wavefront Sensing: Experimental Demonstration of Intensity and Slopes Neural Network (ISNet)

This final report discusses experimental results of the intensity and slopes neural network (ISNet) for turbulent wavefront reconstruction using Shack-Hartmann data. The network was previously trained on simulated data, and transfer learning is applied to operate on benchtop experimental setup. Ground truth data was obtained using a deformable mirror to generate known turbulent wavefronts. After transfer learning, ISNet is tested on unknown wavefronts using a phase screen in the signal path. Results show improved wavefront reconstruction from ISNet compared to Shack-Hartmann reconstruction. A parallel digital holography wavefront sensor is also used to verify the results.