Data-Driven Modeling for Optical Wave Reconstruction in Supersonic and Hypersonic Flows

We extend the methodology of the intensity/slope network (ISNet) (Dubose, et. al. 2020) to allow for flight condition aware reconstruction and correction of distorted optical wavefronts generated by Shack-Hartmann wavefront sensors (SHWFS) on high-speed flight vehicles. The current focus includes optical distortions caused by turbulent fluctuations in super and hypersonic flows over a cavity. Both experimentally and numerically generated distorted wavefronts are used to train the network. The flight conditions are included as an input to allow the network to adjust the reconstruction/correction to match the varying characteristics of the associated turbulence. We also attempt to extend this body of work for application with plenoptic wavefront sensors (PWFS).