Publications by authors named "Benjamin D Shaffer"
Article Synopsis
- - This work focuses on using artificial neural networks for predicting turbulence, which is important for improving predictive adaptive optics (AO) in challenging environments.
- - Predictive AO control can enhance optical performance by correcting wavefront distortions caused by turbulence and this approach offers benefits by allowing predictions across various conditions.
- - The proposed model showcases strong performance in forecasting turbulence under diverse conditions not seen during training, indicating its potential for improving the design and functionality of future predictive AO systems.
Air density variations around an airborne directed energy system distort a beam's wavefront, resulting in degraded performance after propagation into the far field. Adaptive optics (AO) can be used to correct for these rapidly evolving aero-optical aberrations; however, in some conditions, the inherent latency between measurement and correction in state-of-the-art AO systems results in significantly reduced performance. Predictive AO control methods utilize future state predictions to compensate for rapidly evolving distortions and are promising techniques for mitigating this limitation.
View Article and Find Full Text PDF