We propose and demonstrate a linearized model for phase diversity wavefront sensing, facilitating real-time processing and much less data required for training.
We propose a method to split conventional camera apertures into two halves along with a dual-pixel sensor for various computational imaging applications.
We propose an effective neural network based on low-frequency coefficients in the Fourier domain to determine a better estimate of the unknown aberrations.
We present LLOWFS closed-loop laboratory results under simulated post-Adaptive Optics residuals of GPI 2.0 and simulations of the LLOWFS and FAST sensors for SPIDERS
We present here results from NRC’s NEW-EARTH lab testing of the Fast Atmospheric SCC Technique, a variant of the SCC and its integration with a Lyot-stop Low-Order Wavefront Sensor.
The NRC Canada is funding two projects, the SPIDERS pathfinder at the Subaru telescope (ETA 2023), and the CAL2 upgrade of the Gemini Planet Imager-2 (ETA 2024), to deploy a modified self-coherent camera (based on FAST) to measure the focal plane electric field, and to apply wavefront corrections in a closed-loop down to 10s of ms in a narrow band.