Deep learning assisted Axicon Wavefront Sensor for wavefront estimation without optical modulation requirements
Keywords: pulpos, Axicon wavefront sensor, low-cost wavefront sensing, deep learning assisted wavefront sensing, wavefront sensing without optical modulation
Abstract
Adaptive optics (AO) is crucial for extreme Large Telescopes (ELTs), and its core of operation lies in the use of wavefront sensors. Although the Shack Hartmann and Pyramid Wavefront Sensors are more common, the axicon wavefront sensor (AxWFS) is a less-explored alternative, where the light is projected onto the detector over a doughnut-shape area. This study introduces a groundbreaking enhancement, employing a state-of-the-art deep neural network to perform wavefront estimation from the intensity changes within the ring produced by the axicon under different turbulence conditions, without requiring any optical modulation.
Más información
| Título según WOS: | Deep learning assisted Axicon Wavefront Sensor for wavefront estimation without optical modulation requirements |
| Título según SCOPUS: | Deep learning assisted Axicon Wavefront Sensor for wavefront estimation without optical modulation requirements |
| Título de la Revista: | Proceedings of SPIE - The International Society for Optical Engineering |
| Volumen: | 13097 |
| Editorial: | SPIE |
| Fecha de publicación: | 2024 |
| Idioma: | English |
| DOI: |
10.1117/12.3019447 |
| Notas: | ISI, SCOPUS |