Deep neural networks for non-modulated Pyramid Wavefront Sensors
1 : Pontificia Universidad Católica de Valparaíso
2 : Pontificia Universidad Católica de Valparaíso
* : Corresponding author
The pyramid wavefront sensor (PyWFS) [1] is one of the best contenders to use on adaptive optics (AO) for extremely large telescope thanks to its performance, resolution and high sensitivity compared with other wavefront sensors. However, the PyWFS a limited linearity. To overcome this problem, the PSF is modulated around the pyramid apex using a Tip-Tilt mirror (TTM), where the modulation radius is defined by the non-dimensional value
| Subject : | : | poster |
| Topics | : | Wavefront Sensing |
| Keywords | : | Wavefront sensing ; deep learning ; machine learning ; adaptive optics |
| PDF version | : |  PDF version |
- Poster
