Open-Loop Wavefront Reconstruction with Pyramidal Sensors Using Convolutional Neural Networks
Neural networks have significantly advanced adaptive optics systems for telescopes in recent years. Future adaptive optics systems, especially for extremely large telescopes, are expected to predominantly employ pyramid wavefront sensors, which offer good sensitivity but suffer from a non-linear res...
Saved in:
| Main Authors: | Saúl Pérez-Fernández, Alejandro Buendía-Roca, Carlos González-Gutiérrez, Francisco García-Riesgo, Javier Rodríguez-Rodríguez, Santiago Iglesias-Alvarez, Julia Fernández-Díaz, Francisco Javier Iglesias-Rodríguez |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/7/1028 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pyramid Wavefront Sensor Using a Discrete Modulated Operation Method
by: Lu Chen, et al.
Published: (2024-01-01) -
Training networks without wavefront label for pixel-based wavefront sensing
by: Yuxuan Liu, et al.
Published: (2025-03-01) -
Modern approaches to cataract surgery based on wavefront analysis
by: E.M. Titarenko, et al.
Published: (2023-03-01) -
Wavefront Sensor for the Determination of Nanostructured Surface Defects
by: V.V. Buchenko, et al.
Published: (2015-10-01) -
Wavefront-guided pupilloplasty in patients following penetrating keratoplasty: Optimizing results
by: Vijay K Sharma, et al.
Published: (2025-01-01)