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Design and training of a deep neural network for estimating the optical gain in pyramid wavefront sensors
Abstract
This work shows the design and training of a convolutional neural network to improve the linear response of a modulated pyramid wavefront sensor, allowing to estimate and compensate for the optical gain in real time.
Más información
| Título según SCOPUS: | Design and training of a deep neural network for estimating the optical gain in pyramid wavefront sensors |
| Título de la Revista: | Optics InfoBase Conference Papers |
| Editorial: | Optica Publishing Group (formerly OSA) |
| Fecha de publicación: | 2022 |
| Idioma: | English |
| Notas: | SCOPUS |