Adaptive sampling strategy for tolerance analysis of freeform optical surfaces based on critical ray aiming
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866914858186833920 |
|---|---|
| author | Fan, Rundong Wei, Shili Qian, Zhuang Ji, Huiru Tan, Hao Mo, Yan Ma, Donglin |
| author_facet | Fan, Rundong Wei, Shili Qian, Zhuang Ji, Huiru Tan, Hao Mo, Yan Ma, Donglin |
| contents | The tolerance analysis of freeform surfaces plays a crucial role in the development of advanced imaging systems. However, the intricate relationship between surface error and imaging quality poses significant challenges, necessitating dense sampling of featured rays during the computation process to ensure an accurate tolerance for different fields of view (FOVs). Here, we propose an adaptive sampling strategy called "Critical Ray Aiming" for surface tolerance analysis. By identifying the most sensitive ray to wave aberration at each surface point, our methodology facilitates flexible sampling of the FOVs and entrance pupil (EP), achieving computational efficiency without compromising accuracy in determining tolerable surface error. We demonstrate the effectiveness of our method through tolerance analysis of two different freeform imaging systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_03688 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Adaptive sampling strategy for tolerance analysis of freeform optical surfaces based on critical ray aiming Fan, Rundong Wei, Shili Qian, Zhuang Ji, Huiru Tan, Hao Mo, Yan Ma, Donglin Optics The tolerance analysis of freeform surfaces plays a crucial role in the development of advanced imaging systems. However, the intricate relationship between surface error and imaging quality poses significant challenges, necessitating dense sampling of featured rays during the computation process to ensure an accurate tolerance for different fields of view (FOVs). Here, we propose an adaptive sampling strategy called "Critical Ray Aiming" for surface tolerance analysis. By identifying the most sensitive ray to wave aberration at each surface point, our methodology facilitates flexible sampling of the FOVs and entrance pupil (EP), achieving computational efficiency without compromising accuracy in determining tolerable surface error. We demonstrate the effectiveness of our method through tolerance analysis of two different freeform imaging systems. |
| title | Adaptive sampling strategy for tolerance analysis of freeform optical surfaces based on critical ray aiming |
| topic | Optics |
| url | https://arxiv.org/abs/2407.03688 |