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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.14256 |
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| _version_ | 1866909744407511040 |
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| author | Hurtado, Joel Gerard, Benjamin Laguna, Cesar Sanchez, Dominic Francisco |
| author_facet | Hurtado, Joel Gerard, Benjamin Laguna, Cesar Sanchez, Dominic Francisco |
| contents | REDWOODS on ShaneAO at Lick Observatory implements a second-stage, 3-sided reflective pyramid wavefront sensor (PWFS), which, under low-light conditions, offers an improved signal-to-noise ratio for deformable mirror commands to correct dynamic atmospheric aberrations. We modeled the REDWOODS limiting natural guide star magnitude. We also investigated performance tradeoffs between two PWFS modes that are available to REDWOODS, one with higher bandwidth error and another with higher aliasing error. We also implemented an experimental setup to image one of the REDWOODS PWFS masks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_14256 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Jupyter simulations Using NGS Intensity with PyWFS for REDWOODS Hurtado, Joel Gerard, Benjamin Laguna, Cesar Sanchez, Dominic Francisco Instrumentation and Methods for Astrophysics REDWOODS on ShaneAO at Lick Observatory implements a second-stage, 3-sided reflective pyramid wavefront sensor (PWFS), which, under low-light conditions, offers an improved signal-to-noise ratio for deformable mirror commands to correct dynamic atmospheric aberrations. We modeled the REDWOODS limiting natural guide star magnitude. We also investigated performance tradeoffs between two PWFS modes that are available to REDWOODS, one with higher bandwidth error and another with higher aliasing error. We also implemented an experimental setup to image one of the REDWOODS PWFS masks. |
| title | Jupyter simulations Using NGS Intensity with PyWFS for REDWOODS |
| topic | Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2508.14256 |