Dr. Xiaoxing Xia Profile

Dr. Xiaoxing Xia

at Lawrence Livermore National Lab

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Proceedings Article | 27 August 2024 Paper

The focal-plane actualized shifted technique realized for a Shack Hartmann Wavefront Sensor (fastrSHWFS)

Benjamin Gerard, Aaron Lemmer, Bautista Fernandez, Xiaoxing Xia, Cesar Laguna, Mike Kim, Stephen Mark Ammons, Brian Bauman, Lisa Poyneer

Proceedings Volume 13097, 130973T (2024) https://doi.org/10.1117/12.3018223

KEYWORDS: Design, Adaptive optics, Wavefront sensors, Printing, Etching, Sensors, Cameras, Imaging systems

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Astronomical adaptive optics (AO) is a critical approach to enable ground-based diffraction-limited imaging and high contrast science, with the potential to enable habitable exoplanet imaging on future extremely large telescopes. However, AO systems must improve significantly to enable habitable exoplanet imaging. Time lag between the end of an exposure and end of deformable mirror commands being applied in an AO loop is now the dominant error term in many extreme AO systems (e.g., Poyneer et al. 2016), and within that lag component detector read time is becoming non-negligible (e.g., Cetre et al. 2018). This term will decrease as faster detector readout capabilities are developed by vendors. In complement, we have developed a modified Shack Hartmann Wavefront Sensor (SHWFS) to address this problem called the Focal-plane Actualized Shifted Technique Realized for a SHWFS (fastrSHWFS). The novelty of this design is to replace the usual lenslet array with a bespoke pupil-plane phase mask that redistributes the spot pattern on the detector into a rectangular array with a custom aspect ratio (in an extreme case, if the detector size can accommodate it, the array can be a single line). We present the fastrSHWFS concept and preliminary laboratory tests. For some detectors and AO systems, the fastrSHWFS technique can decrease the read time per frame compared to a regular SHWFS by up to 30x, supporting the goal of reduced AO lag needed to eventually enable habitable exoplanet imaging.

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