Presentation + Paper
13 December 2020 GPI 2.0: optimizing reconstructor performance in simulations and preliminary contrast estimates
Author Affiliations +
Abstract
During its move from the mountaintop of Cerro Pachon in Chile to the peak of Mauna Kea in Hawaii, the Gemini Planet Imager will receive various upgrades, including a pyramid wavefront sensor. As a non-linear sensor, a standard approach to linearize the response of the pyramid is induce a rapid circular modulation of the beam around the pyramid tip, trading off sensitivity for robustness during high turbulence. Using high temporal resolution Fourier Optics based simulations, we investigate phase reconstruction approaches that attempt to optimize the performance of the sensor with a dynamically adjustable modulation parameter. We have studied the linearity and gain stability of the sensor under different modulation and seeing conditions, and the ability of the sensor to correct non-common-path errors. We will also show performance estimates which includes a comparative analysis of the atmospheric columns above the two mountains, as well as the Error Transfer Function of the two systems.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexander Madurowicz, Bruce Macintosh, Lisa Poyneer, Duan Li, Jean-Baptiste Ruffio, Jean-Pierre Veran, S. Mark Ammons, Dmitry Savransky, Jeffrey Chilcote, Jerome Maire, Quinn Konopacky, Robert J. De Rosa, Christian Marois, Marshall Perrin, and Laurent Pueyo "GPI 2.0: optimizing reconstructor performance in simulations and preliminary contrast estimates", Proc. SPIE 11448, Adaptive Optics Systems VII, 114482H (13 December 2020); https://doi.org/10.1117/12.2563136
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KEYWORDS
Gemini Planet Imager

Device simulation

Sensors

Modulation

Cameras

Computer simulations

Electron multiplying charge coupled devices

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