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Analysis of the improvement in sky coverage for multiconjugate adaptive optics systems obtained using minimum variance split tomography

机译:使用最小方差分裂层析成像技术获得的多共轭自适应光学系统的天空覆盖范围改善分析

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摘要

The scientific utility of laser-guide-star-based multiconjugate adaptive optics systems depends upon high sky coverage. Previously we reported a high-fidelity sky coverage analysis of an ad hoc split tomography control algorithm and a postprocessing simulation technique. In this paper, we present the performance of a newer minimum variance split tomography algorithm, and we show that it brings a median improvement at zenith of 21 nm rms optical path difference error over the ad hoc split tomography control algorithm for our system, the Narrow Field Infrared Adaptive Optics System for the Thirty Meter Telescope. In order to make the comparison, we also validated our previously developed sky coverage postprocessing software using an integrated simulation of both high- (laser guide star) and low-order (natural guide star) loops. A new term in the noise model is also identified that improves the performance of both algorithms by more properly regularizing the reconstructor.
机译:基于激光导星的多共轭自适应光学系统的科学实用性取决于高空覆盖。以前,我们报告了一种特殊的分割层析成像控制算法和后处理模拟技术的高保真天空覆盖率分析。在本文中,我们介绍了一种更新的最小方差拆分层析成像算法的性能,并且我们发现,相比于我们系统的即席拆分层析成像控制算法,该算法在顶点处的中值提高了21 nm rms的光程差。三十米望远镜的场红外自适应光学系统。为了进行比较,我们还使用了对高(激光制导星)和低阶(自然制导星)回路的集成仿真,验证了我们先前开发的天空覆盖后处理软件。还确定了噪声模型中的一个新术语,该术语通过更适当地规范化重构器来提高两种算法的性能。

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