论文标题
PARANAL的缪斯自适应光学模式的性能表征和近现场监视
Performance characterization and near-realtime monitoring of MUSE adaptive optics modes at Paranal
论文作者
论文摘要
多单元光谱探索器(MUSE)是非常大的望远镜望远镜4上的整体场光谱仪,能够使用Galacsi模块使用激光导向星星辅助和断层自适应光学元件。它的观察功能包括宽场(1平方弧),地面层AO模式(WFM-AO)和狭窄的场(7.5“ x7.5”),激光断层扫描AO模式(NFM-AO)。自调试以来的4年中,后者进行了多次升级,包括对AO系统的控制矩阵的优化和其红外低阶波前传感器的新的子电子噪声检测器。我们着手通过分析$ \ sim $ \ sim $ 230分光光度准曲标准星观测来量化NFM-AO系统性能。为此,我们扩展了以前的工作,旨在促进对WFM-AO系统性能的分析。我们简要描述了将为您在科学操作期间进行系统性能监控的用户友好,半自动化的方式的框架。我们提供了绩效分析的结果,主要是通过使用两个PSF模型的点扩散函数(PSF)的核心核心(fWHM)的测得的StreHL比和完整宽度,以及与大气条件的相关性。这些结果将涉及一系列应用程序,包括提供对曝光时间计算器中实现的系统性能的更准确的预测,以及针对给定的一组限制大气条件的科学输出的相关优化。
The Multi Unit Spectroscopic Explorer (MUSE) is an integral field spectrograph on the Very Large Telescope Unit Telescope 4, capable of laser guide star assisted and tomographic adaptive optics using the GALACSI module. Its observing capabilities include a wide field (1 square arcmin), ground layer AO mode (WFM-AO) and a narrow field (7.5"x7.5"), laser tomography AO mode (NFM-AO). The latter has had several upgrades in the 4 years since commissioning, including an optimisation of the control matrices for the AO system and a new sub-electron noise detector for its infra-red low order wavefront sensor. We set out to quantify the NFM-AO system performance by analysing $\sim$230 spectrophotometric standard star observations taken over the last 3 years. To this end we expand upon previous work, designed to facilitate analysis of the WFM-AO system performance. We briefly describe the framework that will provide a user friendly, semi-automated way for system performance monitoring during science operations. We provide the results of our performance analysis, chiefly through the measured Strehl ratio and full width at half maximum (FWHM) of the core of the point spread function (PSF) using two PSF models, and correlations with atmospheric conditions. These results will feed into a range of applications, including providing a more accurate prediction of the system performance as implemented in the exposure time calculator, and the associated optimization of the scientific output for a given set of limiting atmospheric conditions.