论文标题

地面层的自适应 - 启发点扩展功能的重建,用于缪斯广泛的田野模式观测

Reconstruction of the ground-layer adaptive-optics point spread function for MUSE Wide Field Mode observations

论文作者

Fusco, Thierry, Bacon, R., Kamann, S., Conseil, S., Neichel, Benoit, Correia, Carlos, Beltramo-Martin, Olivier, Vernet, Joel, Kolb, Johann, Madec, Pierre-Yves

论文摘要

在这里,我们描述了一种简单,高效且最重要的是在多单元光谱探索器(MUSE)宽场模式的框架中,用于激光辅助基层自适应光学元件(GLAO)的一种简单,高效,最重要的功能传播功能(PSF) - 构造方法。根据Muse团队得出的明确的天体物理要求,并使用当前ESO自适应光学设施的功能,我们旨在开发一种操作的PSF重建(PSFR)算法,并在模拟和使用SKY数据中对其进行测试。 PSFR方法是基于对GLAO校正的傅立叶描述,该校正的特定仪器范围模式(像素大小,内部畸变等)的特定仪器效应已被添加。首先通过完整的端到端模拟对其进行彻底验证。分析了对主要大气和AO系统参数的敏感性,并重新审议代码以说明发现的灵敏度。最后,使用超过一年的缪斯数据数据对优化的算法进行了测试和委托。我们通过对天空的数据分析证明,我们的算法符合缪斯科学家施加的所有要求,即,通过Moffat功能的kurtosis参数,关键PSF参数的准确性比关键PSF参数的准确性更好,包括全宽度的全宽度和全局PSF形状。 PSFR算法公开可用,通常用于评估每个观察结果的缪斯图像质量。它可以包含在需要PSF知识的任何后处理活动中。

Here we describe a simple, efficient, and most importantly fully operational point-spread-function(PSF)-reconstruction approach for laser-assisted ground layer adaptive optics (GLAO) in the frame of the Multi Unit Spectroscopic Explorer (MUSE) Wide Field Mode. Based on clear astrophysical requirements derived by the MUSE team and using the functionality of the current ESO Adaptive Optics Facility we aim to develop an operational PSF-reconstruction (PSFR) algorithm and test it both in simulations and using on-sky data. The PSFR approach is based on a Fourier description of the GLAO correction to which the specific instrumental effects of MUSE Wide Field Mode (pixel size, internal aberrations, etc.) have been added. It was first thoroughly validated with full end-to-end simulations. Sensitivity to the main atmospheric and AO system parameters was analysed and the code was re-optimised to account for the sensitivity found. Finally, the optimised algorithm was tested and commissioned using more than one year of on-sky MUSE data. We demonstrate with an on-sky data analysis that our algorithm meets all the requirements imposed by the MUSE scientists, namely an accuracy better than a few percent on the critical PSF parameters including full width at half maximum and global PSF shape through the kurtosis parameter of a Moffat function. The PSFR algorithm is publicly available and is used routinely to assess the MUSE image quality for each observation. It can be included in any post-processing activity which requires knowledge of the PSF.

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