论文标题
Anisocado：用于分析生成自适应光学点的Python软件包，用于极大的望远镜
AnisoCADO: a python package for analytically generating adaptive optics point spread functions for the Extremely Large Telescope
论文作者
论文摘要
Anisocado是用于为欧洲极大望远镜（ELT）生成点扩散函数图像（PSF）图像的Python软件包。该代码允许用户设置许多最重要的大气和观察参数，这些参数会影响所得PSF的形状和Strehl比率，包括但不限于：大气湍流概况，单个结合自适应光学器件（SCAO）的指导星位置（SCAO）解决方案，不同的望远镜瞳孔传输等。 https://anisocado.readthedocs.io/en/latest/
AnisoCADO is a Python package for generating images of the point spread function (PSF) for the european extremely large telescope (ELT). The code allows the user to set many of the most important atmospheric and observational parameters that influence the shape and strehl ratio of the resulting PSF, including but not limited to: the atmospheric turbulence profile, the guide star position for a single conjugate adaptive optics (SCAO) solution, differential telescope pupil transmission, etc. Documentation can be found at https://anisocado.readthedocs.io/en/latest/
