AI 中文总结
本研究开发了windsoCC管道，利用MagAO-X的波前传感器遥测数据重建并去除风致光晕，显著提升了HR 4796A周围盘图像的天体恢复效果。
AI 中文摘要
风致光晕（WDH）是一种持续存在的低频噪声伪影，由所有自适应光学（AO）仪器固有的伺服滞后误差导致。空间滤波可用于克服该伪影，但在滤除WDH的同时保留感兴趣的延展天体信号极具挑战性。此外，由于WDH的强度和位置角会随观测变化，常用于扣除恒星光的数据驱动算法（如KLIP）需过度激进才能同时去除静态和动态噪声分量。波前传感器（WFS）会持续跟踪闭环残余波前误差，因此WFS遥测数据是通过后处理对抗此类噪声伪影的理想资源。利用6.5米麦哲伦-克莱望远镜的“极端”AO仪器MagAO-X的存档WFS遥测数据，我们展示了一种在单个日冕仪科学图像中重建和去除WDH的新工作流。MagAO-X配备了金字塔WFS，可记录高帧率波前遥测数据并在数据采集期间保存。在此基础上，我们详细介绍了WFS数据处理管道windsoCC如何对记录的闭环波前进行互相关，以测量拉斯坎帕纳斯天文台上空多个大气湍流层的风矢量。随后，我们利用通过windsoCC学习到的风参数，借助参数化模型重建WDH的 footprint。值得注意的是，我们使用可见光波段HR 4796A周围盘的MagAO-X在轨图像，证明了天体恢复能力的显著提升。
英文摘要
The wind-driven halo (WDH) is a persistent, low spatial frequency noise artifact that arises due to the servo-lag error inherent to all adaptive optics (AO) instruments. Spatial filtering may be employed to overcome this artifact, however, filtering out the WDH while simultaneously preserving signal from an extended astrophysical object of interest is exceptionally challenging. Additionally, since the WDH changes in intensity and position angle through an observation, data-driven algorithms (e.g., KLIP) that are commonly used to subtract the starlight need to be overly-aggressive to remove both the static and dynamic noise components. Since wavefront sensors (WFSs) continuously track the closed-loop residual wavefront error, WFS telemetry presents the ideal resource for combating this type of noise artifact through postprocessing. Using archival WFS telemetry from MagAO-X, which is the ``extreme" AO instrument for the 6.5-meter Magellan-Clay telescope, we demonstrate a novel workflow for WDH reconstruction and removal in individual coronagraphic science images. MagAO-X is equipped with a pyramid WFS capable of recording wavefront telemetry at a high-cadence which is saved during data acquisition. Given this, we detail how our WFS data processing pipeline, windsoCC, cross-correlates the recorded closed-loop wavefront to measure the wind vectors of several turbulent layers of the atmosphere above Las Campanas Observatory. We then make use of the wind parameters learned through windsoCC to reconstruct the WDH footprint by leveraging a parametric model. Notably, we demonstrate a dramatic improvement in object recovery using on-sky MagAO-X images of the disk around HR~4796A at visible wavelengths.
Comments9 pages, 4 figures, 1 table, submitted to the Proceedings of SPIE Astronomical Telescopes + Instrumentation 2026
