PERRY：用于MUSE数据精确对准的人机协同图形用户界面
PERRY: A Human-in-the-Loop GUI for Precision Alignment of MUSE Data
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中文总结 AI 辅助
针对MUSE数据立方体中的微小错位问题，提出基于Python的交互式GUI工具PERRY，支持视觉检查、手动微调及实时坐标变换，并通过可复现配置文件提升数据还原效率。
中文摘要 AI 辅助
甚大望远镜上的多单元光谱探测器（MUSE）生成高维数据立方体，其中多次曝光之间即使微小的天体测量错位也可能引入严重伪影并损害数据质量。尽管自动化流程提供了关键基线，但细微偏移仍需人工干预。为解决此问题，我们推出PERRY，一个基于Python的交互式图形用户界面（GUI），专为MUSE图像对准的视觉检查和手动微调而设计。PERRY在Python化AAO还原环境（PARE）中扮演寻找数据立方体手动偏移调整的关键角色，它接收自动预对准的数据，提供同步的视觉和定量诊断，并支持实时坐标平移和旋转更新。由此产生的精确调整保存在可复现的配置文件中，最大化先进数据还原流程的科学回报和效率。
英文摘要
The Multi Unit Spectroscopic Explorer (MUSE) on the Very Large Telescope produces high-dimensional data-cubes where even minor astrometric misalignments between multiple exposures can introduce severe artifacts and compromise data quality. While automated pipelines provide a crucial baseline, subtle offsets require human intervention. To address this, we introduce PERRY, an interactive, Python-based Graphical User Interface (GUI) explicitly designed for the visual inspection and manual fine-tuning of MUSE image alignments. Playing an essential role of finding manual offset adjustments for data-cubes within the Pythonic AAO Reduction Environment (PARE), PERRY ingests automatically pre-aligned data, provides synchronized visual and quantitative diagnostics, and enables real-time coordinate translation and rotation updates. The resulting precise adjustments are preserved in reproducible configuration files, maximizing the scientific return and efficiency of advanced data reduction pipelines.
