CATKit2-HCI：推进高对比度日冕仪试验台的协作框架
CATKit2-HCI: a collaborative framework for advancing high-contrast coronagraph testbeds
AI总结：
CATKit2-HCI项目旨在填补高对比度系外行星成像试验台软件独立开发的空白，基于CATKit2构建共享软件框架，涵盖美欧多个试验台，可减少重复开发、提高代码质量、便于结果比较及人员交流，加速日冕仪技术发展。
AI中文摘要：
高对比度系外行星成像需要专门的实验室试验台来开发和验证日冕仪架构、波前传感与控制方法、校准策略以及系统级观测概念。这些试验台常有相似软件需求，但各机构多独立开发工具。CATKit2-HCI协作项目通过提供可复用的HCI基础设施共享软件框架来填补这一空白。它基于CATKit2构建，为HCI特定算法等提供协作层。该协作目前涵盖美欧多个日冕仪试验台，目标是减少重复软件开发等。文中描述了其动机、架构等作为加速日冕仪技术发展的框架。
英文摘要：
High-contrast exoplanet imaging requires dedicated laboratory testbeds for the development and validation of coronagraph architectures, wavefront sensing and control methods, calibration strategies, and system-level observing concepts. These testbeds often share similar software needs, yet many tools are developed independently at each institution. The CATKit2-High-Contrast-Imaging collaboration, or CATKit2-HCI, addresses this gap by providing a shared software framework for reusable HCI infrastructure. Built on top of CATKit2, an open-source hardware control and synchronization framework originally developed for the High-contrast Imager for Complex Aperture Telescopes (HiCAT) testbed at the Space Telescope Science Institute, CATKit2-HCI provides the collaborative layer for HCI-specific algorithms, calibration tools, diagnostics, visualization, and performance metrics. The collaboration currently includes multiple coronagraph testbeds in the United States and Europe. Its goals are to reduce duplicated software development, improve code quality through shared review, enable more direct comparison of results across facilities, and facilitate the movement of students, postdoctoral researchers, and collaborators between laboratories. We describe the motivation, architecture, collaboration model, shared technical capabilities, and early cross-testbed examples of CATKit2-HCI as a framework for accelerating coronagraph technology development.
