发表机构
INAF, Osservatorio Astronomico di Padova; Dipartimento di Fisica e Astronomia ‘Galileo Galilei’, Università di Padova（意大利国家天体物理研究所帕多瓦天文台; 帕多瓦大学伽利莱物理与天文学系）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
EPIMETHEUS是一个开源Python库，用于从多历元拼接图像中稳健地构建有效点扩散函数（ePSF），提供模块化透明流程，并发布了HST和JWST标准滤光片的经验ePSF。
AI 中文摘要
点扩散函数（PSF）的精确知识对于从天体测量到精密测光等广泛的天文学应用至关重要。然而，由于不同历元、不同观测条件以及不同位置角（PAs）下拍摄的曝光图像的叠加，从天文拼接图像中推导出稳健的平均有效点扩散函数（ePSF）尤其具有挑战性。为解决这一问题，我们提出了EPIMETHEUS，一个开源的Python库，旨在管理整个ePSF构建工作流程，从最初的恒星选择到最终的模型生成。EPIMETHEUS采用模块化架构，避免了黑箱方法，确保了完全的透明度，并让用户对用于构建ePSF的恒星样本拥有完全的控制权，以满足特定的科学需求。该软件可以同时处理多幅图像或拼接图像以获取ePSF，这在单个视场缺乏足够数量的明亮、未饱和恒星时是一个关键特性。候选恒星可以根据方向和光集中度自动过滤，并可通过半自动视觉检查手动排除恒星。尽管EPIMETHEUS专门针对多历元拼接图像中固有的旋转平移复杂性进行了优化，但它具有通用性，同样适用于从更简单的、无需旋转校正的单方向图像中推导ePSF。最后，为了展示该软件的能力并提供即时资源，我们发布了COSMOS、UDS、Abell 2744和GOODS-S天区中标准HST和JWST滤光片的经验ePSF。
英文摘要
Accurate knowledge of the point spread function (PSF) is essential for a wide range of astronomical applications, from astrometry to precision photometry. However, deriving a robust average effective PSF (ePSF) from astronomical mosaics is particularly challenging due to the superposition of exposures taken at different epochs, under different observing conditions, and with varying position angles (PAs). To address this issue, we present EPIMETHEUS, an open-source Python library designed to manage the entire ePSF construction workflow, from initial star selection to final model generation. Built with a modular architecture, EPIMETHEUS avoids black-box methodologies, ensuring full transparency and giving the user complete control over the stellar sample to use for the ePSF building to meet specific scientific requirements. The software can process multiple images or mosaics simultaneously to retrieve the ePSF, a crucial feature when individual fields lack a sufficient number of bright, unsaturated stars. Candidate stars can be automatically filtered based on orientation and light concentration, with options for manually excluding stars through a semi-automatic visual inspection. Although EPIMETHEUS is specifically optimised to handle the roto-translation complexities inherent to multi-epoch mosaics, it is versatile and can be equally applied to derive ePSFs from simpler, single-orientation images where rotational corrections are not required. Finally, to demonstrate the software's capabilities and provide an immediate resource, we release empirical ePSFs for standard HST and JWST filters across the COSMOS, UDS, Abell 2744, and GOODS-S fields.
CommentsAccepted for publication in A&A
