ArxSP：基于 Python 的模块化应用程序，用于数字化档案光谱的还原
ArxSP: A Python-Based Modular Application for the Reduction of Digitized Archival Spectra
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中文总结 AI 辅助
本文提出基于 Python 的 ArxSP 软件包，用于还原含几何畸变的档案光谱，通过交互界面实现畸变校正、密度-强度转换等功能，确保可重复还原并兼容现代系统。
中文摘要 AI 辅助
我们提出了一种还原档案光谱数据的方法，并描述了一个新开发的、基于 Python 的、具有交互式图形界面的软件包。这项工作主要旨在处理通过电子光学转换器（EOC）获得的光谱，这些光谱的特点是因记录系统的磁场引起的几何畸变。此类数据尤其保存在费森科夫天体物理研究所（FAI）的档案中，该档案包含约 10,000 张照相底片。这些畸变，以及将照相材料的光学密度转换为相对强度的需求，无法通过 IRAF 等标准天文软件包进行校正，因此需要一种专门的方法。历史上，FAI 的还原工作是使用一种以 Microsoft QuickC 语言编写的程序进行的，该程序针对 20 世纪 90 年代的计算平台，导致其与现代操作系统不兼容。新软件包采用 PyQt5 框架实现，保留了原始代码的逻辑，同时扩展了其功能。所实现的算法包括图像旋转和裁剪、几何畸变校正、构建连接光学密度与强度的特征曲线，以及直接转换对象光谱中的像素值。所开发的软件确保了档案光谱的可重复还原，并提供了一个具有进一步扩展潜力的跨平台环境。
英文摘要
We present a methodology for the reduction of archival spectral data together with the description of a newly developed Python-based software package featuring an interactive graphical interface. The work is primarily aimed at processing spectra obtained with electron-optical converters (EOCs), which are characterized by geometric distortions induced by the magnetic field of the registration system. Such data are preserved, in particular, in the archive of the Fesenkov Astrophysical Institute (FAI), which contains about 10,000 photographic plates. These distortions, along with the need to transform the optical density of the photographic material into relative intensity, cannot be corrected by standard astronomical packages such as IRAF and therefore require a dedicated approach. Historically, reductions at FAI were performed using a program written in the Microsoft QuickC language for computing platforms of the 1990s, rendering it incompatible with modern operating systems. The new package is implemented with the PyQt5 framework, retaining the logic of the original code while extending its functionality. The implemented algorithms include image rotation and cropping, geometric distortion correction, construction of the characteristic curve linking optical density and intensity, and direct conversion of pixel values in object spectra. The developed software ensures reproducible reduction of archival spectra and provides a cross-platform environment with potential for further extensions.
发表机构
- Fesenkov Astrophysical Institute（费森可夫天体物理研究所）
- al-Farabi Kazakh National University（阿里-法拉比哈萨克国立大学）
机构由 AI 辅助整理，请以论文原文为准。
