标题： PyLongslit：一种用于处理用CCD探测器记录的天文长缝光谱的简单手动Python管道 显示英文标题

标题： PyLongslit: a simple manual Python pipeline for processing of astronomical long-slit spectra recorded with CCD detectors

摘要： 我们提出了一种新的Python管道，用于处理使用CCD探测器记录的天文长缝光谱观测数据。 该管道旨在追求简单性、手动执行、透明性和鲁棒性。 管道的目标是提供一个手动且简单的替代方案，以补充已建立的半自动和自动化管道。 预期的应用场景是教学以及自动化管道失效的情况。 从原始数据开始，管道可以生成以下输出： * 每个探测器像素的计数和波长校准后的二维光谱。 * 以每波长计数为单位从二维光谱中提取的一维光谱（适用于点状物体）。 * 对于点状物体的通量校准一维光谱。 这些产品通过执行标准的探测器校准程序（Howell, 2006; Richard Berry, 2005）、宇宙线减除 (McCully et al., 2018; van Dokkum, 2001)，以及一维光谱提取 (Bradley et al., 2024; Horne, 1986) 获得。 软件存储库：https://github.com/KostasValeckas/PyLongslit 显示英文摘要

摘要： We present a new Python pipeline for processing data from astronomical long-slit spectroscopy observations recorded with CCD detectors. The pipeline is designed to aim for simplicity, manual execution, transparency and robustness. The goal for the pipeline is to provide a manual and simple counterpart to the well-established semi-automated and automated pipelines. The intended use-cases are teaching and cases where automated pipelines fail. From raw data, the pipeline can produce the following output: * A calibrated 2D spectrum in counts and wavelength for every detector pixel. * A 1D spectrum extracted from the 2D spectrum in counts per wavelength (for point-like objects). * A flux-calibrated 1D spectrum (for point-like objects). The products are obtained by performing standard procedures for detector calibrations (Howell, 2006; Richard Berry, 2005), cosmic-ray subtraction (McCully et al., 2018; van Dokkum, 2001), and 1D spectrum extraction (Bradley et al., 2024; Horne, 1986). Software repository: https://github.com/KostasValeckas/PyLongslit