AI 中文总结
本文介绍 COMPASS 项目的数据归约流程与产品，使用 CASA 和 IMAGER 处理 11 个原恒星区域的 ALMA 观测，生成光谱立方体、提取光谱和连续谱图像，以支持化学研究。
AI 中文摘要
研究嵌入太阳型原恒星周围暖气体的化学成分，是阿塔卡马大型毫米/亚毫米阵列（ALMA）特别适合的领域之一。近期，ALMA 大型项目“原恒星中的复杂有机分子：ALMA 光谱巡天”（COMPASS）对 11 个原恒星区域样本开展了一次观测活动，以研究其环境和演化阶段对化学的影响。本文旨在提供必要的观测和流程信息，使学界能够理解 COMPASS 合作组在即将发表的科学论文中呈现的分析，并支持利用我们团队及 ALMA 科学档案提供的数据产品进行档案研究。本文描述了观测的技术设置，并概述了该计划的数据处理流程和主要数据产品。初始校准采用通用天文软件应用（CASA）按照标准 ALMA 流程进行，随后使用 IMAGER 进行自校准和成像。我们描述了使用 Python 进行的后处理，以实现良好的连续谱扣除、校正主波束响应并提取光谱。我们讨论了缓解数据挑战的策略，包括与数据量及谱线分析中连续谱扣除相关的挑战。在我们的工作流程中引入 IMAGER 在计算效率方面具有优势，使我们能够对多种成像参数和技术进行基准测试；我们还证明，使用 IMAGER 或 CASA 得到的成像结果在科学上是可比的。该计划生成了大量数据产品，包括针对每个源的 36 个光谱窗口的图像立方体、提取的光谱以及连续谱图像。
英文摘要
Studying the chemical composition of the warm gas surrounding embedded solar-type protostars is one of the areas for which the Atacama Large Millimeter/submillimeter Array (ALMA) is particularly well suited. Recently, the ALMA Large Program ``Complex Organic Molecules in Protostars with ALMA Spectral Surveys'' (COMPASS) carried out an observing campaign of a sample of 11 protostellar regions to investigate the chemical impact of their environments and evolutionary stages. The aim of this paper is to provide the observational and procedural information necessary for the community to understand the analysis presented in forthcoming scientific papers by the COMPASS collaboration, and to enable archival research using the data products provided by our team and the ALMA Science Archive. This paper describes the technical setup of the observations, and it outlines the data-processing pipeline and primary data products from this initiative. The Common Astronomy Software Applications (CASA) was used for initial calibration following the standard ALMA Pipeline, and then IMAGER was used for self-calibration and imaging. We describe post-processing done with Python to achieve favorable continuum subtraction, correct for the primary beam response, and extract spectra. We discuss our strategy for mitigating data challenges, including those related to data volume and continuum subtraction for spectral line analysis. The incorporation of IMAGER in our workflow was advantageous in terms of the computing efficiency which allowed us to benchmark several imaging parameters and techniques; we also demonstrate that the imaging outcomes using IMAGER or CASA are scientifically comparable. Numerous data products are generated for the program, including image cubes for the 36 spectral windows targeting each source, extracted spectra, and continuum images.
Comments17 pages, 13 figures, online tables on CDS. Published in A&A
DOI：10.1051/0004-6361/202558751
