标题： 使用AAP-Imfit的自动建模：通过CASA进行天体测量和测光 显示英文标题

标题： Automated Modeling with AAP-Imfit: Astrometry and Photometry via CASA

摘要： 甚长基线干涉测量（VLBI）提供最高分辨率的射电强度图，这对于研究如活动星系核（AGN）及其相对论性喷流等致密源至关重要。 在这些图中分析喷流组分传统上涉及手动高斯拟合，这是处理大规模数据集时耗时的瓶颈。 为了解决这个问题，我们提出了一种基于CASA的高斯拟合能力的自动化批处理工具，旨在简化VLBI喷流组分表征（AAP-Imfit）。 我们的算法设定检测限，执行自动二维高斯拟合，并去除模型伪影，高效提取组分通量密度和位置。 这种方法实现了系统且可重复的分析，显著减少了处理大规模VLBI数据集所需的時間。 我们通过使用BLAZAR 3C 279和3C 454.3的VLBI观测数据验证了AAP-Imfit，并将我们的结果与已发表的拟合结果进行比较。 残差均方根（RMS）值以及模型/残差与图的RMS比值之间的密切一致性证实了我们自动化方法在再现原始通量分布方面的准确性。 虽然对于复杂或微弱特征的视觉检查仍然重要，但这一流程显著加速了VLBI组分拟合，为喷流动力学的大规模统计研究铺平了道路。 显示英文摘要

摘要： Very Long Baseline Interferometry (VLBI) provides the highest-resolution radio intensity maps, crucial for detailed studies of compact sources like active galactic nuclei (AGN) and their relativistic jets. Analyzing jet components in these maps traditionally involves manual Gaussian fitting, a time-consuming bottleneck for large datasets. To address this, we present an automated batch-processing tool, based on the Gaussian fitting capabilities of CASA, designed to streamline VLBI jet component characterization (AAP-Imfit). Our algorithm sets a detection limit, performs automatic 2D Gaussian fitting, and removes model artifacts, efficiently extracting component flux densities and positions. This method enables systematic and reproducible analysis, significantly reducing the time required for fitting extensive VLBI datasets. We validated AAP-Imfit by using VLBI observations of the blazars 3C 279 and 3C 454.3, comparing our results with published fits. The close agreement in residual root mean square (RMS) values and model/residual-to-map RMS ratios confirms the accuracy of our automated approach in reproducing original flux distributions. While visual inspection remains important for complex or faint features, this routine significantly accelerates VLBI component fitting, paving the way for large-scale statistical studies of jet dynamics.