标题： 使用AnomalyMatch识别哈勃遗产档案中9960万张剪裁图像中的天体物理异常 显示英文标题

标题： Identifying Astrophysical Anomalies in 99.6 Million Cutouts from the Hubble Legacy Archive Using AnomalyMatch

摘要： 天文档案包含了大量未被探索的数据，这些数据中可能蕴藏着稀有且具有科学价值的宇宙现象。我们利用新的半监督方法从哈勃遗产档案中提取这些对象。我们系统地搜索了来自整个哈勃遗产档案的大约一亿个图像切片，使用了最近开发的AnomalyMatch方法，该方法结合了半监督和主动学习技术，以高效检测天体异常。这项全面的搜索迅速揭示了许多天体异常现象，显著扩展了已知稀有物体的清单。我们的发现包括138个新的引力透镜候选体、18个 jellyfish 星系和417个合并或相互作用的星系。我们迭代检测策略的效率和准确性使我们能够在仅仅2到3天内遍历整个档案，突显了其在大规模天文调查中的潜力。我们详细概述了这些新识别的对象，讨论了它们的天文学意义，并展示了AnomalyMatch在高效探索广泛的天文数据集方面的巨大潜力，包括即将发布的欧几里得卫星数据。 显示英文摘要

摘要： Astronomical archives contain vast quantities of unexplored data that potentially harbour rare and scientifically valuable cosmic phenomena. We leverage new semi-supervised methods to extract such objects from the Hubble Legacy Archive. We have systematically searched approximately 100 million image cutouts from the entire Hubble Legacy Archive using the recently developed AnomalyMatch method, which combines semi-supervised and active learning techniques for the efficient detection of astrophysical anomalies. This comprehensive search rapidly uncovered a multitude of astrophysical anomalies presented here that significantly expand the inventory of known rare objects. Among our discoveries are 138 new candidate gravitational lenses, 18 jellyfish galaxies, and 417 mergers or interacting galaxies. The efficiency and accuracy of our iterative detection strategy allows us to trawl the complete archive within just 2-3 days, highlighting its potential for large-scale astronomical surveys. We present a detailed overview of these newly identified objects, discuss their astrophysical significance, and demonstrate the considerable potential of AnomalyMatch to efficiently explore extensive astronomical datasets, including, e.g., upcoming Euclid data releases.