Dark Energy Survey 中的异常星系图像及其使用无监督机器学习的识别【英文版】

英文标题：Outlier galaxy images in the Dark Energy Survey and their identification with unsupervised machine learning中文摘要：利用基于机器学习的自动检测方法，成功从 Dark Energy Survey 的首个数据版本中检测到 250 个异常天体，可实现对海量数据的异常点位识别和降维处理，以及减轻了手动检查的工作量。英文摘要：The Dark Energy Survey is able to collect image data of an extremely largenumber of extragalactic objects, and it can be reasonably assumed that manyunusual objects of high scientific interest are hidden inside these data. Dueto the extreme size of DES data, identifying these obje