UniverseTBD/mmu_ssl_legacysurvey_north

该数据集基于Legacy Surveys Data Release 9的北天部分，包含来自北京-亚利桑那巡天（BASS）和Mayall z波段Legacy巡天（MzLS）的（g、r、z）波段图像，这些图像通过Legacy Surveys流程处理。数据集由1500万个星系图像切块（152×152像素）组成，覆盖三个光学波段（g、r、z），像素尺度为0.262角秒。每个图像都与Legacy Survey目录的测量值相关联。该数据集用于构建自监督表示学习模型、识别强引力透镜效应以及开发图像-光谱对比学习模型。数据集包括基于特定标准（扩展天体、星等截断和质量标志）选择的星系，未进行超出原始数据集的进一步处理。

This dataset is based on the northern sky component of the Legacy Surveys Data Release 9. It includes (g, r, z) images from the Beijing-Arizona Sky Survey (BASS) and the Mayall z-band Legacy Survey (MzLS), processed through the Legacy Surveys pipeline. The dataset consists of 15 million galaxy image cutouts (152 × 152 pixels) in three optical bands (g, r, z) at a pixel scale of 0.262 arcsec. Each image is associated with measurements from the Legacy Survey catalog. This dataset was used to build a self-supervised representation learning model, to identify strong gravitational lensing, and to develop an image-spectrum contrastive learning model. The dataset includes galaxies selected based on specific criteria (extended objects, magnitude cuts, and quality flags). No further processing is applied beyond the original dataset.