SDSS MANGA Morphology Deep Learning Dataset
English
United States, Salt Lake City
File Name ↓ File Size
数据描述

The dataset is a collection of deep learning-based morphological classifications for galaxies observed by the MaNGA survey, stored within the SDSS Science Archive Server at the path /sas/dr17/env/MANGA_MORPHOLOGY/deep_learning/. This data consists of directories and files organized by version (1.1.1) and dated July 2021, serving as a resource for researchers to analyze galaxy structures derived from automated deep learning models.
data.sdss.org
IP: 155.101.19.133
加载中...
相关论文
1A high-significance detection of primordial tidal torque imprints
Ming-Jie Sheng•Hao-Ran Yu•Min Bao•Bing-Hang Chen•Fang-Na Shao等 11 人
Nature Astronomy
2026
•2026/8/5
•00 p.1-8
Tidal-torque theory predicts that galaxy angular momenta are imprinted by the primordial tidal field acting on proto-structures and that they can retain information about the early Universe through cosmic evolution. Here we test this prediction by comparing observed galaxy angular momentum vectors w...
CosmologyGalaxies and clusters
10.1038/S41550-026-02948-W
ISSN:2397-3366