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

数据描述

SDSS MANGA Morphology Deep Learning Dataset

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
访问数据源
加载中...

相关论文

1

A high-significance detection of primordial tidal torque imprints

Ming-Jie ShengHao-Ran YuMin BaoBing-Hang ChenFang-Na Shao11
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