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Found 3 papers, 1 papers with code
A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model
Hence, as an example to present how to overcome the issue, we built a framework for general analysis of galaxy images, based on a large vision model (LVM) plus downstream tasks (DST), including galaxy morphological classification, image restoration, object detection, parameter extraction, and more.
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation
We further enhance our model by tuning the VAE network via DA using galaxies in the overlapping footprint of DECaLS and BASS+MzLS, enabling the unbiased application of our model to galaxy images in both surveys.
Compact Groups of Galaxies in Sloan Digital Sky Survey and LAMOST Spectral Survey. II. Dynamical Properties of Isolated and Embedded Groups
In this study, by matching the largest local CG catalog of Zheng & Shen (2020) to the halo based group catalog of Yang et al. (2007), we find that the CGs are physically heterogenous systems and can be mainly separated into two categories, the isolated systems and those embedded in rich groups or clusters.
Astrophysics of Galaxies
