activity
20232026
most citedLow surface brightness galaxies from BASS+MzLS with Machine Learning

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.HE2026

SN 2024abfl: A Low-Luminosity Type IIP Supernova in NGC 2146 from a Low-Mass Red Supergiant Progenitor

Xiaohan Chen, Ning-Chen Sun, Qiang Xi +44

Type IIP supernovae (SNe IIP) exhibit a significant diversity in their explosion properties, yet the physical mechanisms driving this diversity remain unknown. In this work, we pre…

astro-ph.IM2025

The Mini-SiTian Array: real-bogus classification using deep learning

Jing-Hang Shi, Hong-Rui Gu, Yang Huang +2

The Mini-SiTian (MST) project is a pathfinder for China's next-generation large-scale time-domain survey, SiTian, aimed at discovering variable stars, transients, and explosive eve…

astro-ph.IM2024

StarWhisper Telescope: An AI framework for automating end-to-end astronomical observations

Cunshi Wang, Yu Zhang, Yuyang Li +25

The exponential growth of large-scale telescope arrays has boosted time-domain astronomy development but introduced operational bottlenecks, including labor-intensive observation p…

astro-ph.GA2024★ 2 cited

Low surface brightness galaxies from BASS+MzLS with Machine Learning

Peng-Liang Du, Wei Du, Bing-Qing Zhang +3

From 5000 deg of the combination of the Beijing-Arizona Sky Survey (BASS) and Mayall -band Legacy Survey (MzLS) which is also the northern sky region of the Dark En…

astro-ph.GA2023

Star-forming Main Sequence of Giant Low Surface Brightness Galaxies

Wei Du, Cheng Cheng, Pengliang Du +2

Giant Low Surface Brightness Galaxies (GLSBGs) are fundamentally distinct from normal galaxies (LSBGs) in star formation and evolution. In this work, we collected 27 local GLSBGs.…