15 citations · 30 across the 15 of their papers we have counts for
15 papers
Discovery of a Featureless Tidal Disruption Event at z~1 with the Wide Field Survey Telescope
Jiazheng Zhu, Zelin Xu, Ning Jiang +31
We report the discovery of tidal disruption event (TDE) WFST250820mmsw/AT2025wet by the 2.5-meter Wide Field Survey Telescope (WFST). It exhibits a blue nuclear flare throughout th…
The FAST Hundred-Deg HI Deep (HD) Survey: Early Results from the Pilot Survey
Chen Xu, Yingjie Jing, Jie Wang +26
The Hundred-deg HI Deep (HD) survey carried out with the Five-hundred-meter Aperture Spherical Telescope (FAST) is planned to map a contiguous region within the DESI DR1 fo…
SDSS+JWST Census of Stellar and Nebular Dust Attenuation at -7: Mass Dependence and Redshift Evolution
Jie Song, Masami Ouchi, Tomokazu Kiyota +3
We present the demography of dust attenuation, including its mass dependence and redshift evolution, using spectroscopic samples of 34,182 SDSS galaxies at and 863 JWST/…
Robustness Analysis of USmorph: II. Optimizing Feature Extraction, Dimensionality Reduction, and Clustering for Unsupervised Galaxy Morphology Classification
Guanwen Fang, Xiaolei Yin, Yirui Zheng +5
We conduct a systematic robustness analysis of the unsupervised machine learning module within the hybrid framework \texttt{USmorph}. This module automatically discovers morphologi…
Robustness Analysis of USmorph: I. Generalization Efficiency of Unsupervised Strategies and Supervised Learning in Galaxy Morphological Classification
Shiwei Zhu, Guanwen Fang, Yao Dai +5
We conduct a systematic robustness analysis of the hybrid machine learning framework \texttt{USmorph}, which integrates unsupervised and supervised learning for galaxy morphologica…
An updated efficient galaxy morphology classification model based on ConvNeXt encoding with UMAP dimensionality reduction
Guanwen Fang, Shiwei Zhu, Jun Xu +5
We present an enhanced unsupervised machine learning (UML) module within our previous \texttt{USmorph} classification framework featuring two components: (1) hierarchical feature e…
Insights from the "Red devil" AT 2022fpx: A Dust-reddened Family of Tidal Disruption Events Excluded by Their Apparent Red Color?
Zheyu Lin, Ning Jiang, Yibo Wang +5
We report unnoticed but intriguing features in the peculiar nuclear transient AT 2022fpx, and investigate its type. These features include the constantly red optical color of $g-r>…
An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model
Guanwen Fang, Yao Dai, Zesen Lin +6
In this work, we update the unsupervised machine learning (UML) step by proposing an algorithm based on ConvNeXt large model coding to improve the efficiency of unlabeled galaxy mo…
Size Growth on Short Timescales of Star-Forming Galaxies: Insights from Size Variation with Rest-Frame Wavelength with JADES
Cheng Jia, Enci Wang, Huiyuan Wang +11
We investigate size variation with rest-frame wavelength for star-forming galaxies based on the second JWST Advanced Deep Extragalactic Survey data release. Star-forming galaxies a…
Preparation for CSST: Star-galaxy Classification using a Rotationally Invariant Supervised Machine Learning Method
Shiliang Zhang, Guanwen Fang, Jie Song +6
Most existing star-galaxy classifiers depend on the reduced information from catalogs, necessitating careful data processing and feature extraction. In this study, we employ a supe…
USmorph: An Updated Framework of Automatic Classification of Galaxy Morphologies and Its Application to Galaxies in the COSMOS Field
Jie Song, GuanWen Fang, Shuo Ba +9
Morphological classification conveys abundant information on the formation, evolution, and environment of galaxies. In this work, we refine the two-step galaxy morphological classi…
Solution to the conflict between the resolved and unresolved galaxy stellar mass estimation from the perspective of JWST
Jie Song, GuanWen Fang, Zesen Lin +2
By utilizing the spatially-resolved photometry of galaxies at in the CEERS field, we estimate the resolved and unresolved stellar mass via spectral energy distribution…
Local star-forming galaxies build up central mass concentration most actively near
Zhizheng Pan, Xianzhong Zheng, Xu Kong
To understand in what mass regime star-forming galaxies (SFGs) build up central mass concentration most actively, we present a study on the luminosity-weighted stellar age radial g…
Dwarf galaxies with the highest concentration are not thicker than ordinary dwarf galaxies
Lijun Chen, Hong-Xin Zhang, Zesen Lin +5
The formation mechanism of high-concentration dwarf galaxies is still a mystery. We perform a comparative study of the intrinsic shape of nearby low-mass galaxies with different st…
The Classification of Galaxy Morphology in H-band of COSMOS-DASH Field: a combination-based machine learning clustering model
Yao Dai, Jun Xu, Jie Song +6
By applying our previously developed two-step scheme for galaxy morphology classification, we present a catalog of galaxy morphology for H-band selected massive galaxies in the COS…