collaborators

7 papers

astro-ph.GA2026

A Post-starburst Galaxy Undergoing Ram-pressure Stripping at Redshift 3.06

Mingyu Li, Zheng Cai, Bjorn H. C. Emonts +16

Understanding how galaxies ignite and extinguish their star formation remains a cornerstone question in modern astrophysics. Recent JWST surveys have revealed an overabundance of m…

astro-ph.GA2026

(LRDs): The Low-ReDshift Little Red Dots Survey. II. DESI DR1 Sample

Xiaojing Lin, Xiaohui Fan, Zheng Cai +12

JWST has revealed a substantial population of "Little Red Dots" (LRDs) at , challenging conventional AGN frameworks. However, the low-redshift regime remains largely unexplore…

astro-ph.GA2026

First Statistical Study of Over 100 Magnified Stellar Events at Redshift with JWST

J. M. Palencia, Fengwu Sun, J. M. Diego +25

Highly magnified stars at cosmological distances () become detectable thanks to microlensing by intracluster stars near the critical curves of galaxy clusters. Multi…

astro-ph.IM2026

Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising

Yuduo Guo, Hao Zhang, Mingyu Li +10

The detection limit of astronomical imaging observations is limited by several noise sources. Some of that noise is correlated between neighbouring image pixels and exposures, so i…

astro-ph.GA2026

Constraining the nature of active galactic nuclei through circumgalactic Lya emission at z=2-3

Shiwu Zhang, Zheng Cai, Fabrizio Arrigoni Battaia +8

We present a comprehensive analysis of circumgalactic Lya nebulae around 59 unobscured and 26 obscured quasars at z=2-3, observed with the Keck Cosmic Web Imager (KCWI), to constra…

astro-ph.GA2026

Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation

Chenrui Ma, Zechang Sun, Tao Jing +4

Observational astronomy relies on visual feature identification to detect critical astrophysical phenomena. While machine learning (ML) increasingly automates this process, models…