activity
20222026
most citedThe Mass-Metallicity Relation of Dwarf Galaxies at Cosmic Noon from JWST Observations

50 citations · 81 across the 16 of their papers we have counts for

collaborators

17 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.CO2025

Cosmological Constraints from Full-Scale Clustering and Galaxy-Galaxy Lensing with DESI DR1

Johannes U. Lange, Alexandra Wells, Andrew Hearin +76

We present constraints on cosmic structure growth from the analysis of galaxy clustering and galaxy--galaxy lensing with galaxies from the Dark Energy Spectroscopic Instrument (DES…

astro-ph.IM2025

Mephisto: Self-Improving Large Language Model-Based Agents for Automated Interpretation of Multi-band Galaxy Observations

Zechang Sun, Yuan-Sen Ting, Yaobo Liang +3

Astronomical research has long relied on human expertise to interpret complex data and formulate scientific hypotheses. In this study, we introduce Mephisto -- a multi-agent collab…

astro-ph.CO2025

A Unified Photometric Redshift Calibration for Weak Lensing Surveys using the Dark Energy Spectroscopic Instrument

Johannes U. Lange, Diana Blanco, Alexie Leauthaud +61

The effective redshift distribution of galaxies is a critical component in the study of weak gravitational lensing. Here, we introduce a new method for determining fo…

astro-ph.GA2025

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…

astro-ph.GA2025★ 2 cited

Zangetsu: A Candidate of Isolated, Quiescent, and Backsplash Ultra-Diffuse Galaxy in the COSMOS Field

Leyao Wei, Song Huang, Jiaxuan Li +3

Deep imaging surveys have changed our view of the low surface brightness (LSB) Universe. The ``renaissance'' of the LSB galaxy population, as a prime example of this recent develop…

astro-ph.GA2025

Luminous Mid-IR Selected Type-2 Quasars at Cosmic Noon in SDSS Stripe82 I: Selection, Composite Photometry, and Spectral Energy Distributions

Ben Wang, Joseph F. Hennawi, Zheng Cai +6

We analyze 23 spectroscopically confirmed Type-2 quasars (QSOs) selected from the WISE 22m band in the SDSS Stripe 82 region, focusing on their multi-band photometry and spe…

astro-ph.CO2024

Measuring the Mean Free Path of HI Ionizing Photons at with DESI Y1 Quasars

Anning Gao, Jason X. Prochaska, Zheng Cai +31

The mean free path of ionizing photons () in the intergalactic medium (IGM) is a crucial quantity in modelling the ionization state of IGM and the extragalact…

astro-ph.IM2024★ 3 cited

Interpreting Multi-band Galaxy Observations with Large Language Model-Based Agents

Zechang Sun, Yuan-Sen Ting, Yaobo Liang +3

Astronomical research traditionally relies on extensive domain knowledge to interpret observations and narrow down hypotheses. We demonstrate that this process can be emulated usin…

astro-ph.IM2024★ 1 cited

Knowledge Graph in Astronomical Research with Large Language Models: Quantifying Driving Forces in Interdisciplinary Scientific Discovery

Zechang Sun, Yuan-Sen Ting, Yaobo Liang +3

Identifying and predicting the factors that contribute to the success of interdisciplinary research is crucial for advancing scientific discovery. However, there is a lack of metho…

astro-ph.CO2024★ 5 cited

Probing the cosmic web in Ly emission over large scales: an Intensity Mapping forecast for DECaLS/BASS and DESI

Pablo Renard, Daniele Spinoso, Zechang Sun +3

Being the most prominent HI line, Ly permeates the cosmic web in emission. Despite its potential as a cosmological probe, its detection on large scales remains elusive. We prese…

astro-ph.IM2023★ 1 cited

Zephyr : Stitching Heterogeneous Training Data with Normalizing Flows for Photometric Redshift Inference

Zechang Sun, Joshua S. Speagle, Song Huang +2

We present zephyr, a novel method that integrates cutting-edge normalizing flow techniques into a mixture density estimation framework, enabling the effective use of heterogeneous…

astro-ph.GA2023

DESI survey validation data in the COSMOS/HSC field: Cool gas trace main sequence star-forming galaxies at the cosmic noon

Siwei Zou, Linhua Jiang, Zheng Cai +23

We present the first result in exploring the gaseous halo and galaxy correlation using the Dark Energy Spectroscopic Instrument (DESI) survey validation data in the Cosmic Evolutio…

astro-ph.CO2022★ 19 cited

Quasar Factor Analysis -- An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis

Zechang Sun, Yuan-Sen Ting, Zheng Cai

Since their first discovery, quasars have been essential probes of the distant Universe. However, due to our limited knowledge of its nature, predicting the intrinsic quasar contin…

astro-ph.GA2022★ 50 cited

The Mass-Metallicity Relation of Dwarf Galaxies at Cosmic Noon from JWST Observations

Mingyu Li, Zheng Cai, Fuyan Bian +13

We present a study of the mass-metallicity relation (MZR) of 51 dwarf galaxies () at from the Abell 2744 and SMACS J0723-3732…

astro-ph.CO2022

An Unsupervised Learning Approach for Quasar Continuum Prediction

Zechang Sun, Yuan-Sen Ting, Zheng Cai

Modeling quasar spectra is a fundamental task in astrophysics as quasars are the tell-tale sign of cosmic evolution. We introduce a novel unsupervised learning algorithm, Quasar Fa…