activity
20162026
most citedOverview of the DESI Milky Way Survey

150 citations · 431 across the 13 of their papers we have counts for

collaborators

14 papers

astro-ph.GA2026

A 210 Megaparsec Ionized Structure at Revealed by an Astrophysics Foundation Model

Minghao Yue, Yongda Zhu, Jiani Ding +2

Reionization is the last major transition in the Universe that transforms the intergalactic medium (IGM) from neutral to highly ionized, yet its spatial structure remains poorly co…

astro-ph.GA2026

Learning JWST. I. A Foundation Model for New Population Discoveries and Morphology-Aware Photometric Redshift Measurements in the JADES Survey

Jiani Ding, Minghao Yue, Yongda Zhu +2

We present FM-JADES-v1, a self-supervised foundation model for James Webb Space Telescope ({\em JWST}) deep-field science, trained with 482,444 objects from the {\em JWST} Advanced…

astro-ph.GA2026

Early metal-enriched baryon cycling before the midpoint of cosmic reionization

Yongda Zhu, Zhiyuan Ji, George D. Becker +13

Models predict that chemical enrichment and gas redistribution should begin rapidly once star formation starts, but direct constraints at the earliest epochs have been scarce. Here…

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.GA2022★ 150 cited

Overview of the DESI Milky Way Survey

Andrew P. Cooper, Sergey E. Koposov, Carlos Allende Prieto +62

We describe the Milky Way Survey (MWS) that will be undertaken with the Dark Energy Spectroscopic Instrument (DESI) on the Mayall 4m telescope at the Kitt Peak National Observatory…

astro-ph.GA2022★ 2 cited

Deep Learning of DESI Mock Spectra to Find Damped Lyα Systems

Ben Wang, Jiaqi Zou, Zheng Cai +14

We have updated and applied a convolutional neural network (CNN) machine learning model to discover and characterize damped Ly systems (DLAs) based on Dark Energy Spectroscopic…