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From the 1 of 8 linked papers with an AI index.

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8 papers

astro-ph.GA2026

Physical Properties of 6.7 Million Galaxies from the DESI Bright Galaxy Survey: Spectral Fitting and Systematic Tests with Mock Spectra

Niu Li, Hu Zou, Jinfu Gou +7

We present a comprehensive analysis of the physical properties of galaxies in the Dark Energy Spectroscopic Instrument (DESI) Data Release 1 (DR1) Bright Galaxy Survey (BGS), based…

astro-ph.GA2026

Environmental Imprints on the Assembly of the Cool Gas around Bright Cluster Galaxies

Runyu Zhu, Hu Zou, Taotao Fang +14

The paper statistically maps cool gas around massive brightest cluster galaxies at z≈0.55 using Mg II absorption from stacked DESI quasar spectra, finding suppressed circumgalactic…

astro-ph.GA2026

Comparative analysis of missing data imputation methods for CSST survey: Impact on photometric redshift estimation performance

Ling Wang, Zhu Chen, Zhijian Luo +42

Improving the accuracy of photometric redshifts (photo-) is essential for reliable statistical studies of cosmology and galaxy evolution. However, missing photometric bands are…

astro-ph.GA2026

Extremely Metal-Poor Galaxies in DESI DR1: Connections to Galaxies in the Early Universe

Jipeng Sui, Hu Zou, Dirk Scholte +43

Extremely Metal-Poor Galaxies (XMPGs), defined as having metallicities below 10\% of the solar value, are considered possible local analogs to primordial systems and offer a unique…

astro-ph.GA2025

Galaxy clusters from the DESI Legacy Imaging Surveys -- III. Star-forming fraction of brightest cluster galaxies

Shufei Liu, Hu Zou, Jinfu Gou +10

This study investigates the evolution of the star-forming fraction () of Brightest Cluster Galaxies (BCGs) at , using the galaxy clusters identified from th…

astro-ph.GA2025

Characterizing the Palomar 5 Stream: HDBSCAN Analysis and Galactic Halo Constraints

Yun-Ao Xiao, Hu Zou, Lu Feng +8

We utilize the DESI Legacy Imaging Surveys DR10 to investigate the previously undetected faint extension of the Palomar 5 stellar stream. By applying the HDBSCAN clustering algorit…