activity
20232026
most citedThe Stellar Abundances and Galactic Evolution Survey (SAGES). IV. Surface Gravity Estimation and Giant-Dwarf Separation with the DDO51 Filter

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

astro-ph.EP2026

The capability of CSST in characterizing planetary atmospheres. I. transmission spectroscopy of hot Jupiters

Zibo Liu, Wei Wang, Meng Zhai +9

Transmission spectroscopy has become a primary tool for probing exoplanetary atmospheres, enabling constraints on their chemical compositions and providing limited information on t…

astro-ph.EP2026

Thermal emission spectra of the ultra-hot Jupiter WASP-33 b

Qianyi Zou, Meng Zhai, Wei Wang +12

Observations of exoplanetary atmospheres provide critical insights into their chemical composition, formation and evolution history. Ultra-hot Jupiters serve as excellent targets f…

astro-ph.SR2026

Unraveling Year-Long Radial Velocity Variations in Red Clump Region -- I: Comprehensive analysis of a K0 Giant star, 2 Draconis

Udomlerd Srisuchinwong, Jianzhao Zhou, Huan-Yu Teng +18

Slow-rotating evolved stars frequently exhibit radial velocity (RV) variations on annual timescales, complicated by instrumental systematics and aliasing in the one-year regime. He…

astro-ph.SR20251 cited

The Stellar Abundances and Galactic Evolution Survey (SAGES). IV. Surface Gravity Estimation and Giant-Dwarf Separation with the DDO51 Filter

Qiqian Zhang, Zhou Fan, Gang Zhao +16

Reliable estimation of stellar surface gravity (log ) for a large sample is crucial for evaluating stellar evolution models and understanding galactic structure; However, it is…

astro-ph.SR2025

Looking for Signs of Unresolved Binarity in the Continuum of LAMOST Stellar Spectra

Mikhail Prokhorov, Kefeng Tan, Nikolay Samus +10

We describe an attempt to derive the binarity rate of samples of 166 A-, F-, G-, and K-type stars from LAMOST DR5 and 1000 randomly selected presumably single stars from Gaia DR3 c…

astro-ph.SR2025

The Stellar Abundances and Galactic Evolution Survey (SAGES). II. Machine Learning-Based Stellar parameters for 21 million stars from the First Data Release

Hongrui Gu, Zhou Fan, Gang Zhao +14

Stellar parameters for large samples of stars play a crucial role in constraining the nature of stars and stellar populations in the Galaxy. An increasing number of medium-band pho…