The 3rd Shanghai Assembly on Cosmology and Structure Formation

Session

Galaxies 5

Nov 21, 2025, 2:00 PM

S500

Conveners

Galaxies 5

• Zhongxu Zhai (Shanghai Jiao Tong University)

32. Dependence of halo properties on central-satellite magnitude gaps through weak lensing measurements

Mingtao Yang (Shanghai Jiao Tong University)

11/21/25, 2:00 PM

Galaxy Formation and Evolution

Talk

The magnitude gap between the central and satellite galaxies encodes information about the mass accretion history of a dark matter halo, and serves as a useful observational probe for the mass distribution in a halo. In this work, we perform the first weak lensing test of the connections between the magnitude gap and the halo profile. We measure the halo profiles of isolated central galaxies...

40. Measuring Galaxy Conditional Luminosity Function (CLF) towards Lower Halo Mass and Higher Redshift (z ~ 1)

Ce Gao (Tsinghua University)

11/21/25, 2:15 PM

Galaxy Formation and Evolution

Talk

Conditional Luminosity Function (CLF) means the Luminosity Function (LF) of a similar dark halo mass. It is more meaningful from the perspective of the galaxy-halo connection. CLFs of halo mass $M_h > 10^{12} 𝑀_\odot$ at z~0 have been measured down to rather faint luminosity reliably. In this work, we combined the DESI SV3 spectroscopic group central galaxies and the HSC photometric galaxies,...

53. Improve the modeling of bulge formation through galaxy mergers in semi-analytic model

Lizhi Xie (Tianjin Normal University)

11/21/25, 2:30 PM

Galaxy Formation and Evolution

Talk

Morphology is one of the fundamental characteristics of galaxies, yet reproducing it has long been a challenge for semi-analytic models. These models typically overpredict bulge-dominated massive galaxies and disk-dominated low-mass galaxies. I will introduce how we improve the model performance by modifying the bulge formation through galaxy mergers.
The improved approach takes use of the...

86. A GNN-based emulator for semi-analytical model of galaxy formation and evolution

Xuejie Li (Shanghai Jiao Tong University)

11/21/25, 2:45 PM

Galaxy Formation and Evolution

Talk

Understanding how galaxies form and evolve is essential for advancing our knowledge of cosmic structure formation. However, generating large ensembles of mock galaxy catalogs through traditional semi-analytic models (SAMs) remains computationally prohibitive, especially when exploring wide ranges of physical parameters. In this work, we present a graph-neural-network-based emulator that...