Ongoing Project:

  • Research on Galaxy-Halo Clustering within Cosmic Void using Constrained Simulation
    Department of Astronomy, USTC
    πŸ“… 2025.8 – present
    πŸ§‘β€πŸ« Supervisor: Prof. Huiyuan Wang

    • Project Overview: Investigating the significant discrepancy where observed dwarf galaxy clustering around cosmic voids exceeds theoretical predictions. Utilizing ELUCID constrained simulations to construct halo catalogs that strictly match the SDSS DR7 observational volume for direct comparison.
    • Statistical Analysis: Calculated the Galaxy-Void Two-Point Cross-Correlation Function (2PCCF) to quantify the clustering signal ; extending the analysis to TNG100 hydrodynamic simulations to verify whether standard galaxy formation models can reproduce this anomaly across different mass ranges.
    • Mechanism Study: Exploring the physical origins of the signal by analyzing secondary dependencies (e.g., color, SΓ©rsic index) ; testing the impact of Halo Assembly Bias in low-density environments to refine the galaxy-halo connection model.
  • Research on Dark Energy Model Department of Astronomy, USTC
    πŸ“… 2025.12 – present
    πŸ§‘β€πŸ« Supervisor: Prof. Wenjuan Fang


Past Project:

  • Research on Frontier Topics in Modern Cosmology
    National Astronomical Observatories, Chinese Academy of Sciences
    πŸ“… 2024.8 – 2025.7
    πŸ§‘β€πŸ« Supervisor: Prof. Hongming Zhu

    Main Outcomes:

    • Reproduced N-body simulation and power spectrum estimator in Python; verified results using Quijote simulations (NGP/CIC).
    • Developed a GitHub repository for reproducible code and analysis.