Scaling Relations in Galaxy Clusters:
Correlations among key cluster properties
Published on arXiv, Cornell University, October 2023
Shared with the international astrophysics community
Advance understanding of galaxy cluster scaling relations and structure formation
Our research investigates how galaxy clusters reveal the structure and evolution of the universe. By combining optical data from the Dark Energy Survey with X-ray observations from XMM-Newton and Chandra, we study cluster identification accuracy and the relationships between their key physical properties.
Risk Detection
Analyzed Dark Energy Survey (DES Y3) clusters with archival X-ray data
Assessed centering accuracy and sources of miscentering in redMaPPer detections
Measured how cluster richness correlates with X-ray temperature and luminosity
Conclusion
Found 10–20% of clusters are miscentered, largely due to masking or nearby bright galaxies
Quantified the bias miscentering introduces in scaling relations
Identified consistent temperature-richness trends across redshift, improving cluster characterization for cosmological studies
