How are galaxy clusters shaped, and what does their geometry reveal about structure formation?

Triaxial modeling of intracluster gas using X-ray and Sunyaev–Zel’dovich (SZ) observations, combined with forward modeling.

Bayesian inference with MCMC to constrain intrinsic shapes and connect them to cluster shaping.

• Studied hot intracluster gas physics through joint modeling of X-ray and Sunyaev–Zel'dovich (SZ) observations following the CLUMP-3D framework.
• Implemented triaxial ellipsoidal projection models describing the three-dimensional gas density and pressure distributions of galaxy clusters.
• Developed interactive tools to visualize triaxial cluster projections.
• Performed Bayesian parameter inference using MCMC, comparing sampling behavior between emcee and redemcee.
• Fitting a 13-parameter model and exploring posterior space