24–28 Aug 2026
Leiden University
Europe/Zurich timezone

Simulation-based Inference for cluster cosmology

Not scheduled
15m
Gorlaeus gebouw (Leiden University)

Gorlaeus gebouw

Leiden University

Einsteinweg 55, 2333 CC Leiden
Poster

Speaker

Sut Ieng Tam (Institute of Physics, National Yang Ming Chiao Tung University)

Description

Galaxy clusters provide a powerful probe of the growth of cosmic structure and the amplitude of matter fluctuations. We present a cosmological analysis of XMM-XXL galaxy clusters using Hyper Suprime-Cam (HSC) weak-lensing data within a simulation-based inference (SBI) framework. We jointly model the cluster redshift distribution, stacked weak-lensing profiles, and X-ray temperature and luminosity distributions to simultaneously constrain cosmological parameters and cluster observable–mass scaling relations. This unified forward-modeling approach enables self-consistent mass calibration while accounting for the survey selection function.

Our analysis yields robust constraints on cosmological parameters, in particular Ωm and σ8, while marginalizing over key systematic uncertainties. This work demonstrates that joint cluster abundance and weak-lensing analyses within an SBI framework provide a competitive approach for precision cosmology. The methodology is readily extendable to multi-wavelength datasets and future surveys, offering a robust path toward improved constraints on structure growth and cosmology.

Other topic / keywords: Weak Lensing, Cluster Cosmology

Author

Sut Ieng Tam (Institute of Physics, National Yang Ming Chiao Tung University)

Presentation materials

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