Cosmology with X-RAY galaxy cluster surveys ?

TL;DR

This paper discusses advances in using X-ray galaxy cluster surveys for cosmology, emphasizing a forward modeling approach and AI techniques to improve parameter estimation and reduce reliance on traditional mass calculations.

Contribution

It introduces a novel application of AI on simulations to bypass complex scaling relations, enabling direct access to cosmological parameters and physical processes.

Findings

Successful application of forward modeling to X-ray cluster data

Reduction of free parameters in cosmological analysis

Potential for improved accuracy without explicit mass measurements

Abstract

This talk reviews the scientific motivations, the potential difficulty and recent advances in cosmology using cluster number-counts in the X-ray band. Our forward modelling approach shows that many of the practical and conceptual shortcomings can now be overcome. We present recent results from the XMM-XXL survey. The next step is to apply artificial intelligence techniques on simulations. This allows us to bypass the unnecessarily complicated scaling relation formalism. The net gain is to significantly reduce the number of free parameters and to provide direct access both to the cosmological parameters and to truly physical ingredients, such as AGN feedback. In this way, we achieve cluster cosmology without explicit cluster mass calculation.