Impact of systematics on cosmological parameters from future Galaxy Clusters surveys
Laura Salvati, Marian Douspis, Nabila Aghanim

TL;DR
This paper investigates how modeling uncertainties in galaxy cluster physics, especially the mass function and scaling relations, impact the precision and accuracy of cosmological parameters derived from future surveys, highlighting the need for precise modeling.
Contribution
It systematically analyzes the effects of different mass function evaluations and scaling relation calibrations on cosmological parameter constraints from future galaxy cluster surveys.
Findings
Different mass functions cause significant biases in cosmological parameters.
Higher accuracy in scaling relation calibration improves parameter constraints.
Modeling systematics can lead to biases up to 8 sigma in key parameters.
Abstract
Galaxy clusters are a recent cosmological probe. The precision and accuracy of the cosmological parameters inferred from these objects are affected by the knowledge of cluster physics, entering the analysis through the mass-observable scaling relations, and the theoretical description of their mass and redshift distribution, modelled by the mass function. In this work, we forecast the impact of different modelling of these ingredients for clusters detected by future optical and near-IR surveys. We consider the standard cosmological scenario and the case with a time-dependent equation of state for dark energy. We analyse the effect of increasing accuracy on the scaling relation calibration, finding improved constraints on the cosmological parameters. This higher accuracy exposes the impact of the mass function evaluation, which is a subdominant source of systematics for current data. We…
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