Theoretical Uncertainties due to AGN Subgrid Models in Predictions of Galaxy Cluster Observable Properties
H.-Y. K. Yang, P. M. Sutter, P. M. Ricker

TL;DR
This study quantifies the theoretical uncertainties in galaxy cluster observable predictions caused by different AGN subgrid models, highlighting the impact on key properties and scaling relations relevant for cosmology.
Contribution
It provides a detailed sensitivity analysis of AGN feedback models in simulations, identifying key parameters affecting predictive accuracy and cluster property uncertainties.
Findings
Gas density-sensitive quantities have larger uncertainties (~20% for Mgas, ~2x for Lx).
Temperature and integrated Compton-y are more robust (~10-20%).
AGN feedback influences scaling relations and intrinsic scatter, especially in Mgas-Tx and Lx-Tx relations.
Abstract
Cosmological constraints derived from galaxy clusters rely on accurate predictions of cluster observable properties, in which feedback from active galactic nuclei (AGN) is a critical component. In order to model the physical effects due to supermassive black holes (SMBH) on cosmological scales, subgrid modeling is required, and a variety of implementations have been developed in the literature. However, theoretical uncertainties due to model and parameter variations are not yet well understood, limiting the predictive power of simulations including AGN feedback. By performing a detailed parameter sensitivity study in a single cluster using several commonly-adopted AGN accretion and feedback models with FLASH, we quantify the model uncertainties in predictions of cluster integrated properties. We find that quantities that are more sensitive to gas density have larger uncertainties (~20%…
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