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Synthetic datasets generated from large-volume gravity-only simulations arean important tool in the calibration of cosmological analyses. Their creationoften requires accurate inference of baryonic observables from the dark matterfield. We explore the effectiveness of a baryon pasting algorithm in providingprecise estimations of three-dimensional gas thermodynamic properties based ongravity-only simulations. We use the Borg Cube, a pair of simulationsoriginating from identical initial conditions, with one run evolved as agravity-only simulation, and the other incorporating non-radiativehydrodynamics. Matching halos in both simulations enables comparisons of gasproperties on an individual halo basis. This comparative analysis allows us tofit for the model parameters that yield the closest agreement between the gasproperties in both runs. To capture the redshift evolution of these parameters,we perform the analysis at five distinct redshift steps, spanning from $z=0$ to$2$. We find that the investigated algorithm, utilizing information solely fromthe gravity-only simulation, achieves few-percent accuracy in reproducing themedian intracluster gas pressure and density, albeit with a scatter ofapproximately 20%, for cluster-scale objects up to $z=2$. We measure thescaling relation between integrated Compton parameter and cluster mass($Y_{500c} | M_{500c}$), and find that the imprecision of baryon pasting addsless than 5% to the intrinsic scatter measured in the hydrodynamic simulation.We provide best-fitting values and their redshift evolution, and discuss futureinvestigations that will be undertaken to extend this work.

Optimization and Quality Assessment of Baryon Pasting for Intracluster Gas using the Borg Cube Simulation