Optimization and Quality Assessment of Baryon Pasting for Intracluster Gas using the Borg Cube Simulation
F. K\'eruzor\'e, L. E. Bleem, M. Buehlmann, J.D. Emberson, N., Frontiere, S. Habib, K. Heitmann, P. Larsen

TL;DR
This study evaluates a baryon pasting algorithm's ability to accurately estimate intracluster gas properties from gravity-only simulations, achieving few-percent accuracy in reproducing key gas observables up to redshift 2.
Contribution
The paper introduces and validates a baryon pasting method that accurately infers gas properties from dark matter simulations, with quantified redshift evolution and minimal added scatter.
Findings
Achieves few-percent accuracy in gas pressure and density estimates.
Adds less than 5% to the intrinsic scatter in the Y-M scaling relation.
Effective up to redshift 2 for cluster-scale objects.
Abstract
Synthetic datasets generated from large-volume gravity-only simulations are an important tool in the calibration of cosmological analyses. Their creation often requires accurate inference of baryonic observables from the dark matter field. We explore the effectiveness of a baryon pasting algorithm in providing precise estimations of three-dimensional gas thermodynamic properties based on gravity-only simulations. We use the Borg Cube, a pair of simulations originating from identical initial conditions, with one run evolved as a gravity-only simulation, and the other incorporating non-radiative hydrodynamics. Matching halos in both simulations enables comparisons of gas properties on an individual halo basis. This comparative analysis allows us to fit for the model parameters that yield the closest agreement between the gas properties in both runs. To capture the redshift evolution of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Scientific Research and Discoveries
