How Baryonic Processes affect Strong Lensing properties of Simulated Galaxy Clusters
Madhura Killedar, Stefano Borgani, Massimo Meneghetti, Klaus Dolag,, Dunja Fabjan, Luca Tornatore

TL;DR
This study investigates how different baryonic physics implementations in galaxy cluster simulations influence strong lensing properties, revealing that baryonic effects can significantly alter lensing predictions but do not fully resolve existing observational tensions.
Contribution
It provides a comprehensive analysis of baryonic processes' impact on strong lensing in simulated galaxy clusters across multiple physics models.
Findings
Gas cooling and star formation increase giant arc numbers and Einstein radii.
AGN feedback reduces lensing efficiencies to levels similar to dark matter only simulations.
Baryonic physics alone does not resolve the arc-statistics problem at low redshifts.
Abstract
The observed abundance of giant arcs produced by galaxy cluster lenses and the measured Einstein radii have presented a source of tension for LCDM. Previous cosmological tests for high-redshift clusters (z>0.5) have suffered from small number statistics in the simulated sample and the implementation of baryonic physics is likely to affect the outcome. We analyse zoomed-in simulations of a fairly large sample of cluster-sized objects, with Mvir > 3x10^14 Msun/h, identified at z=0.25 and z=0.5, for a concordance LCDM cosmology. We start with dark matter only simulations, and then add gas hydrodynamics, with different treatments of baryonic processes: non-radiative cooling, radiative cooling with star formation and galactic winds powered by supernova explosions, and finally including the effect of AGN feedback. We find that the addition of gas in non-radiative simulations does not change…
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.
