Projected alignment of non-sphericities of stellar, gas, and dark matter distributions in galaxy clusters: analysis of the Horizon-AGN simulation
Taizo Okabe, Takahiro Nishimichi, Masamune Oguri, S\'ebastien Peirani,, Tetsu Kitayama, Shin Sasaki, and Yasushi Suto

TL;DR
This study uses the Horizon-AGN simulation to analyze the shapes and alignments of galaxy cluster components, revealing consistent alignments across different matter distributions and with central galaxies, aiding future observational strategies.
Contribution
First comprehensive analysis of ellipticities and alignments of multiple cluster components in a realistic hydrodynamical simulation, including baryonic physics effects.
Findings
Distributions of matter, gas, and stars are well aligned with central galaxies.
Alignments between components and total matter are tighter than with central galaxies.
Results agree reasonably with observational data.
Abstract
While various observations measured ellipticities of galaxy clusters and alignments between orientations of the brightest cluster galaxies and their host clusters, there are only a handful of numerical simulations that implement realistic baryon physics to allow direct comparisons with those observations. Here we investigate ellipticities of galaxy clusters and alignments between various components of them and the central galaxies in the state-of-the-art cosmological hydrodynamical simulation Horizon-AGN, which contains dark matter, stellar, and gas components in a large simulation box of Mpc with high spatial resolution ( kpc). We estimate ellipticities of total matter, dark matter, stellar, gas surface mass density distributions, X-ray surface brightness, and the Compton -parameter of the Sunyaev-Zel'dovich effect, as well as alignments between these…
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.
