A Minimalist Merger Interpretation of XRISM's Gas Velocity Measurements in the Coma Cluster
Congyao Zhang, Eugene Churazov, Ildar Khabibullin, Natalya Lyskova, Norbert Werner, Irina Zhuravleva
TL;DR
The paper addresses how XRISM's velocity maps of the Coma cluster can be interpreted, demonstrating that an off-axis minor merger in an early phase can drive large-scale bulk motions and a modest core dispersion comparable to observations, with v_core ≈ -500 km s^{-1}, a gradient of ≈500 km s^{-1} over ≈400 kpc, and σ_los ≈ 100–200 km s^{-1}. Using an idealized Arepo simulation of a merger with a mass ratio around 6, initial speed ~500 km s^{-1}, and i ≈ 30–40°, the authors reproduce the key velocity features at t ≈ 1 Gyr after pericenter, including a strong LOS bulk velocity in the core and limited central turbulence. They introduce and apply the velocity-ratio diagnostic, u_los/σ_los, showing that Coma’s measured values (negative and broad) are inconsistent with Gaussian turbulence, consistent with a transient merger-driven state and not fully developed cascade. The results emphasize the need for tailored, cluster-specific simulations to interpret XRISM data and suggest a simple, robust diagnostic for identifying the dominant motion scales in the ICM.
Abstract
The recent microcalorimetric X-ray observations of the Coma cluster by XRISM have sparked active discussion regarding the physical origin of its gas velocity features. Here, we demonstrate that an off-axis minor merger in its early phase $-$ when the infalling subhalo is near its primary apocenter and the stripped tail is not yet mixed with the main cluster atmosphere $-$ can drive intracluster gas motions generally consistent with the XRISM results. These include a pronounced velocity gradient and an approximately uniform velocity dispersion of $\simeq100-200\,\rm{km\,s^{-1}}$ in the cluster core. Our merger scenario was originally suggested in Lyskova et al. (2019) to reproduce the major X-ray morphological features of Coma. In addition, we introduce a simple and robust diagnostic of intracluster gas motions based on the ratio of the line-of-sight velocity to the velocity dispersion.
