Constraining the cross-section of dark matter with giant radial arcs in galaxy clusters
arXiv:2006.08596 · doi:10.1093/mnras/staa3235
Abstract
We compare the statistics and morphology of giant arcs in galaxy clusters using N-body and non-radiative SPH simulations within the standard cold dark matter model and simulations where dark matter has a non-negligible probability of interaction (parametrized by its cross-section), i.e self-interacting dark matter (SIDM). We use a ray-tracing technique to produce a statistically large number of arcs around six simulated galaxy clusters at different redshifts. Since dark matter is more likely to interact in colliding clusters than in relaxed clusters, and this probability of interaction is largest in denser regions, we focus our analysis on radial arcs (which trace the lensing potential in the central region better than tangential arcs) in galaxy clusters which underwent (or are undergoing) a major merger. We find that self-interacting dark matter produces fewer radial arcs than standard cold dark matter but they are on average more magnified. We also appreciate differences in the arc morphology that could be used to statistically favor one model versus the other.
12 pages, 4 figures and 2 tables
References in corpus (14)
- A direct empirical proof of the existence of dark matter
- Introducing the Illustris Project: Simulating the coevolution of dark and visible matter in the Universe
- Constraints on the Self-Interaction Cross-Section of Dark Matter from Numerical Simulations of the Merging Galaxy Cluster 1E 0657-5
- The non-gravitational interactions of dark matter in colliding galaxy clusters
- The MUSIC of CLASH: predictions on the concentration-mass relation
- The Three Hundred Project: Backsplash galaxies in simulations of clusters
- Mass distribution in the core of MACS J1206: robust modeling from an exceptionally large sample of central multiple images
- Mapping and characterisation of cosmic filaments in galaxy cluster outskirts: strategies and forecasts for observations from simulations
- The Three Hundred Project: correcting for the hydrostatic-equilibrium mass bias in X-ray and SZ surveys
- Ellipsoidal halo finders and implications for models of triaxial halo formation
- The Three Hundred Project: Ram pressure and gas content of haloes and subhaloes in the phase-space plane
- The strongest gravitational lenses: I. The statistical impact of cluster mergers
- The Three Hundred project: shapes and radial alignment of satellite, infalling, and backsplash galaxies
- The Three Hundred Project: the stellar and gas profiles
Cited by in corpus (19)
- Strong lensing signatures of self-interacting dark matter in low-mass halos
- \textsc{The Three Hundred} project: The \textsc{Gizmo-Simba} run
- The surprising accuracy of isothermal Jeans modelling of self-interacting dark matter density profiles
- Shocks in the Stacked Sunyaev-Zel'dovich Profiles of Clusters I: Analysis with the Three Hundred Simulations
- What to expect from dynamical modelling of cluster haloes II. Investigating dynamical state indicators with Random Forest
- The Three Hundred: Cluster Dynamical States and Relaxation Time Scale
- Beyond the Ultra-deep Frontier Fields And Legacy Observations (BUFFALO): a high-resolution strong + weak-lensing view of Abell 370
- What to expect from dynamical modelling of cluster haloes I. The information content of different dynamical tracers
- The Three Hundred Project: the evolution of physical baryon profiles
- Intrinsic mass-richness relation of clusters from THE THREE HUNDRED hydrodynamic simulations
- The THREEHUNDRED project: the effect of baryon processes at galaxy cluster scale
- The Three Hundred Project hydrodynamical simulations: Hydrodynamical weak-lensing cluster mass biases and richnesses using different hydro models
- The Three Hundred Project: The stellar angular momentum evolution of cluster galaxies
- What Multiple Images Say About the Large-Scale Mass Maps of Galaxy Clusters
- Constraints on dark matter models from the stellar cores observed in ultra-faint dwarf galaxies: Self-interacting dark matter
- Unequal-mass mergers of dark matter haloes with rare and frequent self-interactions
- Cosmological simulations with rare and frequent dark matter self-interactions
- Deep Learning generated observations of galaxy clusters from dark-matter-only simulations
- The effects of self-interacting dark matter on the stripping of galaxies that fall into clusters