An N-body/hydrodynamical simulation study of the merging cluster El Gordo: A compelling case for self-interacting dark matter?
R. Valdarnini

TL;DR
This study uses detailed simulations of the merging galaxy cluster El Gordo to explore dark matter properties, finding that self-interacting dark matter models can explain observed features but conflict with existing upper limits, suggesting more complex physics.
Contribution
It provides the first detailed simulation-based analysis of El Gordo incorporating dark matter self-interactions, linking observed offsets to specific cross-section ranges.
Findings
Simulations match observed X-ray structures with specific collision velocities and impact parameters.
Self-interacting dark matter models reproduce observed spatial offsets between mass components.
The inferred dark matter cross-section range conflicts with current upper limits, indicating the need for more complex models.
Abstract
We use a large set N-body/hydrodynamical simulations to study the physical properties of the merging cluster El Gordo. We find that the observed X-ray structures, along with other data, can be matched fairly well by simulations with collision velocities 2,000 kms <= V <= 2,500 kms and impact parameters 600 kpc <= P <= 800 kpc. The mass of the primary is constrained to be between 10^{15} M_sun and ~ 1.6 10^{15} M_sun, in accordance with recent lensing-based mass measurements. Moreover, a returning, post-apocenter, scenario is not supported by our head-on simulations. We considered merger models that incorporate dark matter self-interactions. The simulation results show that the observed spatial offsets between the different mass components are well reproduced in self-interacting dark matter models with an elastic cross-section in the range \sigma_DM/m_X ~ 4 -5 cm^2/gr. In addition, the…
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Taxonomy
TopicsAstro and Planetary Science
