Super Interacting Dark Sector: An Improvement on Self-Interacting Dark Matter via Scaling Relations of Galaxy Clusters
Mahdi Naseri, Javad T. Firouzjaee

TL;DR
This paper introduces a new density profile for galaxy clusters in self-interacting dark matter models, analyzes scaling relations, and proposes a hybrid model that modifies the mass-temperature relation, with implications for dark matter properties.
Contribution
It presents a new density profile function, investigates scaling relations in self-interacting dark matter, and introduces a hybrid model linking dark matter interactions with dark energy.
Findings
Self-interacting dark matter predicts more massive halos at fixed temperature.
The new density profile accurately describes simulation results.
The hybrid model modifies the mass-temperature relation to resemble non-interacting models.
Abstract
Self-interacting dark matter is known as one of the most appropriate candidates for dark matter. Due to its excellent success in removing many astrophysical problems, particularly in small scale structure, studying this model has taken on added significance. In this paper, we focus on the results of two previously performed simulations of cluster sized halos with self-interacting dark matter and introduce a new function for the density profile of galaxy clusters, which can perfectly describe the result of these simulations. This density profile helps to find a velocity dispersion profile and also a relation between cluster mass and concentration parameter. Using these relations, we investigate two scaling relations of galaxy clusters, namely mass-velocity dispersion and mass-temperature relations. The scaling relations reveal that in the self-interacting dark matter model, halos are…
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