Probing the Nature of Dark Matter Self-Interactions Through Observations of Massive Black Hole Mergers
Zachary J. Hoelscher, Kelly Holley-Bockelmann, Akaxia Cruz, and N. Nicole Sanchez

TL;DR
This study explores how gravitational wave observations of massive black hole mergers by LISA could distinguish between cold dark matter and self-interacting dark matter models, offering a new method to probe dark matter physics.
Contribution
The paper demonstrates, through simulations, that LISA could potentially differentiate dark matter models based on black hole merger observations, highlighting a novel indirect detection approach.
Findings
LISA may distinguish CDM and SIDM with sufficient black hole merger data.
Approximately 70 mergers with high SNR are needed for statistical significance.
The work provides a proof of concept for gravitational wave-based dark matter studies.
Abstract
Though the nature of dark matter remains elusive, two models have come to prominence with testable predictions: cold dark matter (CDM) and self-interacting dark matter (SIDM). While CDM remains the widely accepted model, SIDM was introduced to potentially help resolve the discrepancies between the predictions of the CDM model and observational data, in particular the predicted central density profiles. Previous work involving simulations of small numbers of Milky Way-mass galaxies shows that SIDM with a constant cross section of 1 delays massive black hole (MBH) mergers as compared to CDM when the host halo has a flattened central density profile. In this work, we use mock gravitational wave observations of MBH mergers to test LISA's capability to indirectly probe dark matter physics. As a proof of concept, we use zoom-in simulations of two galaxy evolutionary histories to…
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