Direct detection of self-interacting dark matter
Mark Vogelsberger (1), Jesus Zavala (2,3) ((1) Harvard/CfA, (2) UW,, (3) PI)

TL;DR
This study explores how different self-interacting dark matter models affect direct detection signals, revealing distinct signatures in recoil rates and modulation patterns that could help differentiate these models.
Contribution
First analysis of dark matter detection signals incorporating various self-scattering models, highlighting their impact on recoil and modulation signatures.
Findings
Self-interaction can reduce high-energy recoil rates by about 10%.
Annual modulation amplitude can increase by up to 25%.
Phase reversal timing can shift by about a week between models.
Abstract
Self-interacting dark matter offers an interesting alternative to collisionless dark matter because of its ability to preserve the large-scale success of the cold dark matter model, while seemingly solving its challenges on small scales. We present here the first study of the expected dark matter detection signal taking into account different self-scattering models. We demonstrate that models with constant and velocity dependent cross sections, which are consistent with observational constraints, lead to distinct signatures in the velocity distribution, because non-thermalised features found in the cold dark matter distribution are thermalised through particle scattering. Depending on the model, self-interaction can lead to a 10% reduction of the recoil rates at high energies, corresponding to a minimum speed that can cause recoil larger than 300 km/s, compared to the cold dark matter…
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