Direct Detection of Dynamical Dark Matter
Keith R. Dienes, Jason Kumar, Brooks Thomas

TL;DR
This paper explores the potential for directly detecting dynamical dark matter, an ensemble of particles with varying properties, by analyzing current constraints and future detection prospects in direct-detection experiments.
Contribution
It provides a detailed analysis of the parameter space for DDM detection and discusses how future experiments could distinguish DDM from traditional dark matter.
Findings
Current experiments place significant constraints on DDM models.
Next-generation experiments have promising prospects for detecting DDM.
Distinct signatures could differentiate DDM from traditional dark matter.
Abstract
Dynamical dark matter (DDM) is an alternative framework for dark-matter physics in which the dark-matter candidate is an ensemble of constituent fields with differing masses, lifetimes, and cosmological abundances. In this framework, it is the balancing of these quantities against each other across the ensemble as a whole which ensures phenomenological viability. In this paper, we examine the prospects for the direct detection of a DDM ensemble. In particular, we study the constraints imposed by current limits from direct-detection experiments on the parameter space of DDM models, and we assess the prospects for detecting such an ensemble and distinguishing it from traditional dark-matter candidates on the basis of data from the next generation of direct-detection experiments. For concreteness, we focus primarily on the case in which elastic scattering via spin-independent interactions…
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