Distinguishing Dynamical Dark Matter at the LHC

摘要: Dynamical dark matter (DDM) is a new framework for dark-matter physics in which the sector comprises an ensemble of individual component fields collectively conspire to act ways that transcend those normally associated with matter. Because its non-trivial structure, this DDM --- unlike most traditional candidates cannot be characterized terms single mass, decay width, or set scattering cross-sections, but must instead described by parameters describe collective behavior constituents. Likewise, components such need not stable so long as lifetimes are balanced against cosmological abundances across whole. In paper, we investigate prospects identifying at LHC and distinguishing candidate from characteristic models. particular, focus on scenarios produced colliders alongside some number Standard-Model particles via decays additional heavy fields. The invariant-mass distributions these turn out possess several unique features replicated We demonstrate many situations it possible differentiate between basis distributions. Moreover, our results also apply more generally variety other extensions Standard Model involve multiple metastable neutral particles.