Dark matter is empirically inferred to be clumpy across scales, from galactic haloesto substructure. We develop a disciplined pipeline for converting a structured thought-experiment visualization of clumps (spherical cores with fine non-luminous threads,granular inflow, episodic breathing, and a repeatable “smile → burst → yawn” sequence)into a falsifiable phenomenology and a minimal dynamical model. The reduced modelis a primed nonlinear breathing oscillator driven by finite-duration high-count burstblocks, with the microflash storm represented by a self-exciting cascade in the high-N limit. We map the resulting constraints onto coherent dark-sector candidates,emphasizing self-interacting fuzzy dark matter (Gross–Pitaevskii–Poisson; GPP) as aneconomical microphysical realization with coherence/memory, interference granularity,and vorticity/defect dynamics. A numerical demonstration reproduces doublets withA2 > A1 and a parameter sweep delineates the amplified regime. We conclude withfalsifiable predictions (including high-N scaling hypotheses) and a simulation-readydiagnostic checklist.
SIKX HILTON (Tue,) studied this question.