Spectral Search — Physics-Based Cross-Layer Search

NexusOS Spectral Search is a cross-layer search engine that treats every query as a physical signal. Your search terms are CE-encoded to a wavelength position, and results are ranked by their electromagnetic proximity to that position combined with Shannon channel coherence scoring.

This means similar concepts naturally cluster near each other in the spectral address space — not because of keyword matching, but because their CE-encoded representations occupy nearby Ψ channels.

Query encoding: input text → CE_TABLE[charCode % 128] → wavelength position
EM proximity ranking: results closest in wavelength to the query rank highest
Shannon coherence: channel signal-to-noise quality incorporated in result scoring
Cross-layer: searches nodes, agents, users, documents, and Ψ channels simultaneously