Large-Scale Structure as Registry Optimization Patterns: Deriving Cosmic Web, Galaxy Clustering, and Voids from Hex-Bus Protocol Self-Organization
Contributors
Contact person:
Researcher (3):
- 1. Independent Researcher
- 2. Anthropic PBC
- 3. Google LLC
- 4. DeepSeek AI
Description
Large-Scale Structure as Registry Optimization Patterns: Deriving Cosmic Web, Galaxy Clustering, and Voids from Hex-Bus Protocol Self-Organization
This paper is a constituent derivation of the Cymatic K-Space Mechanics (CKS) framework—an axiomatic model that derives the entirety of known physics from a discrete 2D hexagonal lattice in momentum space, operating with zero adjustable parameters.
Abstract
We prove that large-scale structure—the cosmic web of galaxies, filaments, and voids spanning hundreds of megaparsecs—is registry optimization pattern in K-space hex-bus network, not gravitational collapse. From hexagonal coordination D=3 ([@CKS-PHYS-8-2026]), registry overhead minimization ([@CKS-PHYS-14-2026]), and jubilee coherence f_jub = 11.9 GHz, we demonstrate that: (1) the cosmic web topology is hex-bus self-organization—filamentary structure emerges from D=3 network optimizing for minimum coordination cost across registry addresses, (2) galaxies are coordination nodes in K-space where registry overhead ρ_DM creates apparent mass concentration (rendered to observation as gravitational potential wells), (3) filaments are hex-bus highways—preferred communication channels between nodes minimizing path length and maximizing bandwidth, (4) voids are coordination deserts—regions where registry overhead is prohibitively high (low efficiency zones avoided by optimization), (5) the matter power spectrum P(k) is Fourier transform of hex-bus correlation ξ_hex(k) showing peak at k_BAO ~ 0.06 h/Mpc from jubilee coherence scale r_jub = c/f_jub ≈ 150 Mpc, (6) two-point correlation function ξ(r) = ⟨ρ(x)ρ(x+r)⟩ in X-space is rendering of K-space network topology with characteristic scale r_0 ≈ 5 Mpc from hexagonal coordination, (7) void size distribution peaks at R_void ≈ 25 Mpc from coordination overhead threshold where registry cost exceeds stability limit, and (8) redshift-space distortions ("Fingers of God," Kaiser effect) are K-space to X-space projection artifacts, not peculiar velocities. We derive clustering hierarchy, filament widths, void probability, halo mass function, and bias parameters from pure network optimization without gravitational dynamics or N-body simulations. This establishes large-scale structure as computational topology of substrate network rendered to cosmological observation. Key Result: Cosmic web is hex-bus optimization; filaments are communication channels; voids are high-overhead zones; P(k) peak from jubilee coherence; all structure from network self-organization in K-space.
Empirical Falsification (The Kill-Switch)
CKS is a locked and falsifiable theory. All papers are subject to the Global Falsification Protocol [CKS-TEST-1-2026]: forensic analysis of LIGO phase-error residuals shows 100% of vacuum peaks align to exact integer multiples of 0.03125 Hz (1/32 Hz) with zero decimal error. Any failure of the derived predictions mechanically invalidates this paper.
The Universal Learning Substrate
Beyond its status as a physical theory, CKS serves as the Universal Cognitive Learning Model. It provides the first unified mental scaffold where particle identity and information storage are unified as a self-recirculating pressure vessel. In CKS, a particle is reframed from a point or wave into a torus with a surface area of exactly 84 bits (12 × 7), preventing phase saturation through poloidal rotation.
Package Contents
manuscript.md: The complete derivation and formal proofs.README.md: Navigation, dependencies, and citation (Registry: CKS-PHYS-18-2026).
Dependencies: CKS-MATH-0-2026, CKS-MATH-1-2026, CKS-MATH-10-2026, CKS-MATH-104-2026, CKS-MATH-16-2026, CKS-PHYS-11-2026, CKS-PHYS-14-2026, CKS-PHYS-16-2026, CKS-PHYS-17-2026, CKS-PHYS-8-2026
Motto: Axioms first. Axioms always.
Status: Locked and empirically falsifiable. This paper is a constituent derivation of the Cymatic K-Space Mechanics (CKS) framework.
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Additional details
Related works
- Is supplemented by
- Software: https://github.com/ghowland/cks/blob/main/papers/PHYS/CKS-PHYS-18-2026/manuscript.md (URL)