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Openai/6897769e-4ee4-800f-aba5-69cca34f701c
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=== QAT’s core ingredients: === * Physics happens via photon–electron exchanges on spherical shells (4πr² boundary). * Each photon-electron coupling is a “moment” / event; counting events defines local time. * Geometry (squaring radius r², golden ratio geometry etc.) sets probabilities and coupling constants. * Conformal geometry (angles only) and surface-physics play a central role. Paths to connect to LNH: # Horizon / causal-sphere geometry: The observable Universe has a causal radius Ru∼ctR_u\sim c tRu∼ct. QAT is surface-focused: boundary area scales as 4πRu2∝t24\pi R_u^2 \propto t^24πRu2∝t2. If total emergent mass (or number of effective quantum events that produce mass) is proportional to the area of the causal boundary rather than volume, you naturally get Mu∝t2M_u \propto t^2Mu∝t2. # Integrated photon-exchange bookkeeping: If each shell (a concentric layer of emitter/absorber pairs) contributes a small mass increment (through E/c2E/c^2E/c2 bookkeeping of trapped/bound EM energy) and the number of contributing shells grows linearly with radius, integrated contributions can give Mu∝t2M_u\propto t^2Mu∝t2. # Conformal/angle counting → large numbers: Conformal geometry reduces the degrees of freedom to angular ones; counting angular modes on a sphere of radius RRR yields a number scaling like R2/λ2R^2/\lambda^2R2/λ2 for modes of characteristic wavelength λ\lambdaλ. With λ\lambdaλ set by a microscopic scale (e.g., Compton wavelength of proton), the ratio becomes (R/λ)2∼(ct/λ)2(R/\lambda)^2\sim( c t / \lambda)^2(R/λ)2∼(ct/λ)2 — a squared large number ~10^80. # Mach’s principle realized via photon bath: Local inertial mass in QAT could depend on the global integrated photon bath coming from all matter. If the photon bath intensity seen by each atom depends on a global mass distribution whose net integrated effect scales as t2t^2t2, then inertial mass and gravitational coupling constants can inherit such time dependence. All of these are conceptually compatible with QAT’s emphasis on surface interactions, but each requires a clean mathematical model and must confront conservation and observational constraints.
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