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distance-correlations

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Raw RINEX validation of distance-structured correlations in GNSS atomic clocks. Detects exponential decay signatures (λ≈1-4 km) in 539 stations using SPP with broadcast ephemerides, eliminating processing artifact hypothesis. Shows E-W>N-S anisotropy, CMB alignment, orbital coupling. TEP-GNSS Paper 3.

  • Updated Apr 29, 2026
  • Python

Multi-center analysis of 62.7M GNSS clock measurements revealing distance-structured correlations with exponential decay (λ = 3,330-4,549 km), consistent with screened scalar field predictions from the Temporal Equivalence Principle

  • Updated Apr 29, 2026
  • Python

25-year analysis of 165.2M GNSS clock measurements revealing persistent velocity-dependent correlations, orbital coupling (r=-0.888), 18.6-year lunar nutation detection, and CMB frame alignment, confirming decadal stability of TEP signatures

  • Updated Apr 29, 2026
  • Python

Empirical synthesis of 25.3 years GNSS timing data (165.2M pairs) revealing distance-structured correlations (λT=4,201±1,967 km) with TEP signatures: EW/NS anisotropy, orbital coupling (r=-0.888), CMB alignment (18.2°), planetary responses, nutation couplings

  • Updated Apr 29, 2026
  • HTML

Independent optical test of the Temporal Equivalence Principle using 11 years of LAGEOS satellite laser ranging data, revealing distance-structured correlations and spectral signatures consistent with conformal scalar field coupling

  • Updated Apr 29, 2026
  • Python

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