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.

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

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

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

Universal critical density ρ_T ≈ 20 g/cm³ from R ∝ M^(1/3) scaling. GNSS-calibrated (L_c ≈ 4200 km), validated across SPARC galaxies, Milky Way, magnetars. Temporal Topology screening reconciles galactic dynamics with GR tests. TEP Paper 6.

🕰️ Analyze 25 years of GNSS clock data to uncover correlations, ensuring reliable timekeeping across global networks.

A Monte Carlo simulation in Python to model vacuum-induced frequency drifts in atomic clocks, with code and visuals (experimental setup, simulated vs. real-world comparison, and drift graph), as described in "Probing Vacuum-Induced Clock Drifts via Quantum Metrology: A Testable Hypothesis" (DOI: 10.5281/zenodo.15163879). Licensed under GPL 3.0.

🌌 Explore dark matter dynamics with TEP-UCD, unifying atomic, galactic, and compact object scales through observed critical density patterns.