Skip to content
#

atomic-clocks

Here are 5 public repositories matching this topic...

Language: All
Filter by language

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 Dec 30, 2025
  • 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 Dec 30, 2025
  • 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 Dec 30, 2025
  • Python

Universal Critical Density: Unifying atomic, galactic, and compact object scales via gravitational solitons. Derives ρ_c ≈ 20 g/cm³ from GNSS clocks, validates across SPARC galaxies, magnetars, and Milky Way. TEP Paper 7.

  • Updated Dec 30, 2025
  • HTML

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.

  • Updated Apr 9, 2025
  • Python

Improve this page

Add a description, image, and links to the atomic-clocks topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the atomic-clocks topic, visit your repo's landing page and select "manage topics."

Learn more