Chronos Orbital Mapping: Predictive Time-Density Modeling of Planetary Motion

This paper introduces a novel gravitational modeling framework grounded in Chronos Theory, treating time as a structured, energetic field rather than a passive backdrop. We develop a predictive method to detect, map, and forecast the motion of planetary bodies based solely on perturbations in the time-density field surrounding a central star. Unlike conventional techniques that rely on photometric or Doppler signatures, Chronos Orbital Mapping identifies non-luminous planets by analyzing time-based field distortions.

The paper provides a mathematical foundation for simulating planetary orbits through time-density harmonics, presents inverse gradient fitting techniques to extract planetary signatures from telescope images, and generates 2D and 3D orbital reconstructions. These simulations are supported by an open-access Code Ocean capsule, enabling researchers to input real or synthetic time-density data and generate visual planetary system models. The resulting framework opens a path toward a new class of ephemerides and gravitational diagnostics, particularly useful for observing dark or occluded exoplanetary systems.