Thermodynamic Mapping: Extracting Mass-Energy Tensors from Hilbert Space with Kelvin Temperature

This research methodology establishes a synthetic physics bridge between the visual abstraction of video data and the thermodynamic laws of General Relativity. By projecting 2D linework into a 3D Hilbert space, the system generates a "quantum mesh" where the total density of the geometric network is used to determine a frame's global mass. Following the Hawking Inversion Logic, this mass is then used to assign the frame to one of 40 discrete "Buckets" representing the Kelvin scale of a black hole (from $10^{-31}$ K to $10^{54}$ K). Within this assigned bucket, each individual mesh face is analyzed for its relative surface area; this area is mapped against a thermal Red-Yellow-Blue gradient to produce a scalar $K_{value}$. By treating the entire data structure as if it were a local singularity, the $K_{value}$ functions as a constant summation of temperature, effectively allowing us to render the "Gravity" of digital information and providing a platform to test the extraction of further fundamental physical laws directly from visual inputs.