Abstract

This paper introduces a novel ansatz in fundamental particle spectroscopy physics, building upon recent advancements in signal-to-noise distributions in space-time domains. It explores particle distributions emerging from dark matter quanta and presents a conceptual framework treating time as a rank-n-tensor wavefunction, scalarized into observable quantities. Gradient gravitational interactions linking quantum gravity to M-brane theory are incorporated onto map signal/noise metrics in a manifold matrix for particle spectra. The charge-to-mass ratios (e/m) are plotted against spin quanta for fermions, bosons, and gravitons. Graphical plots derived from these mappings suggest experimental designs for testing these hypotheses at particle accelerators, such as the Large Hadron Collider (LHC), providing insights into correlations between theoretical predictions and experimental results. The study also investigates quantum gravity, dark matter, and quantum mechanics across mesoscopic to astrophysical domains, incorporating field effects that manifest as spatial-temporal path-time evolution of matter and energy, linking past, present, and future through emergent evolutionary models, supported by mathematical graphing techniques for data processing.

Keywords

Particle Spectroscopy, Quantum Gravity, Spin Spectroscopy, Dark Matter, Charge-to-Mass Ratio