"Mass is the energy cost of topological complexity. Heavier particles are simply more knotted spacetime."
To derive the mysterious mass hierarchy of quarks (e.g., Why is Top quark so heavy?) by mapping particle generations to Prime Knots of increasing crossing number.
In TARDIS, particles are stable topological solitons (knots) in the vacuum field.
We hypothesize that the mass
| Generation | Knot Type | Crossing Number ( |
Ideal Length ( |
|---|---|---|---|
| Gen 1 (u/d) | Trefoil ( |
3 | 16.37 |
| Gen 2 (c/s) | Figure-Eight ( |
4 | 21.17 |
| Gen 3 (t/b) | Cinquefoil ( |
5 | 23.55 |
We ran a regression analysis (simulation/knot_mass_fit.py) to fit this topological model to the observed quark masses.
The data shows a remarkable exponential correlation:
-
Up-Type Quarks (u, c, t):
- Scaling Law:
$M \propto e^{1.53 (L/D)}$ - Implication: Adding a single crossing (increasing
$L/D$ by ~3) increases curvature energy by$\approx e^{4.5} \approx 90\times$ , matching the huge jump to the Top quark.
- Scaling Law:
-
Down-Type Quarks (d, s, b):
- Scaling Law:
$M \propto e^{0.90 (L/D)}$ - Implication: A softer scaling, suggesting a different topological tension or "framing" for the down-sector.
- Scaling Law:
The "Generation Problem" is geometric.
- Generation 1 is the simplest knot (Trefoil).
- Generation 3 is the Cinquefoil knot. The mass is simply the energy required to "tie" spacetime into these progressively more complex configurations against the tension of the Lambda field.
-
simulation/: Python scripts to calculate knot energies (ROPE model).knot_mass_fit.py: Regression analysis.
-
analysis/: Generated plots. -
docs/: Theory papers.
