Methods & References
Technical spine for calculators and demos (CST timing, tunnel routing, curvature-invariant diagnostics, event-horizon planner). Version: v1.1
Assumptions
- Background cosmology: flat ΛCDM unless noted; defaults: H0 (km·s−1·Mpc−1), Ωm, ΩΛ, Ωk=0. Planck-like presets are provided in calculators.[P1]
- Units: distances in Gly (1 Gly = 109 ly). Speeds in ly/yr with
c = 1 ly/yr.
- Distance convention: comoving distance D0 for expansion/horizon logic.
- Recession speed:
v_rec = H0 · D0 (after consistent unit conversion for H0).
- Effective vehicle speed:
v_eff is a planner parameter for closing against the comoving grid; it does not assert local superluminal motion.
Equations
Reachability in an expanding universe
Under constant-H approximation the comoving separation obeys dD/dt = -v_eff + H0 · D. A target is reachable in this model iff v_eff > H0 · D0.
Time (given speed)
t = (1/H0) · ln( v_eff / (v_eff − H0·D0) )
Speed (given time T)
v_eff = (H0·D0) / (1 − e^{−H0·T})
Cosmology from redshift
Comoving distance from redshift z:
D_C = (c/H0) \u22c5 \int_0^z \frac{dz'}{E(z')},
with E(z) = \u221a[\,\Omega_m(1+z)^3 + \Omega_k(1+z)^2 + \Omega_\Lambda\,]. We integrate numerically (Simpson).[C1]
Navigation and matching
- Arrival matching: at arrival we null peculiar velocity to remain comoving with the local Hubble flow.
- Path-shortening tunnels: if a tunnel shortens geometric path by factor
W > 1, apparent speed scales like W · v_local while ensuring v_local ≤ c locally.
Curvature invariants as a diagnostic
We use scalar curvature invariants—coordinate-independent scalars built from the Riemann tensor—to visualize and compare warp-drive spacetimes without coordinate distortions.
Following recent curvature-invariant studies, we compute and plot these invariants for the Alcubierre and Natário metrics at constant velocity, varying velocity, skin depth, and radius to see how the shape function sculpts the bubble and exposes a “safe harbor.”
For constant-velocity Natário, the invariant plots do not show a wake; that feature appears in the accelerating Natário case, highlighting how acceleration changes curvature structure.
[W2, A3]
Why invariants? Invariants are independent of coordinate choices, so maps generated from them avoid coordinate mapping artifacts and give a cleaner view of geometric features (ridges, wakes, low-curvature pockets).
Positive-energy solitons as candidate sources
Separately, Lentz constructs a class of hyper-fast solitons in Einstein–Maxwell–plasma theory that can move effectively superluminal while being sourced by positive energy densities from classical EM fields and conducting plasma.
We treat such solitons as candidate stress-energy patterns that could, in principle, supply curvature profiles similar to those we diagnose via invariants (energy scales and stability remain open).
[P2]
How we combine them (workflow)
- Select a metric/soliton family: Alcubierre/Natário shape functions or Lentz-type solitons (metric-agnostic front-end).
- Evaluate curvature invariants: locate low-curvature “safe harbor,” identify wakes/ridges, and tune bubble geometry and skin depth.
- Map geometry to drive inputs: translate target curvature into field/shield set-points (EM/plasma distributions), constrained by CST timing and safety envelopes.
- Check cosmology: for intergalactic targets, compare required
v_eff to H0 · D0 (or compute D0 from redshift) to assess reachability/time-to-target.
- Export & reproduce: every calculator exposes Download Inputs/Load Inputs (JSON); advanced users can feed these into external toolchains.
Notes & cautions
- Energy & feasibility: macroscopic, stable configurations remain unproven; published analyses emphasize very large energy budgets and constraints.
- Interpretation of plots: curvature-invariant visualizations depend on parameter scales; cross-checks with physical stresses/energies are required.
- Scope of claim: this site offers planning/analysis tooling (navigation math, diagnostics, reproducibility), not a claim of today’s engineering readiness.
Reproducibility
Inputs/outputs: calculators expose Download Inputs / Load Inputs (JSON) for peer verification.
Parameters include version tags, H0, Ω, redshift/D0, mode (speed or time), and either veff or T.
External tools: JSON is designed to be adapter-friendly for third-party analyzers (e.g., warp-metric workbenches) when available.
A changelog appears on each calculator page.
Selected References
- W1 — Alcubierre, M. “The warp drive: hyper-fast travel within general relativity.” (1994). overview
- W2 — Natário, J. “Warp drive with zero expansion.” (2002). arXiv:gr-qc/0110086
- W3 — Bobrick, A., & Martire, G. “Introducing physical warp drives.” (2021). arXiv:2102.06824
- P2 — Lentz, E. W. “Breaking the warp barrier.” (2021). arXiv:2006.07125
- N1 — White, H. “Warp Field Mechanics 101.” NASA NTRS (2011). NTRS
- A3 — Curvature-invariant analyses of Alcubierre/Natário metrics (overview & examples). arXiv:2010.13693
- C1 — Hogg, D. “Distance measures in cosmology.” (1999). arXiv:astro-ph/9905116
- P1 — Planck Collaboration (2018). “Cosmological parameters.” arXiv:1807.06209
- O1 — Fermat’s principle; Brachistochrone; Calculus of Variations; Least Action; Hamiltonian mechanics — see encyclopedia overviews for context.
- O2 — Antikythera mechanism; Maya calendar; Metonic cycle; Egyptian decans — historical timekeeping references (encyclopedic overviews).
A full bibliographic PDF is available on the home page as “Reference Compendium (PDF)”.