Radiative rejection
\[ P = \epsilon \sigma A T^4 \]
Steady-state cooling is governed by the Stefan-Boltzmann relation.
Physics reference
This page is the technical spine of The Light Between: the equations, scaling rules, and engineering consequences behind throughput-limited civilization. For the broader canon guide, start with Settings.
Thermal reality
Canonically, heat is not the explanation for everything, but it is the primary bottleneck for continuous, infrastructure-scale activity.
\[ P = \epsilon \sigma A T^4 \]
Steady-state cooling is governed by the Stefan-Boltzmann relation.
Higher radiator temperature cuts area requirements sharply, but raises material stress.
Solar power is abundant. The hard part is continuous high-power use without thermal collapse.
With \(\epsilon = 0.9\) and \(T = 1500\) K, radiative flux is about 258 kW/m², or roughly 3.87 km² of radiator per TW of waste heat.
Terms
| Installation | Waste Heat | Radiator area |
|---|---|---|
| Mercury Helioforge Cluster | ~40 TW | ~155 km2 |
| Cis-Lunar Power/Pop Hub | ~8 TW | ~31 km2 |
| Main Belt Metallurgy Swarm | ~10 TW | ~39 km2 |
| Sol Beam Accelerator Array | ~300 TW | ~1162 km2 |
Beam mechanics
Beam power, sail reflectivity, packet mass, wavelength, and aperture size all show up directly in the transport math. The equations are compact; the infrastructure they imply is not.
\[ F = \frac{(1+R)P}{c} \qquad a = \frac{(1+R)P}{mc} \]
Terms
A 100 TW beam pushing a 1,000 tonne packet yields about 667 kN and 0.67 m/s².
\[ P_{\text{absorbed}} = (1-R)\Phi \]
Terms
Small reflectivity losses become dangerous quickly at corridor power densities.
Dropping from \(R = 0.999\) to \(R = 0.99\) increases absorbed heat tenfold.
\[ \theta \approx \frac{1.22\lambda}{D} \]
Terms
Long-range beam coherence demands enormous apertures and enormous sails.
\[ E_{\text{beam}} = Pt_{\text{accel}} = \frac{mvc}{2} \] \[ t_{\text{accel}} = \frac{mvc}{2P} \] \[ \eta = \frac{v}{c} \]
Terms
Photon propulsion stays inefficient: about 3% at 0.03c, 5% at 0.05c, and 10% at 0.1c.
The diffraction relation is easiest to grasp when attached to actual corridor hardware. These examples are not handheld optics or single mirrors. They are distributed, phased optical systems operating as civilization-scale beam lenses.
| System | Typical role | Effective aperture | What that implies |
|---|---|---|---|
| Sol backbone array | Primary interstellar launch and return corridor work | ~10-20 km class | Extreme coherence, long beam-on campaigns, and the best shot at high-speed backbone traffic |
| Proxima legacy array | First-generation capture and relay infrastructure | ~6-10 km class | Capable but legacy-heavy, with more constraints from older standards and geometry compromises |
| Alpha Centauri outer capture stack | Precision routing, redirection, and independent return growth | ~8-12 km class | Built for cleaner capture authority and tighter alignment control than inherited Proxima systems |
| Tau Ceti designed array | High-performance mature corridor operations | ~10-15 km class | Better thermal culture and cleaner design assumptions make sustained precision easier to maintain |
| Epsilon Eridani field arrays | Environment-compensating launch and capture work | ~5-9 km class | Performance is limited less by raw ambition than by a harder-to-model operating environment |
| Wolf 1061 sovereignty arrays | Symbolic autonomy and late-route corridor capability | ~4-8 km class | Smaller and less efficient, but politically important because they create independent external interface |
As a rule of thumb, larger apertures buy tighter beams and smaller distant spot sizes, but only if the array can also maintain phase coherence, thermal stability, and pointing precision across the whole structure.
Cooling stack
If \(Q = mc_p\Delta T\), then a plausible refractory sink stores only about \(10^6\) J/kg.
\[ \dot{m} = \frac{\dot{Q}}{c_p \Delta T} \]
Terms
Rejecting 1 GW through expendable mass costs about 1,000 kg/s, or 86,400 tonnes per day.
Corridor energetics
These campaign figures follow directly from \(E = mvc/2\) and \(t = mvc/(2P)\): beam energy and beam time scale linearly with both payload mass and target cruise velocity.
| Payload | Cruise speed | Beam-on time | Beam energy |
|---|---|---|---|
| 1,000 t | 0.05c | ~65 days | ~1.1 × 1021 J |
| 1,000 t | 0.10c | ~130 days | ~2.2 × 1021 J |
| 100 t | 0.05c | ~6.5 days | ~1.1 × 1020 J |
Interstellar transport is low-volume and high-value. Bulk commodities do not justify the beam-time.
Capture geometry
\[ d_{\text{brake}} = \frac{v^2}{2a} \]
Terms
Because distance scales with the square of velocity, even modest speed increases make arrival much harder.
A 1,000 tonne packet under a 10 TW braking beam decelerates at roughly 0.067 m/s². From 0.1c, it needs about 0.71 light years to brake; from 0.05c, about 0.18 light years.
Those campaigns take roughly 14 years and 7 years respectively.
Quick reference
| Quantity | Expression | Note |
|---|---|---|
| Radiator area | \(A = P / \epsilon \sigma T^4\) | \(A\): area, \(P\): power, \(\epsilon\): emissivity, \(\sigma\): Stefan-Boltzmann constant, \(T\): temperature in kelvin |
| Photon force | \(F = (1+R)P/c\) | \(F\): force, \(R\): reflectivity, \(P\): beam power, \(c\): speed of light |
| Beam energy | \(E = mvc/2\) | \(E\): beam energy, \(m\): mass, \(v\): cruise velocity, \(c\): speed of light |
| Beam-on time | \(t = mvc/(2P)\) | \(t\): beam-on time, \(m\): mass, \(v\): cruise velocity, \(c\): speed of light, \(P\): beam power |
| Braking distance | \(d = v^2/(2a)\) | \(d\): braking distance, \(v\): velocity, \(a\): deceleration |
| Beam divergence | \(\theta = 1.22\lambda / D\) | \(\theta\): divergence angle, \(\lambda\): wavelength, \(D\): aperture diameter |