A gravitational-wave interferometer measures a strain h = ΔL/L in two perpendicular kilometre-scale arms. Its sensitivity is set by a noise budget — several independent noise processes added in quadrature into one amplitude spectral density (ASD):
h_total(f) = √( h_shot² + h_rp² + h_th² + h_seis² )
- Shot noise — photon-counting statistics at the output port: h_shot ≈ (1/L)·√(ħcλ / 2π²P). Higher laser power P narrows this floor — it dominates at high frequency.
- Radiation-pressure (back-action) noise — the same photons randomly kick the mirrors: h_rp ≈ √(8ħP/(cλ)) / (M·L·(2πf)²). It grows with power and falls off as 1/f², and shrinks with heavier mirror mass M — it dominates at low frequency.
- Standard Quantum Limit (SQL) — because shot noise falls with power while radiation-pressure noise rises with it, there is one frequency fSQL where the two are equal; no fixed laser power can beat both at once there. This sim marks that crossing live as you move the power and mass sliders — it is the same quantum trade-off that motivates squeezed-light injection in real detectors (LIGO, Virgo, KAGRA).
- Thermal noise — Brownian motion of the mirror-suspension fibres, roughly h_th ∝ 1/(√M·√f); it fills the mid-band "bucket" of the curve.
- Seismic noise — ground motion the isolation stack cannot filter below its cutoff frequency f₀; it rises steeply (∝ f⁻⁴) below f₀ and walls off the usable band at low frequency.
The pink dashed curve is a reference binary-neutron-star inspiral's characteristic strain (h_c ∝ f−7/6, GW170817-like amplitude). Wherever it sits above the total noise curve, that frequency band contributes signal-to-noise; the readout integrates (h_c/h_total)² over the plotted band as a rough SNR estimate — the same principle used to forecast whether a detector design can see a given merger.
All prefactors here are simplified for a single, non-power-recycled Michelson cavity — the shapes and trade-offs are physically real, but real detectors (Fabry-Pérot arm cavities, power/signal recycling, squeezed vacuum) push the curve roughly 2–3 orders of magnitude lower than this teaching model.