Branch selection by a controlled beam-radius change resolves which of the reciprocal radius ratios is present in a centred Gaussian heterodyne overlap measurement. In reciprocal size-ratio ambiguity in centred Gaussian overlap, the efficiency is , with . Its local signed response is
An infinitesimal increase of the second radius therefore improves overlap when and worsens it when , provided curvature, displacement and polarization stay fixed.
A finite one-sided change needs more care. For a known multiplier , direct comparison gives
The threshold is below one because the finite change can overshoot the optimum. In an original example, is initially on the narrower-beam branch, with efficiency about . Increasing that radius by gives and efficiency about . The observed decrease alone would misclassify the initial branch if interpreted using the infinitesimal rule.
Use a symmetric beam-radius perturbation for overlap branch selection when two controlled settings are available. Compare with . Since the efficiency is an even, strictly decreasing function of , their difference is positive for , negative for , and zero at matching. In the same example with , the two efficiencies are about and , correctly selecting the initially narrower beam. The perturbation must be large enough to resolve above measurement noise.
NIST's physical heterodyne setup used beam combination, polarization control and single-mode collection to establish optical matching.[ref] A practical radius change must preserve those other mode properties; an arbitrary lens adjustment can change wavefront curvature as well and invalidate this one-variable diagnostic.
A symmetric beam-radius perturbation for overlap branch selection compares two controlled settings of one Gaussian beam radius: and , with known . Under the centred, matched-wavefront curvature model of reciprocal size-ratio ambiguity in centred Gaussian overlap, write
The hyperbolic secant form makes the symmetry explicit: the two settings evaluate the same even function at and . Their ordering identifies the sign of , as shown in branch selection by a controlled beam-radius change.
An original extension removes an unknown common scale and recovers the radius ratio itself. Suppose the two measured positive efficiencies satisfy
The factor is a shared multiplicative nuisance parameter, such as an unchanged response normalization. The symmetric log-overlap ratio eliminates it exactly:
For the last equality, use the addition formula for hyperbolic cosine to write the fraction as , where . The defining logarithmic identity for the inverse hyperbolic tangent completes the derivation. Because , is positive for the initially narrower beam, negative for the wider beam, and zero at matching.
The inversion of a symmetric Gaussian overlap log-ratio now gives
A finite radius ratio exists exactly when . This condition follows from ; equality is approached only as one radius ratio tends to zero or infinity. A measured log-ratio outside that interval has no finite solution in this ideal two-setting model.
For an original numerical example, take , true and unknown scale . The ideal readings are and . They give , recovering without supplying to the inversion. The physical bound is .
Figure 1.
Two symmetric radius settings remove a shared scale and determine the signed Gaussian radius mismatch
. Original exact model with radius multiplier 1.5 and common efficiency scale 0.75. The left panel shows the two efficiency readings; the right shows their scale-independent log-ratio, its limiting bounds and the worked radius ratio 0.8. All curves are analytical model predictions. Details.
Finite measurement noise still limits branch selection. For small relative errors, the delta method gives
A perfectly shared multiplicative fluctuation cancels sample by sample, paralleling common-gain cancellation in heterodyne overlap uncertainty. Independent relative standard uncertainties of in the two readings instead give . At the worked point, the derivative of the inverse gives , hence about relative standard uncertainty in . At exact matching the two branches coincide; a noisy sign cannot identify a distinct physical branch there.
These conclusions require and the other optical mode matching conditions to remain shared across the settings. Changing a lens can alter wavefront curvature and polarization as well as radius. NIST's physical heterodyne apparatus explicitly controlled polarization and spatial matching.[ref] Larger radius changes may strengthen the log-ratio response while lowering either measured efficiency and changing its noise. Step choice therefore depends on the apparatus and noise model.
Waist-size mismatch in optical heterodyne mode matching reduces interference even when the beam centres coincide. For two circular Gaussian fields with matching polarization and wavefront curvature, define their radius ratio . The centred overlap from Gaussian beam overlap under lateral displacement gives
Here is the beat-power fraction relative to a fully matched receiver at the same collected arm powers. Matching total power alone does not set .
An original tolerance calculation asks for . Solving the quadratic inequality gives
The allowed ratio is approximately to . With one radius , the other must be about – in this model. A radius gives only about beat power.
The interval has reciprocal endpoints because replacing by leaves the overlap unchanged. This reciprocal size-ratio ambiguity in centred Gaussian overlap means the beat magnitude alone cannot tell which beam is wider. Independent beam profiling or a known reference radius resolves that ambiguity.
NIST's heterodyne metrology setup used single-mode fibre and polarization matching to establish a calculable modulation rather than infer matching from collected power alone.[ref] The radius test above omits displacement, curvature mismatch, clipping and angular misalignment. Radii must be compared at the same receiving plane; equal spot sizes there do not by themselves establish the same full Gaussian optical mode.