Symmetric-overlap normalization drift

ID: symmetric-overlap-normalization-drift

Symmetric-overlap normalization drift is a time-dependent change in the multiplicative scale of two overlap readings. The symmetric log-overlap ratio cancels one shared scale, but sequential settings need not experience that same scale.
Let the stable optical contributions at the two radius settings be and , and let
where . The ideal log-ratio is . A positive-setting reading at time 0 followed by a negative-setting reading at time instead gives . A drift in normalization can therefore mimic a signed radius mismatch.
An original four-reading design uses settings at equally spaced times . Form
The scale contribution vanishes exactly when is linear in time: both settings have the same mean observation time. This cancels linear drift in logarithmic scale, not arbitrary drift in every measured quantity.
If , the remaining drift contribution is . For stipulated , per time unit and , a simple two-reading comparison gives 0.03 under purely linear log-drift, while the four-reading design gives 0.05. Adding per squared time unit changes the latter to 0.056. These are analytical timing examples, not measurements from a beam experiment.
With independent equal log-readout variance , the four-reading estimator has variance , because it combines four coefficients of magnitude one half. A single two-reading difference has variance at half the acquisition count. Correlated noise and longer acquisition time can change the practical tradeoff.
State-dependent gain in symmetric overlap measurements does not cancel through this ordering. If the scale changes systematically with the radius-setting state, it remains confounded with . The optical mismatch must also remain stable over the sequence; a changing beam is not merely an electronic scale drift.
NIST controlled mode and polarization matching while calibrating the receiver's electrical response.[ref] The ordering above is an original drift-control calculation, not an attributed NIST procedure. Test its assumptions with timing records, repeated sequences and independent monitoring before feeding the resulting ratio into the radius inversion.

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