Response-normalized tolerance for baseline-feasibility residuals
ID: response-normalized-tolerance-for-baseline-feasibility-residuals
A response-normalized tolerance for baseline-feasibility residuals measures a pulse estimator's constraint errors against physically chosen response limits. For residual , assign positive tolerances in the corresponding response units and calculateThe criterion means every specified response limit is satisfied. Numerical feasibility residual for baseline constraints explains why a raw unscaled norm alone has no universal physical interpretation.
These tolerances can enforce a deterministic bias budget. If signal and background coefficients are bounded by and , thenThe second inequality follows when the normalized test passes. The allocation of a deterministic bias budget among baseline constraints therefore connects a numerical acceptance criterion to a stated physical error allowance.
For an original example, bound the signal amplitude by , constant background by and drift rate by . Choose signal-response tolerance , constant-response tolerance and linear-time-response tolerance . Their maximum bias contributions are respectively , and , totaling . If all actual residuals are half these tolerances, and the corresponding bias bound is .
The normalized test can be invariant to constraint units. Multiplying one equation and its required response by a nonzero factor multiplies its residual by ; replacing its tolerance by keeps the ratio unchanged. The associated coefficient bound changes inversely, so the physical product is unchanged as well.
NIST's before/after pulse baselines supply a measurement setting where residual offset and drift responses matter.[ref]
Calibration Service for Low-level Pulsed-Laser Radiometers at 1.06 µm: Pulse Energy and Peak Power by Rodney W. Leonhardt. §3.5, printed p. 8; §7.2, Leakage Effect
The example bounds and tolerances are stipulated, not specifications of that apparatus. This deterministic leakage test is separate from noise variance, which needs the actual measurement covariance.[ref]Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results by Barry N. Taylor and Chris E. Kuyatt. Appendix A, equation A-3
Backgrounds outside the assumed family also need separate treatment. New to topics? Read the docs here!