What is calculated as part of evaluating the calibration process described?

• A. Computational uncertainty
• B. Azimuth bias
• C. Elevation error
• D. Time bias

Answer: (A)

When evaluating calibration, you’re looking at how certain you are about the calibration results, including how the math and computations themselves affect that certainty. Azimuth bias and elevation error describe systematic misalignments in angle measurements, and time bias refers to drift in timing. But beyond these sensor biases, you also quantify the uncertainty that comes from performing the calculations—finite precision, rounding, iterative solvers, and numerical approximations. This computational uncertainty tells you how much the calibration results could vary purely because of the way the numbers are computed, not because the hardware or measurements are different. It’s obtained by propagating input uncertainties through the calibration equations or using simulations to see how floating-point and algorithmic limits influence the outcome. That’s why computational uncertainty is the part you calculate when evaluating the calibration process.