This work presents a unified approach to defining, measuring, and comparing detector nonlinearity across common methods, using computer simulations to reveal how data quality and polynomial choices shape results.

Readers will learn how to frame nonlinearity with a single definition, how different methods behave under real-world data, and how to choose the right polynomial order to balance accuracy and uncertainty. The text also explains how to interpret results for detectors or entire detection systems, not just a single sensor.

A unified mathematical framework for detector nonlinearity and cross-method comparison
Five widely used measurement methods and how they respond to data quality
How polynomial order and data uncertainties impact systematic and random errors
Practical guidance on choosing the method and setting up measurements

Ideal for readers working on optical power meters, detector calibration, and instrument accuracy in optical measurements.

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