Synopsis
Understand detector nonlinearity and how it affects optical power measurements, with practical paths to accurate corrections.
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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