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Measurement uncertainty estimation of a robust photometer circuit
Wilmar Hernandez1, Jesús de Vicente
1Department of Circuits and Systems in the EUIT de Telecomunicación at the Universidad Politécnica de Madrid (UPM), Campus Sur UPM, Ctra. Valencia km 7, Madrid 28031, Spain.
This study estimates the uncertainty of a robust photometer circuit (RPC) by treating it as a measurement system. Results confirm the robustness of the photodiode design, crucial for accurate light measurements.
Area of Science:
- Electrical Engineering
- Optical Metrology
- Measurement Science
Background:
- Photometer circuits (RPCs) are essential for precise light measurements.
- Understanding the uncertainty in RPCs is critical for reliable data acquisition.
- Previous studies have focused on RPC performance, but detailed uncertainty analysis is less explored.
Purpose of the Study:
- To estimate the uncertainty of a robust photometer circuit (RPC) by modeling it as a measurement system.
- To identify and quantify the influence of input quantity uncertainties on the RPC's output.
- To validate the robustness of the photodiode design through uncertainty estimation.
Main Methods:
- The RPC was modeled as a measurement system with inexact input and output quantities.
- Input quantities included electronic components, photodiode model parameters, and sensitivity at 670 nm.
- Output quantities represented the closed-loop transfer function coefficients of the RPC.
Main Results:
- The uncertainty of the RPC was systematically estimated based on input parameter variations.
- The transfer function's numerator and denominator coefficients were determined, along with their uncertainties.
- Gain and phase shift versus frequency were evaluated, including their uncertainties and correlation coefficients.
Conclusions:
- The uncertainty analysis confirms the inherent robustness of the photodiode design within the RPC.
- The methodology provides a framework for uncertainty estimation in similar photometer circuits.
- Accurate characterization of input quantities is vital for precise RPC performance evaluation.
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