Improved Calibration and Uncertainty Estimation Methods for Optical Radiometry

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School of Electrical Engineering | Doctoral thesis (article-based) | Defence date: 2024-11-29
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Date

2024

Department

Sähkötekniikan ja automaation laitos
Department of Electrical Engineering and Automation

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Mcode

Degree programme

Language

en

Pages

58 + app. 36

Series

Aalto University publication series DOCTORAL THESES, 257/2024

Abstract

This thesis focuses on developing and characterizing detectors, measurement setups, and methods tailored for optical radiometry. Additionally, emphasis is placed on the importance and methods of uncertainty estimation in metrology, aiming for reliable measurements. The predictable quantum efficient detector (PQED) ensures traceability of optical power to the SI system, making it a promising primary standard for detector calibration. The PQED is used to calibrate standard trap detectors, achieving an expanded uncertainty of 0.05% in the visible region. A comparative analysis with a cryogenic radiometer validates the PQED as a primary calibration standard. To extend calibration capabilities from the visible region upto the wavelength of 2000 nm, a portable tunable laser line setup is built. As a reference, the setup uses InGaAs and Ge detectors that are characterized against a pyroelectric radiometer. The tunable laser's increased spectral power reduces the expanded uncertainty from 4% to 2.2% - 2.6% across 820 nm - 1600 nm compared to older calibration methods at Metrology Research Institute (MRI). This thesis also discusses estimation of uncertainties and their correlations within the spectral mismatch factor of solar cells using Monte Carlo analysis. Our study assesses the uncertainties linked with the spectral mismatch factor (SMM) across various scenarios. We examine three scenarios: the worst-case scenario, where components are assumed to have severe correlation; the average scenario, where partial correlation is presumed; and the best-case scenario, where components are considered uncorrelated. The resulting expanded uncertainties (with a coverage factor k = 2) for these scenarios are 1.26%, 0.44%, and 0.06%, respectively. These figures represent the spectrum of potential uncertainties based on the assumed correlation conditions among the components involved in the SMM correction factor. The new method for calculating uncertainties benefits from prior knowledge of correlations. This knowledge is sought by analysing Consultative committee for photometry and radiometry (CCPR) key comparisons of radiometric quantities spectrally. This analysis provides insights into spectral correlations, aiding in the quantitative assessment of uncertainties in spectral integrals. Leveraging these insights, the uncertainty estimation methods in optical radiometry, including SMM and color-correlated temperature (CCT), are improved.

Description

Supervising professor

Ikonen, Erkki, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland

Thesis advisor

Kärhä, Petri, Doc., Aalto University, Department of Information and Communications Engineering, Finland

Keywords

calibration, Monte Carlo, spectral responsivity, uncertainty

Other note

Parts

  • [Publication 1]: Kinza Maham, Petri Kärhä, Farshid Manoocheri, and Erkki Ikonen. Optical power scale realization using the predictable quantum efficient detector. Journal of Physics: Conference Series, 2149 012006, February 2022.
    Full text in Acris/Aaltodoc: https://urn.fi/URN:NBN:fi:aalto-202202091863
    DOI: 10.1088/1742-6596/2149/1/012006 View at publisher
  • [Publication 2]: Kinza Maham, Anna Vaskuri, Farshid Manoocheri, and Erkki Ikonen. Calibration of Near-Infrared Detectors Using a Wavelength Tunable Light Source. Optical Review, 27 183 - 189, February 2020.
    Full text in Acris/Aaltodoc: https://urn.fi/URN:NBN:fi:aalto-202003062409
    DOI: 10.1007/s10043-020-00586-9 View at publisher
  • [Publication 3]: Kinza Maham, Petri Kärhä, and Erkki Ikonen. Spectral mismatch uncertainty estimation in solar cell calibration using Monte Carlo simulation. IEEE Journal of Photovoltaics, 13 899 - 904, November 2023.
    Full text in Acris/Aaltodoc: https://urn.fi/URN:NBN:fi:aalto-202310186526
    DOI: 10.1109/JPHOTOV.2023.3311890 View at publisher
  • [Publication 4]: Kinza Maham, Vili Kosonen, Juha Peltoniemi, Petri Kärhä, and Erkki Ikonen. Spectral analysis of deviations from key comparison reference values. Metrologia, 61 015002, January 2024.
    Full text in Acris/Aaltodoc: https://urn.fi/URN:NBN:fi:aalto-202401041215
    DOI: 10.1088/1681-7575/ad0c9e View at publisher

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https://urn.fi/URN:ISBN:978-952-64-2156-8

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[diss] Sähkötekniikan korkeakoulu / ELEC