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.
Translated title of the contribution | Improved Calibration and Uncertainty Estimation Methods for Optical Radiometry |
---|---|
Original language | English |
Qualification | Doctor's degree |
Awarding Institution |
|
Supervisors/Advisors |
|
Publisher | |
Print ISBNs | 978-952-64-2155-1 |
Electronic ISBNs | 978-952-64-2156-8 |
Publication status | Published - 2024 |
MoE publication type | G5 Doctoral dissertation (article) |
Keywords
- calibration
- Monte Carlo
- spectral responsivity
- uncertainty