Calibrating spectrometers for measurements of the spectral irradiance caused by solar radiation

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Schinke, C.; Pollex, H.; Hinken, D.; Wolf, M.; Bothe, K. et al.: Calibrating spectrometers for measurements of the spectral irradiance caused by solar radiation. In: Metrologia 57 (2020), Nr. 6, 065027. DOI:

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Sum total of downloads: 131

Measuring the spectral irradiance of solar radiation is required in many fields of science and technology. In this work, we present an in-depth discussion of the measuring procedure and required corrections for such measurements. We also describe our measurement uncertainty analysis, which is based on a Monte-Carlo procedure in accordance with the Guide to the expression of uncertainty in measurement (JCGM, Paris, 2008). For this purpose, fifteen uncertainty sources are identified, analyzed and described analytically. As a specific application example, we describe the instrumentation and procedure for determining the spectral irradiance of a solar simulator at the ISO/IEC 17 025 accredited solar cell calibration laboratory ISFH CalTeC and the corresponding measurement uncertainty analysis. Moreover, we provide a Python implementation for this calculation along with the paper. We show that for state-of-the-art instrumentation, significant uncertainty contributions arise from the reference lamp (primary calibration standard), stray light and signal-to-noise ratio. If sharp spectral features are present (which is common, e.g. for Xenon lamps), spectral bandwidth and wavelength uncertainty also contribute significantly to the overall uncertainty. © 2020 BIPM & IOP Publishing Ltd
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 62 47.33%
2 image of flag of United States United States 18 13.74%
3 image of flag of Czech Republic Czech Republic 7 5.34%
4 image of flag of Netherlands Netherlands 6 4.58%
5 image of flag of Russian Federation Russian Federation 5 3.82%
6 image of flag of Italy Italy 5 3.82%
7 image of flag of United Kingdom United Kingdom 4 3.05%
8 image of flag of Thailand Thailand 3 2.29%
9 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 3 2.29%
10 image of flag of China China 3 2.29%
    other countries 15 11.45%

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