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The article discusses the challenges of estimating measurement uncertainty in photometric quantities derived from spectral data, highlighting the impact of spectral correlations. Using Monte Carlo simulations and orthogonal functions, the authors propose a method to better estimate these uncertainties by considering both fully and partially correlated contributions. The study emphasizes the importance of accurately modeling these correlations to avoid significant underestimations of measurement uncertainty

Author

perksrm

Language

EN