Ideas and Tools for Error Detection in Opacity Databases

In this article, we propose several ideas and tools in order to check the reliability of radiative opacity and atomic physics databases. We first emphasize that it can be useful to verify that mathematical inequalities, which impose lower and upper bounds on the Rosseland and/or Planck mean opacitie...

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Main Authors: Jean-Christophe Pain, Patricia Croset
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Atoms
Subjects:
Online Access:https://www.mdpi.com/2218-2004/11/2/27
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author Jean-Christophe Pain
Patricia Croset
author_facet Jean-Christophe Pain
Patricia Croset
author_sort Jean-Christophe Pain
collection DOAJ
description In this article, we propose several ideas and tools in order to check the reliability of radiative opacity and atomic physics databases. We first emphasize that it can be useful to verify that mathematical inequalities, which impose lower and upper bounds on the Rosseland and/or Planck mean opacities, are satisfied, either for pure elements or mixtures. In the second part, we discuss the intriguing law of anomalous numbers, also named Benford’s law, which enables one to detect errors in line-strength collections, required in order to perform fine-structure calculations. Finally, we point out and illustrate the importance of quantifying the uncertainties due to interpolations in the density-temperature opacity (or more generally atomic-data) tables and performing convergence checks, which are crucial in the accuracy-completeness compromise inherent in opacity computations.
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spelling doaj.art-a03b13e5a8cc44458e5f6e74fa2fc1c02023-11-16T19:04:47ZengMDPI AGAtoms2218-20042023-02-011122710.3390/atoms11020027Ideas and Tools for Error Detection in Opacity DatabasesJean-Christophe Pain0Patricia Croset1CEA, DAM, DIF, F-91297 Arpajon, FranceCEA, DAM, DIF, F-91297 Arpajon, FranceIn this article, we propose several ideas and tools in order to check the reliability of radiative opacity and atomic physics databases. We first emphasize that it can be useful to verify that mathematical inequalities, which impose lower and upper bounds on the Rosseland and/or Planck mean opacities, are satisfied, either for pure elements or mixtures. In the second part, we discuss the intriguing law of anomalous numbers, also named Benford’s law, which enables one to detect errors in line-strength collections, required in order to perform fine-structure calculations. Finally, we point out and illustrate the importance of quantifying the uncertainties due to interpolations in the density-temperature opacity (or more generally atomic-data) tables and performing convergence checks, which are crucial in the accuracy-completeness compromise inherent in opacity computations.https://www.mdpi.com/2218-2004/11/2/27radiative opacitydatabaseserror detectionopacity boundsmathematical inequalitiesThomas–Reiche–Kuhn sum rule
spellingShingle Jean-Christophe Pain
Patricia Croset
Ideas and Tools for Error Detection in Opacity Databases
Atoms
radiative opacity
databases
error detection
opacity bounds
mathematical inequalities
Thomas–Reiche–Kuhn sum rule
title Ideas and Tools for Error Detection in Opacity Databases
title_full Ideas and Tools for Error Detection in Opacity Databases
title_fullStr Ideas and Tools for Error Detection in Opacity Databases
title_full_unstemmed Ideas and Tools for Error Detection in Opacity Databases
title_short Ideas and Tools for Error Detection in Opacity Databases
title_sort ideas and tools for error detection in opacity databases
topic radiative opacity
databases
error detection
opacity bounds
mathematical inequalities
Thomas–Reiche–Kuhn sum rule
url https://www.mdpi.com/2218-2004/11/2/27
work_keys_str_mv AT jeanchristophepain ideasandtoolsforerrordetectioninopacitydatabases
AT patriciacroset ideasandtoolsforerrordetectioninopacitydatabases