Bayesian modeling of collisional-radiative models applicable to thermal helium beam plasma diagnostics
Abstract
Thermal helium beam diagnostics using the line ratio spectroscopy method are widely used to infer temperature and density in fusion-relevant edge plasmas. These diagnostics consist of an observational system which measures emitted line radiation from either intrinsic or injected helium plasma impurities. These spectral features are then compared to the output of a collisional-radiative model to infer plasma parameters ($$T_e$$, $$n_e$$) from the observed helium radiation. In order to investigate the systematic uncertainties of such a diagnostic, we present the results of a Bayesian treatment of a helium collisional-radiative model (Schmitz et al., 2008) using synthetic data modeled after an existing system on the plasma experiment Wendelstein 7-X (Barbui et al. 2016). From this study, we present a new method for comprehensively combining measurement uncertainties with underlying atomic rate parameter uncertainties in the inference of plasma parameters. Finally, we also demonstrate the utility of this Bayesian approach in targeting sensitivities within the model, allowing determination of high-priority atomic data for future refinement and comparison between differing atomic models.
- Publication Date:
- Research Org.:
- Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States)
- Sponsoring Org.:
- USDOE; European Union (EU)
- OSTI Identifier:
- 1891577
- Alternate Identifier(s):
- OSTI ID: 1899102
- Grant/Contract Number:
- SC00013911; SC00014210; SC0013911; SC0014210; 101052200
- Resource Type:
- Published Article
- Journal Name:
- Nuclear Materials and Energy
- Additional Journal Information:
- Journal Name: Nuclear Materials and Energy Journal Volume: 33 Journal Issue: C; Journal ID: ISSN 2352-1791
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
- Subject:
- 70 PLASMA PHYSICS AND FUSION TECHNOLOGY; Bayesian inference; Collisional-radiative model; Helium spectroscopy; Plasma diagnostics
Citation Formats
Flom, E., Krychowiak, M., Schmitz, O., König, R., Barbui, T., Henke, F., Jakubowski, M., Kwak, S., Loch, S., Muñoz Burgos, J., and Svensson, J. Bayesian modeling of collisional-radiative models applicable to thermal helium beam plasma diagnostics. Netherlands: N. p., 2022.
Web. doi:10.1016/j.nme.2022.101269.
Flom, E., Krychowiak, M., Schmitz, O., König, R., Barbui, T., Henke, F., Jakubowski, M., Kwak, S., Loch, S., Muñoz Burgos, J., & Svensson, J. Bayesian modeling of collisional-radiative models applicable to thermal helium beam plasma diagnostics. Netherlands. https://doi.org/10.1016/j.nme.2022.101269
Flom, E., Krychowiak, M., Schmitz, O., König, R., Barbui, T., Henke, F., Jakubowski, M., Kwak, S., Loch, S., Muñoz Burgos, J., and Svensson, J. Sat .
"Bayesian modeling of collisional-radiative models applicable to thermal helium beam plasma diagnostics". Netherlands. https://doi.org/10.1016/j.nme.2022.101269.
@article{osti_1891577,
title = {Bayesian modeling of collisional-radiative models applicable to thermal helium beam plasma diagnostics},
author = {Flom, E. and Krychowiak, M. and Schmitz, O. and König, R. and Barbui, T. and Henke, F. and Jakubowski, M. and Kwak, S. and Loch, S. and Muñoz Burgos, J. and Svensson, J.},
abstractNote = {Thermal helium beam diagnostics using the line ratio spectroscopy method are widely used to infer temperature and density in fusion-relevant edge plasmas. These diagnostics consist of an observational system which measures emitted line radiation from either intrinsic or injected helium plasma impurities. These spectral features are then compared to the output of a collisional-radiative model to infer plasma parameters ($T_e$, $n_e$) from the observed helium radiation. In order to investigate the systematic uncertainties of such a diagnostic, we present the results of a Bayesian treatment of a helium collisional-radiative model (Schmitz et al., 2008) using synthetic data modeled after an existing system on the plasma experiment Wendelstein 7-X (Barbui et al. 2016). From this study, we present a new method for comprehensively combining measurement uncertainties with underlying atomic rate parameter uncertainties in the inference of plasma parameters. Finally, we also demonstrate the utility of this Bayesian approach in targeting sensitivities within the model, allowing determination of high-priority atomic data for future refinement and comparison between differing atomic models.},
doi = {10.1016/j.nme.2022.101269},
journal = {Nuclear Materials and Energy},
number = C,
volume = 33,
place = {Netherlands},
year = {Sat Oct 01 00:00:00 EDT 2022},
month = {Sat Oct 01 00:00:00 EDT 2022}
}
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https://doi.org/10.1016/j.nme.2022.101269
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