Uncertainty quantification of a collisional-radiative model for hydrogen plasmas

Abstract A collisional-radiative model for the Balmer emission from low-temperature Hydrogen plasma is studied. The model is based on the most accurate cross sections available for the relevant processes. An uncertainty quantification study based on Polynomial Chaos expansion is performed for ionizing and recombining plasmas with conditions typical of the tandem discharge used in Neutral Beam sources for magnetically confined fusion reactors. Results show that uncertainties in the model results larger than a factor of 5 are obtained, much larger than the typical uncertainty in the measurements. The approach, however, allows to identify few processes that have the largest role in propagating the uncertainties and where increased accuracy has the largest impact.

Authors

Institutions

Publication Details

Journal
Physica Scripta
Published
2025-02-04
DOI
https://doi.org/10.1088/1402-4896/adb227
Citations
2
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
2.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uncertainty quantification of a collisional-radiative model for hydrogen plasmas

D. Bruno
2 citations
Physica Scripta
Ionosphere and magnetosphere dynamics
2.31
article

Uncertainty quantification of a collisional-radiative model for hydrogen plasmas

D. Bruno
article en
2 citations

Abstract

Abstract A collisional-radiative model for the Balmer emission from low-temperature Hydrogen plasma is studied. The model is based on the most accurate cross sections available for the relevant processes. An uncertainty quantification study based on Polynomial Chaos expansion is performed for ionizing and recombining plasmas with conditions typical of the tandem discharge used in Neutral Beam sources for magnetically confined fusion reactors. Results show that uncertainties in the model results larger than a factor of 5 are obtained, much larger than the typical uncertainty in the measurements. The approach, however, allows to identify few processes that have the largest role in propagating the uncertainties and where increased accuracy has the largest impact.

Physica ScriptaVol. 100(3)
Institute for the Science and Technology of Plasmas (IT)
Openalex Percentile: Top 13%
Ionosphere and magnetosphere dynamics
2.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.