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  Uncertainties in Atomic Data for Modeling Astrophysical Charge Exchange Plasmas

Gu, L., Shah, C., & Zhang, R. (2022). Uncertainties in Atomic Data for Modeling Astrophysical Charge Exchange Plasmas. Sensors, 22(3): 752. doi:10.3390/s22030752.

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 Creators:
Gu, Liyi1, Author
Shah, Chintan2, Author           
Zhang , Ruitian1, Author
Affiliations:
1external, ou_persistent22              
2Division Prof. Dr. Thomas Pfeifer, MPI for Nuclear Physics, Max Planck Society, ou_2025284              

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 Abstract: Relevant uncertainties of theoretical atomic data are vital to determining the accuracy of plasma diagnostics in a number of areas, including, in particular, the astrophysical study. We present a new calculation of the uncertainties on the present theoretical ion-impact charge exchange atomic data and X-ray spectra, based on a set of comparisons with the existing laboratory data obtained in historical merged-beam, cold-target recoil-ion momentum spectroscopy, and electron beam ion traps experiments. The average systematic uncertainties are found to be 35-88% on the total cross sections, and 57-75% on the characteristic line ratios. The model deviation increases as the collision energy decreases. The errors on total cross sections further induce a significant uncertainty to the calculation of ionization balance for low-temperature collisional plasmas. Substantial improvements of the atomic database and dedicated laboratory measurements are needed to obtain the current models, ready for the X-ray spectra from the next X-ray spectroscopic mission.

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 Dates: 2022-01-19
 Publication Status: Published online
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 Identifiers: DOI: 10.3390/s22030752
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Title: Sensors
Source Genre: Journal
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Publ. Info: MDPI
Pages: - Volume / Issue: 22 (3) Sequence Number: 752 Start / End Page: - Identifier: ISSN: 1424-8220
CoNE: https://pure.mpg.de/cone/journals/resource/1424-8220