4.5 Article

Opacity calculation for aluminum, iron, and gold plasmas using FLYCHK code

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jqsrt.2020.107369

Keywords

Opacity; FLYCHK; Planck mean opacity; Rosseland mean opacity; Population kinetics

Funding

  1. Institute for Basic Science of the Republic of Korea [IBS-R012-D1]
  2. National Research Foundation of Korea [NRF-2015R1A5A1009962, NRF-2019R1A2C2002864]
  3. Defense Research Laboratory Program of the Defense Acquisition Program Administration
  4. Agency for Defense Development of the Republic of Korea
  5. National Fusion Research Institute of Korea (NFRI) [CN2001]
  6. Ministry of Science & ICT (MSIT), Republic of Korea [IBS-R012] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  7. National Research Council of Science & Technology (NST), Republic of Korea [CN2001] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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The opacity information of a finite-temperature plasma is an important property and requires the population distribution of a given plasma condition. A population kinetic code for plasma spectroscopy, FLYCHK, has been widely used by researchers to study the spectroscopic properties of high-energy-density plasmas under a wide range of conditions. In this study, the FLYCHK calculation of the Planck and Rosseland mean opacities of lowto high-Z elements, such as aluminum (Z = 13), iron (Z = 26), and gold (Z = 79), under a wide temperature and density range (T = 10(-3)-10(2) keV, rho = 10(-6)-10(2) g/cc) is reported. This study mainly focused on the quantitative comparisons of FLYCHK opacities with commonly used opacities: ATOMIC and PROPACEOS. Comparisons show that the FLYCHK mean opacities are comparable to other results over a wide range of plasma conditions. Aluminum opacities were analyzed in detail to understand the characteristics of FLYCHK opacity simulations. (C) 2020 Elsevier Ltd. All rights reserved.

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