Mshpy23: a user-friendly, parameterized model of magnetosheath conditions
Lunar Environment heliospheric X-ray Imager (LEXI) and Solar wind−Magnetosphere−Ionosphere Link Explorer (SMILE) will observe magnetosheath and its boundary motion in soft X-rays for understanding magnetopause reconnection modes under various solar wind conditions after their respective launches in...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Science Press
2024-01-01
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| Series: | Earth and Planetary Physics |
| Subjects: | |
| Online Access: | http://www.eppcgs.org/article/doi/10.26464/epp2023065?pageType=en |
| _version_ | 1797347780341006336 |
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| author | Jaewoong Jung Hyunju Connor Andrew Dimmock Steve Sembay Andrew Read Jan Soucek |
| author_facet | Jaewoong Jung Hyunju Connor Andrew Dimmock Steve Sembay Andrew Read Jan Soucek |
| author_sort | Jaewoong Jung |
| collection | DOAJ |
| description | Lunar Environment heliospheric X-ray Imager (LEXI) and Solar wind−Magnetosphere−Ionosphere Link Explorer (SMILE) will observe magnetosheath and its boundary motion in soft X-rays for understanding magnetopause reconnection modes under various solar wind conditions after their respective launches in 2024 and 2025. Magnetosheath conditions, namely, plasma density, velocity, and temperature, are key parameters for predicting and analyzing soft X-ray images from the LEXI and SMILE missions. We developed a user-friendly model of magnetosheath that parameterizes number density, velocity, temperature, and magnetic field by utilizing the global Magnetohydrodynamics (MHD) model as well as the pre-existing gas-dynamic and analytic models. Using this parameterized magnetosheath model, scientists can easily reconstruct expected soft X-ray images and utilize them for analysis of observed images of LEXI and SMILE without simulating the complicated global magnetosphere models. First, we created an MHD-based magnetosheath model by running a total of 14 OpenGGCM global MHD simulations under 7 solar wind densities (1, 5, 10, 15, 20, 25, and 30 cm\begin{document}$^{-3}$\end{document}) and 2 interplanetary magnetic field \begin{document}$B_z$\end{document} components (± 4 nT), and then parameterizing the results in new magnetosheath conditions. We compared the magnetosheath model result with THEMIS statistical data and it showed good agreement with a weighted Pearson correlation coefficient greater than 0.77, especially for plasma density and plasma velocity. Second, we compiled a suite of magnetosheath models incorporating previous magnetosheath models (gas-dynamic, analytic), and did two case studies to test the performance. The MHD-based model was comparable to or better than the previous models while providing self-consistency among the magnetosheath parameters. Third, we constructed a tool to calculate a soft X-ray image from any given vantage point, which can support the planning and data analysis of the aforementioned LEXI and SMILE missions. A release of the code has been uploaded to a Github repository. |
| first_indexed | 2024-03-08T11:52:46Z |
| format | Article |
| id | doaj.art-d15fed6c80924920a04d405ab3b250ac |
| institution | Directory Open Access Journal |
| issn | 2096-3955 |
| language | English |
| last_indexed | 2024-03-08T11:52:46Z |
| publishDate | 2024-01-01 |
| publisher | Science Press |
| record_format | Article |
| series | Earth and Planetary Physics |
| spelling | doaj.art-d15fed6c80924920a04d405ab3b250ac2024-01-24T06:27:11ZengScience PressEarth and Planetary Physics2096-39552024-01-01818910410.26464/epp2023065SI8406-JungMshpy23: a user-friendly, parameterized model of magnetosheath conditionsJaewoong Jung0Hyunju Connor1Andrew Dimmock2Steve Sembay3Andrew Read4Jan Soucek5NASA Goddard Space Flight Center, Greenbelt, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USASwedish Institude of Space Physics, Uppsala, SwedenUniversity of Leicester, Leicester, UKUniversity of Leicester, Leicester, UKInstitute of Atmospheric Physics, Academy of Sciences of the Czech RepublicLunar Environment heliospheric X-ray Imager (LEXI) and Solar wind−Magnetosphere−Ionosphere Link Explorer (SMILE) will observe magnetosheath and its boundary motion in soft X-rays for understanding magnetopause reconnection modes under various solar wind conditions after their respective launches in 2024 and 2025. Magnetosheath conditions, namely, plasma density, velocity, and temperature, are key parameters for predicting and analyzing soft X-ray images from the LEXI and SMILE missions. We developed a user-friendly model of magnetosheath that parameterizes number density, velocity, temperature, and magnetic field by utilizing the global Magnetohydrodynamics (MHD) model as well as the pre-existing gas-dynamic and analytic models. Using this parameterized magnetosheath model, scientists can easily reconstruct expected soft X-ray images and utilize them for analysis of observed images of LEXI and SMILE without simulating the complicated global magnetosphere models. First, we created an MHD-based magnetosheath model by running a total of 14 OpenGGCM global MHD simulations under 7 solar wind densities (1, 5, 10, 15, 20, 25, and 30 cm\begin{document}$^{-3}$\end{document}) and 2 interplanetary magnetic field \begin{document}$B_z$\end{document} components (± 4 nT), and then parameterizing the results in new magnetosheath conditions. We compared the magnetosheath model result with THEMIS statistical data and it showed good agreement with a weighted Pearson correlation coefficient greater than 0.77, especially for plasma density and plasma velocity. Second, we compiled a suite of magnetosheath models incorporating previous magnetosheath models (gas-dynamic, analytic), and did two case studies to test the performance. The MHD-based model was comparable to or better than the previous models while providing self-consistency among the magnetosheath parameters. Third, we constructed a tool to calculate a soft X-ray image from any given vantage point, which can support the planning and data analysis of the aforementioned LEXI and SMILE missions. A release of the code has been uploaded to a Github repository.http://www.eppcgs.org/article/doi/10.26464/epp2023065?pageType=enmagnetosheathpythonmodeling |
| spellingShingle | Jaewoong Jung Hyunju Connor Andrew Dimmock Steve Sembay Andrew Read Jan Soucek Mshpy23: a user-friendly, parameterized model of magnetosheath conditions Earth and Planetary Physics magnetosheath python modeling |
| title | Mshpy23: a user-friendly, parameterized model of magnetosheath conditions |
| title_full | Mshpy23: a user-friendly, parameterized model of magnetosheath conditions |
| title_fullStr | Mshpy23: a user-friendly, parameterized model of magnetosheath conditions |
| title_full_unstemmed | Mshpy23: a user-friendly, parameterized model of magnetosheath conditions |
| title_short | Mshpy23: a user-friendly, parameterized model of magnetosheath conditions |
| title_sort | mshpy23 a user friendly parameterized model of magnetosheath conditions |
| topic | magnetosheath python modeling |
| url | http://www.eppcgs.org/article/doi/10.26464/epp2023065?pageType=en |
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