Modeling the magnetospheric X-ray emission from solar wind charge exchange with verification from XMM-Newton observations

Whittaker, I.C. ORCID: 0000-0002-6211-1852, Sembay, S., Carter, J.A., Read, A.M., Milan, S.E. and Palmroth, M., 2016. Modeling the magnetospheric X-ray emission from solar wind charge exchange with verification from XMM-Newton observations. Journal of Geophysical Research: Space Physics, 121 (5), pp. 4158-4179. ISSN 2169-9380

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Abstract

An MHD‐based model of terrestrial solar wind charge exchange (SWCX) is created and compared to 19 case study observations in the 0.5–0.7 keV emission band taken from the European Photon Imaging Cameras on board XMM‐Newton. This model incorporates the Global Unified Magnetosphere‐Ionosphere Coupling Simulation‐4 MHD code and produces an X‐ray emission datacube from O7+ and O8+ emission lines around the Earth using in situ solar wind parameters as the model input. This study details the modeling process and shows that fixing the oxygen abundances to a constant value reduces the variance when comparing to the observations, at the cost of a small accuracy decrease in some cases. Using the ACE oxygen data returns a wide ranging accuracy, providing excellent correlation in a few cases and poor/anticorrelation in others. The sources of error for any user wishing to simulate terrestrial SWCX using an MHD model are described here and include mask position, hydrogen to oxygen ratio in the solar wind, and charge state abundances. A dawn‐dusk asymmetry is also found, similar to the results of empirical modeling. Using constant oxygen parameters, magnitudes approximately double that of the observed count rates are returned. A high accuracy is determined between the model and observations when comparing the count rate difference between enhanced SWCX and quiescent periods.

Item Type: Journal article
Publication Title: Journal of Geophysical Research: Space Physics
Creators: Whittaker, I.C., Sembay, S., Carter, J.A., Read, A.M., Milan, S.E. and Palmroth, M.
Publisher: Wiley-Blackwell
Date: May 2016
Volume: 121
Number: 5
ISSN: 2169-9380
Identifiers:
NumberType
10.1002/2015ja022292DOI
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 14 Jun 2019 11:30
Last Modified: 09 Aug 2019 11:42
URI: http://irep.ntu.ac.uk/id/eprint/36797

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