Japan Geoscience Union Meeting 2022

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[E] Oral

P (Space and Planetary Sciences ) » P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

[P-EM10] Dynamics of Magnetosphere and Ionosphere

Thu. May 26, 2022 3:30 PM - 5:00 PM 303 (International Conference Hall, Makuhari Messe)

convener:Yuka Sato(Nippon Institute of Technology), convener:Akimasa Ieda(Institute for Space-Earth Environmental Research, Nagoya University), Akiko Fujimoto(Kyushu Institute of Technology), convener:Shun Imajo(Data Analysis Center for Geomagnetism and Space Magnetism, Graduate School of Science, Kyoto University), Chairperson:Yoshimasa Tanaka(National Institute of Polar Research), Naritoshi Kitamura(Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo)


4:00 PM - 4:15 PM

[PEM10-19] On the improvement of generalized auroral computed tomography

*Yoshimasa Tanaka1,2,3, Yasunobu Ogawa1,2,3, Mizuki Fukizawa4, Takeshi Sakanoi4, Keisuke Hosokawa5, Takuo T. Tsuda5, Shin ya Nakano6, Akira Kadokura1,2,3 (1.National Institute of Polar Research, 2.Polar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, 3.The Graduate University for Advanced Studies, SOKENDAI, 4.Planetary Plasma and Atmospheric Research Center, Graduate School of Science, Tohoku University, 5.The University of Electro-Communications, 6.The Institute of Statistical Mathematics)

Keywords:aurora, computed tomography, inverse problem, imager network, EISCAT radar

We have developed Generalized - Aurora Computed Tomography (G-ACT), which is a method for reconstructing three-dimensional distribution of auroral emission and differential flux of precipitating electrons from multi-instrument data, such as monochromatic images taken at multi-point imager network and ionospheric electron density data from radars. We believe that this method will be more effective when combined with the ionospheric electron density from the next-generation multiple-site phased-array incoherent scatter radar system, EISCAT_3D, which is planned to be operated in January 2023. To apply the G-ACT method to the multiple imager and EISCAT_3D radar data, we are currently improving the method. We present the improvement of the G-ACT method and the effect of the improved method on the reconstruction by simulation. In particular, we focus on the following points; (1) the determination of hyper-parameters including the correction factor for relative sensitivity between imagers, (2) the reconstruction using multi-wavelength monochromatic images, (3) the reconstruction using the electron density data considering its temporal variation, and (4) the validation of the reconstruction result by simulation under realistic conditions. Furthermore, we suggest the data analysis flow separately for discrete arcs and pulsating auroral patches.