日本地球惑星科学連合2021年大会

講演情報

[E] ポスター発表

セッション記号 P (宇宙惑星科学) » P-EM 太陽地球系科学・宇宙電磁気学・宇宙環境

[P-EM12] Dynamics of the Inner Magnetospheric System

2021年6月5日(土) 17:15 〜 18:30 Ch.04

コンビーナ:桂華 邦裕(東京大学大学院理学系研究科地球惑星科学専攻)、三好 由純(名古屋大学宇宙地球環境研究所)、W Lauren Blum(University of Colorado Boulder)、Yuri Shprits(Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences)

17:15 〜 18:30

[PEM12-P03] An error estimation for energetic electron flux measured by the high-energy electron experiments (HEP) onboard the Arase satellite.

*堀 智昭1、三谷 烈史2、高島 健2、三好 由純1、篠原 育2 (1.名古屋大学宇宙地球環境研究所、2.宇宙航空研究開発機構)

We have developed an error estimation method for energetic electron flux data obtained by the high-energy electron experiments (HEP) onboard the Arase satellite. The error estimation is based on the assumption of counting statistics in which the error of raw electron counts measured by the HEP instrument is provided as a square root of the counts. The error propagation from the count error to a differential electron flux value, however, is not as simple as other types of particle instruments, such as electrostatic analyzers. This is because observed electron counts in each energy channel are contributed by not only incident electrons of the designated energy range but also those with energies higher than it, being a convolution of all such electrons. For this reason, we derive differential electron fluxes by applying “deconvolution” matrices, which have been developed with a set of Geant4 simulations best reproducing the response characteristics of the instrument. Accordingly, the same deconvolution needs to be applied also to the error of raw electron counts in order to correctly process the error propagation. The derived flux errors show a rough proportionality to the square root of the corresponding flux values, as expected from the above method. In addition, we confirm that a given flux value can have a range of flux error depending on the power law index of the energy spectrum of electron flux; the harder an energy spectrum is, the relatively larger the resultant flux error is. After initial check and brief validation studies, the preprocessed flux error values are going to be stored in an updated version of level-2 data files and then delivered to data users.