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Detailed Regression Model of Plasma Sheet B y
Author(s) -
Petrukovich A. A.,
Lukin A. S.
Publication year - 2018
Publication title -
journal of geophysical research: space physics
Language(s) - English
Resource type - Journals
eISSN - 2169-9402
pISSN - 2169-9380
DOI - 10.1002/2017ja024993
Subject(s) - plasma sheet , interplanetary magnetic field , physics , linear regression , regression , magnetosphere , geodesy , plasma , solar wind , computational physics , statistical physics , geology , mathematics , statistics , quantum mechanics
In a statistical model plasma sheet B y primarily depends on interplanetary magnetic field (IMF)B y iand geodipole tilt τ . With 11 years of Geotail measurements we investigate a role of several other parameters with a linear regression model. Optimal averaging window of IMF input, maximizing correlation and regression coefficients, is found to be 2.25 hr. Influence of IMFB z iand local B z on IMF penetration (regression with regard toB y i ) and the deviations from the predefined warp deformation are at the level 5–10% relative to the primary model coefficients. The IMF penetration beyond 25 R E is somewhat larger for northward IMF, while closer to the Earth it becomes somewhat larger for southward IMF. These smaller effects turned out to be rather uneven across the tail, making reliable quantification and physical interpretation not always possible. The major reasons of difficulties are uneven coverage and internal correlations in the input space ( B y i – τ – B z i ) due to combination of spacecraft orbit and neutral sheet dynamics, effects of coordinate transformations, etc. In particular, origins of extremely large IMFB y ipenetration (order of 30–50% above the average one) for some years and tail locations remain not fully clear. A larger multispacecraft data set covering all seasons in all spatial zones is necessary to further advance in this study.