Simultaneous investigation of magnetospheric plasma and spacecraft charging

Novikov, L. S.; Mileev, V. N.; Krupnikov, K. K.; Makletsov, A.A.; Marjin, B. V.; Rjazantseva, M.O.; Sinolits, Vadim; Vlasova, N. A.

doi:10.1016/j.asr.2008.02.019

Cited by 8 publications

(5 citation statements)

References 7 publications

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“…Concerning the electron fluxes presented in Figure 12a and Figure 12c, the FE10k-15 min worst case is close to the fourth group of spectra from Novikov et al (2008), even though the comparison is only permitted up to 10 keV because the ELECTRO satellite was equipped with <10 keV particle detectors. There is less than a factor of 2 between them.…”

Section: Space Weathermentioning

confidence: 79%

“…It is referred by “Novikov fourth group”. Novikov et al () obtained four spectral shapes from soft environment not producing any surface charging (first group of spectra) to spectra with intensive high‐energy component, for which the mean energy is more than 5 keV (fourth group of spectra), that resulted in charging not only in the Earth's shadow, but also on the sunlit arcs of the orbit.…”

Section: Discussionmentioning

confidence: 99%

“…This figure also presents the electron spectral shape that produced negative charging on the Russian ELECTRO spacecraft. It is referred by "Novikov fourth group" Novikov et al (2008). obtained four…”

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confidence: 99%

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Spacecraft surface charging induced by severe environments at geosynchronous orbit

et al. 2018

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Severe and extreme surface charging on geosynchronous spacecraft is examined through the analysis of 16 years of data from particles detectors on‐board the Los Alamos National Laboratory spacecraft. Analysis shows that high spacecraft frame potentials are correlated with 10 to 50 keV electron fluxes, especially when these fluxes exceed 1 × 108 cm−2 s−1 sr−1. Four criteria have been used to select severe environments: 1) large flux of electrons with energies above 10 keV, 2) large fluxes of electrons with energies below 50 keV and above 200 keV, 3) large flux of electrons with energies below 50 keV and low flux with energies above 200 keV, and 4) long periods of time with a spacecraft potential below ‐ 5 kV. They occur preferentially during either geomagnetic storms or intense isolated substorms, during the declining phase of the solar cycle, during equinox seasons and close to midnight local time. The set of anomalies reported in Choi et al. (2011) is concomitant with a new database constructed from these events. The worst‐case environments exceed the spacecraft design guidelines by up to a factor of 10 for energies below 10 keV. They are fitted with triple Maxwellian distributions in order to facilitate their use by spacecraft designers as alternative conditions for the assessment of worst‐case surface charging.

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Section: Space Weathermentioning

confidence: 79%

Section: Discussionmentioning

confidence: 99%

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Spacecraft surface charging induced by severe environments at geosynchronous orbit

et al. 2018

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“…The energetic electron fluxes can vary over several orders within a short period during geomagnetic activity times Guo et al, 2021Guo et al, , 2023Shin et al, 2016;Thorne, 2010;Wang et al, 2023;Xiang et al, 2021). Energetic electrons can cause irreversible damage on satellites including deep medium charging and single event upset (Liu et al, 2021;Novikov et al, 2008;Pilipenko et al, 2006;Y. Zhao et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…The energetic electron fluxes can vary over several orders within a short period during geomagnetic activity times (Baker et al., 1997; Guo et al., 2021, 2023; Shin et al., 2016; Thorne, 2010; Wang et al., 2023; Xiang et al., 2021). Energetic electrons can cause irreversible damage on satellites including deep medium charging and single event upset (Liu et al., 2021; Novikov et al., 2008; Pilipenko et al., 2006; Y. Zhao et al., 2022). Consequently, understanding underlying physical mechanisms and predicting the variations of energetic electron fluxes at GEO are critical for the safety of spacecrafts.…”

Section: Introductionmentioning

confidence: 99%

Influences of Solar Wind Parameters on Energetic Electron Fluxes at Geosynchronous Orbit Revealed by the Deep SHAP Method

Wang,

Xiang,

et al. 2024

Space Weather

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Solar wind is an intermediary in energy transfer from the Sun into the Earth's magnetosphere, and is considered as a decisive driver of energetic electron dynamics at the geosynchronous orbit (GEO). Based on machine learning technology, several models driven by solar wind parameters have been established to predict GEO electron fluxes. However, the relative contributions of different solar wind parameters on GEO electron fluxes are still unclear. Recently, a feature attribution method, Deep SHapley Additive exPlanations (Deep SHAP) is proposed to open black boxes of machine learning models. In this study, we use the Deep SHAP method to quantify contributions of different solar wind parameters with an artificial neural network (ANN) model. Backpropagating the prediction results of this ANN model from 2011 to 2020, SHAP values for four solar wind parameters (interplanetary magnetic field (IMF) BZ, solar wind speed, solar wind dynamic pressure, and proton density) are calculated and comprehensively analyzed. The results suggest that solar wind speed with a lag of 1 day is the most important driver. We further investigate relative roles of different parameters in three specific electron fluxes variation events (corresponding to electron fluxes reaching a local maximum, a local minimum, and unchanged, respectively). The results suggest that high solar wind speed and southward IMF BZ (high dynamic pressures) facilitate increases (decreases) of electron fluxes. These findings help reveal the underlying physical mechanisms of GEO electron dynamics and help develop more accurate prediction models for GEO electron fluxes.

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Prediction of geosynchronous electron fluxes using an artificial neural network driven by solar wind parameters

Wang

Guo²,

Xiang³

et al. 2023

Advances in Space Research

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Simultaneous investigation of magnetospheric plasma and spacecraft charging

Cited by 8 publications

References 7 publications

Spacecraft surface charging induced by severe environments at geosynchronous orbit

Spacecraft surface charging induced by severe environments at geosynchronous orbit

Influences of Solar Wind Parameters on Energetic Electron Fluxes at Geosynchronous Orbit Revealed by the Deep SHAP Method

Prediction of geosynchronous electron fluxes using an artificial neural network driven by solar wind parameters

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