2016
DOI: 10.3847/0004-637x/819/1/6
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A Proton-Cyclotron Wave Storm Generated by Unstable Proton Distribution Functions in the Solar Wind

Abstract: We use audification of 0.092 s cadence magnetometer data from the Wind spacecraft to identify waves with amplitudes 0.1 > nT nearthe ion gyrofrequency (∼0.1 Hz) with duration longer than 1 hr during 2008. We present one of the most common types of event for a case study and find it to be a proton-cyclotron wave storm, coinciding with highly radial magnetic field and a suprathermal proton beam close in density to the core distribution itself. Using linear Vlasov analysis, we conclude that the long-duration, la… Show more

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Cited by 70 publications
(66 citation statements)
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“…Finally, we note that experimentally measured distribution functions can be used to predict the fastest growing wave mode and its properties (Gary et al 2016;Jian et al 2016;Wicks et al 2016). Simultaneously observing the predicted waves and their properties using the method presented in this Letter would provide strong evidence for in situ plasma wave generation in the solar wind.…”
Section: Discussionmentioning
confidence: 78%
“…Finally, we note that experimentally measured distribution functions can be used to predict the fastest growing wave mode and its properties (Gary et al 2016;Jian et al 2016;Wicks et al 2016). Simultaneously observing the predicted waves and their properties using the method presented in this Letter would provide strong evidence for in situ plasma wave generation in the solar wind.…”
Section: Discussionmentioning
confidence: 78%
“…Analysis of the upper hybrid line via the technique of quasi-thermal noise spectroscopy (Meyer-Vernet & Perche 1989) yields an accurate measurement of n e unaffected by spacecraft potential. The unbiased value of n e measured by TNR is used to validate and refine the spacecraft potential correction, improving accuracy of the electron moments.The study is limited to data derived from velocity moments of the entire species over the observed energy ranges, e.g., we do not separate the electron data into the core, halo, or strahl components (e.g., Bale et al 2013;Pulupa et al 2014a;Horaites et al 2018) nor do we account for secondary proton beam contributions (e.g., Wicks et al 2016). We also do not separate the distributions by fast or slow solar wind speeds, as this will be addressed in detail in a future study that will also examine the subcomponents of each species (e.g., C. S. Salem et al 2018, in preparation).…”
mentioning
confidence: 99%
“…The automatic detection is carried out through dividing the long time series of solar wind magnetic fields into consecutive and overlapping time segments. Following the study by Zhao, Chu et al (), the sliding time segment is chosen to be 100 s with an overlap of 80 s, providing a frequency resolution of 0.01 Hz and a time resolution of 20 s. During the detection process for each segment, the magnetic field is first converted into a field‐aligned coordinate system with the z direction along the ambient magnetic field (i.e., an average field over the period of the segment) and the x ( y ) direction perpendicular (Gao et al, ; Wicks et al, ). Each time segment is filtered by a Hamming window to reduce edge effects (Bortnik et al, ).…”
Section: Data and Analysis Methodsmentioning
confidence: 99%
“…In recent years, a series of works were devoted to studies of ECWs concerning their observation, generation, and propagation (Boardsen et al, ; Jian et al, , , ; Omidi, Isenberg et al, ; Omidi, Russell et al, ; Wicks et al, ). Some results imply that (1) ECWs occur extensively and discretely in the solar wind, and (2) some wave characteristics depend on the heliocentric radial distance.…”
Section: Introductionmentioning
confidence: 99%