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A recently proposed technique correlating electric fields and particlevelocity distributions is applied to single-point time series extracted fromlinearly unstable, electrostatic numerical simulations. The form of thecorrelation, which measures the transfer of phase-space energy density betweenthe electric field and plasma distributions and had previously been applied todamped electrostatic systems, is modified to include the effects of driftingequilibrium distributions of the type that drive counter-streaming andbump-on-tail instabilities. By using single-point time series, the correlationis ideal for diagnosing dynamics in systems where access to integratedquantities, such as energy, is observationally infeasible. The velocity-spacestructure of the field-particle correlation is shown to characterize theunderlying physical mechanisms driving unstable systems. The use of thiscorrelation in simple systems will assist in its eventual application toturbulent, magnetized plasmas, with the ultimate goal of characterizing thenature of mechanisms that damp turbulent fluctuations in the solar wind.

Characterizing Fluid and Kinetic Instabilities using Field-Particle Correlations on Single-Point Time Series