We found another way to calculate field-particle correlation.

Rui Huang

The field-particle correlation (FPC) technique, proposed by Klein & Howes ApJL (2016), enables the characterization of interactions between electromagnetic fields and plasma particles using single-point measurements of electric field and particle distribution functions. FPCs associated with distinct physical mechanisms exhibit characteristic patterns in velocity space. To properly characterize one mechanism, field and particle data must come from well-controlled datasets, i.e. those generated under conditions where a single mechanism dominates under carefully selected parameters. Previous studies have relied on computationally expensive simulation datasets and faced limitations in exploring features across varying critical plasma parameters.
In this seminar, we discuss a computationally-efficient method (based on Liouville's theorem) for generating such datasets, enabling the calculation of FPC and hence the characterization of certain mechanisms. We demonstrate its application using examples of ion Landau damping and ion cyclotron damping.