  Magnetic reconnection is a ubiquitous phenomenon in turbulent plasmas. It is
an important part of the turbulent dynamics and heating of space and
astrophysical plasmas. We examine the statistics of magnetic reconnection using
a quantitative local analysis of the magnetic vector potential, previously used
in magnetohydrodynamics simulations, and now generalized to fully kinetic PIC
simulations. Different ways of reducing the particle noise for analysis
purposes including multiple smoothing techniques are explored. We find that a
Fourier filter applied at the Debye scale is an optimal choice for analyzing
PIC data. Finlay, we find a broader distribution of normalized reconnection
rates compared to the MHD limit with rates as large as 0.5 but with an average
of approximately 0.1.
