  We examine statistics of magnetic field vector components to explore how
intermittency evolves from near sun plasma to radial distances as large as 10
au. Statistics entering the analysis include auto-correlation, magnetic
structure functions of order n (SFn), and scale dependent kurtosis (SDK), each
grouped in ranges of heliocentric distance. The Goddard Space Flight Center
Space Physics Data Facility (SPDF) provides magnetic field measurements for
resolutions of 6.8ms for Parker Solar Probe, 6s for Helios, and 1.92s for
Voyager 1. We compute SF2 to determine the scales encompassing the inertial
range and examine SDK to investigate degree of non-Gaussianity.
Auto-correlations are used to resolve correlation scales. Correlation lengths
and ion inertial lengths provide an estimate of effective Reynolds number (Re).
Variation in Re allows us to examine for the first time the relationship
between SDK and Re in an interplanetary plasma. A conclusion from this observed
relationship is that regions with lower Re at a fixed physical scale have on
average lower kurtosis, implying less intermittent behavior. Kolmogorov refined
similarity hypothesis is applied to magnetic SFn and kurtosis to calculate
intermittency parameters and fractal scaling in the inertial range. A refined
Voyager 1 magnetic field dataset is generated.
