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We compare the size distributions of self-organized criticality (SOC) systemsin the solar photosphere and the transition region, using magnetogram data fromHelioseismic and Magnetic Imager (HMI) and Interface Region ImagingSpectrograph (IRIS)} data. For each dataset we fit a combination of a Gaussianand a power law size distribution function, which yields information on fourdifferent physical processes: (i) Gaussian random noise in IRIS data; (ii)spicular events in the plages of the transition region (described by power lawsize distribution in IRIS data); (iii) salt-and-pepper small-scale magneticstructures (described by the random noise in HMI magnetograms); and (iv)magnetic reconnection processes in flares and nanoflares (described by powerlaw size distributions in HMI data). We find a high correlation (CCC=0.90)between IRIS and HMI data. Datasets with magnetic flux balance are generallyfound to match the SOC-predicted power law slope a_F=1.80 (for mean fluxes F),but exceptions occur due to arbitrary choices of the HMI field-of-view. Thematching cases confirm the universality of SOC-inferred flux sizedistributions, and agree with the results of Parnell et al.~(2009), a_F=1.85+/- 0.14.

The Universality of Power Law Slopes in the Solar Photosphere and Transition Region Observed with HMI and IRIS