Authors: Valmir Moraes Filho (Catholic University at NASA/GSFC), Vadim Uritsky (Catholic University at NASA/GSFC), Barbara Thompson (NASA/GSFC), Sarah Gibson (UCAR), Craig DeForest (SwRI)

The Synthetic Corona Outflow Model (SynCOM) replicates solar corona dynamics using high-resolution observations to evaluate velocity measurement algorithms. SynCOM produces synthetic images illustrating radial reductions in polarized brightness and incorporates random elements for plasma outflows and noise. It employs a flow velocity probability distribution and a tunable signal-to-noise ratio to appraise data analysis methods for coronal flows. By adjusting parameters to specific coronal and instrumental conditions, SynCOM evaluates approaches for identifying coronal velocity and acceleration. Confirming these measurements helps in comprehending the origins of the solar wind and assists missions such as the Polarimeter to Unify the Corona and Heliosphere (PUNCH). This research showcases SynCOM’s utility in evaluating the accuracy and efficacy of two flow tracking methods, underlining its significance in establishing benchmarks for detecting coronal flows.