Abstract Poloidal flows and avalanches play a key role in tokamak plasma selforganization by suppressing turbulence sheared flow regions, contributing to the formation of weak transport barriers. These structures, predicted GYSELA simulations indirectly observed Tore Supra tokamak, are challenging detect due their millimeter-scale size. This study uses Ultra-Fast-Swept Reflectometer (UFSR), capable high spatial resolution signal-to-noise ratio, analyze characteristics, including flow-induced spectral asymmetries. 
The synthetic diagnostic FeDoT, developed for UFSR data interpretation, enables these structures using 2D wave propagation advanced signal processing routines. FeDoT demonstrate that coherence length, derived from reflectometer signals, closely aligns with radial structure electric field can be used staircases. Furthermore, asymmetry, indicative direction flows, is quantified novel chirality metric. findings validate use reflectometry detecting barriers, providing insights into interplay between transport.