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We employ different shapes of apodizing windows in the local correlationtracking (LCT) routine to retrieve horizontal velocities using numericalsimulations of convection. LCT was applied on a time sequence of temperaturemaps generated by the Nirvana code with four different apodizing windows,namely--Gaussian, Lorentzian, trapezoidal and triangular, with varying widths.In terms of correlations (between the LCT-retrieved and simulated flow field),the triangular and the trapezoidal perform the best and worst, respectively. Onsegregating the intrinsic velocities in the simulations on the basis of theirmagnitudes, we find that for all windows, a significantly higher correlation isobtained for the intermediate and high-velocity bins and only modest or weakvalues in the low-velocity bins. The differences between the LCT-retrieved andsimulated flow fields were determined spatially which show large residuals ator close to the boundary of granules. The extent to which the horizontal flowvectors retrieved by LCT compare with the simulated values, depends entirely onthe width of the central peak of the apodizing window for a given $\sigma$.Even though LCT suffers from a lack of spatial content as seen in simulations,its simplicity and speed could serve as a viable first-order tool to probehorizontal flows--one that is ideal for large data sets.

Analysing the effects of apodizing windows on local correlation tracking using Nirvana simulations of convection