The \( \chi^2 \) approach used in the traditional analysis performed on the $^{46}$Ar data is extremely expensive from a computational stand because it involves the simulation of thousands of tracks for each recorded event.
These events are in turn simulated for each iteration of the Monte Carlo fitting sequence. Even though the reaction of interest in the above experiment had the largest cross section (elastic scattering), the time spent on Monte Carlo fitting of all of the events produced in the experiment was the largest computational bottleneck in the analysis. In the case of an experiment where the reaction of interest would represent less than a few percent of the total cross section, this procedure would become highly inefficient and prohibitive. Adding to this the large amount of data produced in this experiment (with even larger data sets expected in future experiments), the analysis simply begs for more efficient analysis tools.