Many Beyond the Standard Model searches at ATLAS employ jets to simplify event reconstruction. These jets cluster particle shower products into calculable objects, which are then used to obtain information about parent particles. Large-R (R = 1.0) jets combine these products into one jet that spans 2 radians, while small-R (R = 0.4) jets are used to further refine individual b-quark trajectories. Optimizing the use of jets is crucial for making precision measurements of Higgs bosons with high transverse momenta, and this project uses b-quarks produced in the Wino chargino LSP decay to identify parameters that best do so. It found that parameters such as the distance between Higgs bosons were relevant in selecting the most accurate reconstructions. While the relevance of parameters such as Higgs-lepton distance are unclear, a neural network would prove useful for exploring the effects of combinations of these parameters. Likewise, because a combination of the most accurate jet types increased signal efficiency, it would be useful to explore the effect of this varied-R method on background data for future search sensitivity.