  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 paper uses b-quarks produced in the Wino chargino LSP decay to identify
parameters that best do so. Monte Carlo simulation found that parameters such
as the distance between Higgs bosons and the distance between b-jets were
relevant in selecting the most accurate small-R reconstructions. Truth data
analysis corroborated the paper's findings, especially for charginos with
higher mass. These parameters were then used to refine small-R jet selection,
increasing reconstruction efficiency across chargino masses. Further analysis
into large-R jet selection would enhance these results, especially at higher
chargino masses. A neural network would also prove useful for exploring the
effects of combinations of parameters across chargino masses.
