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Many Beyond the Standard Model searches at ATLAS employ jets to simplifyevent reconstruction. These jets cluster particle shower products intocalculable objects, which are then used to obtain information about parentparticles. Large-R (R = 1.0) jets combine these products into one jet thatspans 2 radians, while small-R (R = 0.4) jets are used to further refineindividual b-quark trajectories. Optimizing the use of jets is crucial formaking precision measurements of Higgs bosons with high transverse momenta, andthis paper uses b-quarks produced in the Wino chargino LSP decay to identifyparameters that best do so. Monte Carlo simulation found that parameters suchas the distance between Higgs bosons and the distance between b-jets wererelevant in selecting the most accurate small-R reconstructions. Truth dataanalysis corroborated the paper's findings, especially for charginos withhigher mass. These parameters were then used to refine small-R jet selection,increasing reconstruction efficiency across chargino masses. Further analysisinto large-R jet selection would enhance these results, especially at higherchargino masses. A neural network would also prove useful for exploring theeffects of combinations of parameters across chargino masses.

Optimizing Higgs Boson Reconstruction Efficiency with Small-R (R = 0.4) and Large-R (R = 1.0) Jets