Sophie Kadan

Particle Physics Research at Upenn Atlas @Atlas Collaboration

First-authored publication improving Higgs boson decay reconstruction by pairing b-jets using mass asymmetry, jet distance, and angular proximity, demonstrating the effectiveness of small-R jets at lower chargino masses• Utilized Boosted Decision Trees (BDTs) and truth-level data to optimize jet pairing and distinguish signal from background in high-background environments, enhancing event reconstruction precision; Built code incorporating machine learning (ML) to identify b-quark/lepton decays via signal/background characteristics• Analyzed WZ production via unfolded measurements to assess EFT contributions and deviations from SM predictions; Coded SM vs. SM+EFT comparison model, targeting high-energy regions to quantify cW effects and enhance BSM sensitivity