Title: Data-driven models of hadronization
Abstract: I'll discuss recent and ongoing developments related to the tuning and construction of machine-learning-based models of hadronization. Specifically, I will discuss efforts related to the extraction of microscopic hadronization dynamics from macroscopic 'jet-level' observables as well as efforts related to fully differentiable hadronization tunes utilizing 'post-hoc' reweighting. Based on 2203.04983, 2308.13459, 2311.09296 and ongoing work.
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