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Increasingly, sophisticated numerically intensive simulations are confronting large-scale heterogenous data sets. Often, the goal is to determine model parameters from the model/data comparison, and to quantitatively, and rigorously, express the constraints. In this talk we show how model emulators were employed to analyze data from the nuclear collisions of relativistic heavy ions performed at the LHC and at RHCI, with the aim of determining fundamental properties of the quark-gluon plasma. Host: Amy Lovell |