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Abstract:
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We describe our statistical exploration of shock physics problems, and in turn, materials science. We discuss physics model emulation using Bayesian multivariate adaptive regression splines (BMARS), sensitivity analysis, calibration of physics models, comparison of physics models, and incorporating multiple data sources. We show how these statistics tools can be used to answer important questions, such as: Which physics model should I use? What do the model parameters do? Which parameter settings best match reality? We present a case study specifically investigating the properties of Aluminum.
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