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Monday, December 17, 2018
3:00 PM - 4:00 PM
CNLS Conference Room (TA-3, Bldg 1690)

Colloquium

Big Data Meets Big Models

Scott Pratt
Michigan State University

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