STAT Working Group

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Data and Statistical Analysis Working Group (STAT)

Mission Statement

The Data and Statistics Working Group supports the mission of the JETSCAPE collaboration by

  • selecting and curating experimental data for comparison with the JET-patch and Jetscape codes and their use in the statistical analysis
  • determining which observables to perform the model-to-data comparison on
  • developing the workflow/procedure how to calculate the observables from the JET-patch and Jetscape codes in such a way that they can be compared to experimental data
  • developing a framework for training Gaussian Process Emulators on selected observables for the output of the JET-patch and Jetscape codes
  • performing Gaussian Process Emulator training for each version of these codes that is being compared to data
  • developing a package for distribution of trained emulators to go along with the respective releases of the Jetscape code
  • developing the framework for the model-to-data analysis, including emulators, PCA, and MCMC and develop/provide a respective code package
  • performing the model to data analysis to test physics models and interpret the resulting posterior distributions for each version/implementation of the Jetscape code
  • developing a set of tools for the evaluation of the performance of different physics models (i.e. tunes of the Jetscape code) regarding experimental data
  • assisting the collaboration with gaining physics insights from the outcome of the statistical analysis

Group Members

Conveners

  • Peter Jacobs (LBNL)
  • Raymond Ehlers (Berkeley)

PIs

  • Abhijit Majumder (WSU)
  • Steffen Bass (Duke)
  • Chun Shen (WSU)
  • Ulrich Heinz (OSU)
  • Peter Jacobs (LBNL)
  • Rainer Fries (TAMU)
  • Robert Wolpert (Duke)
  • Gunther Roland (MIT)
  • Christine Nattrass (Tennessee)
  • Ron Soltz (LLNL)

Postdoc Fellows

  • Raymond Ehlers (ORNL)
  • Matthew Kelsey (WSU)
  • Amit Kumar (McGill)
  • James Mulligan (UCB)
  • Chanwook Park (WSU)

Students and Postdocs

  • Yi Chen (MIT)
  • Daniel Pablos (McGill)
  • Lipei Du (OSU)
  • Gojko Vujanovic (WSU)
  • Jake Coleman (Duke)
  • James Mulligan (Berkeley)
  • Jean-Francois Paquet (Duke)
  • Tianyu Dai (Duke)
  • Wenkai Fan (Duke)
  • Weiyao Ke (Duke)
  • Yingru Xu (Duke)
  • Zhidong Yang (TAMU)
  • Mike McNelis (OSU)

Physics Outcomes

Bayesian extraction of jet coefficient

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This project is supported by National Science Foundation under Cooperative Agreements ACI-1550300 and OAC-2004571. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.