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DIANA/HEP Fellowship for Matthew Feickert (Project Name is work in progress: DFGMark?)

license nbviewer SWAN

There are examples of how to use the tool in the form of Jupyter notebooks in the Notebooks directory.

Project Timeline

  • May 8th through May 21st

    • Create a GitHub repository for the project.
    • Design a template for binned models that is parametrized in terms of number of events, number of bins, number of channels, number of signal/background components, and number of parameters of interest and nuisance parameters.
      • See histfactorybench.py module
    • Begin documentation of the template model on the GitHub repository.
      • See Notebooks directory
  • May 22nd through June 4th

    • Establish a precise mathematical formulation that is implementation-independent based on the HistFactory schema.
    • Begin study of data flow graph frameworks or of probabilistic programming frameworks.
    • Implement the template for the benchmark models with a HistFactory script.
  • June 5th through June 18th

    • Conclude from study of data flow graph frameworks or of probabilistic programming frameworks which framework to pursue.
    • Begin implementation of the benchmark models in the selected framework.
    • Begin to write technical report.
  • June 19th through July 2nd

    • Finish implementation of the benchmark models in the selected framework.
    • Apply benchmarks evaluating framework data and model parallelism.
  • July 3rd through July 16th

    • Finish technical report.
    • Create tutorial on data flow graphs targeted for physicists.
  • July 17th through August 8th

    • Upstream software contributions to address the identified limitations (if any).
    • Development of/Contribution to a probabilistic framework (if time permits).

Authors

Primary Author: Matthew Feickert

Acknowledgments

This work is supported by the DIANA/HEP project, which if funded solely by the National Science Foundation (NSF ACI-1450310).

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Temporary repo for DIANA fellowship project

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