• Corpus ID: 119471455

HEP Software Foundation Community White Paper Working Group - Data Analysis and Interpretation

@inproceedings{Bauerdick2018HEPSF,
  title={HEP Software Foundation Community White Paper Working Group - Data Analysis and Interpretation},
  author={Lothar A.T. Bauerdick and Riccardo Maria Bianchi and Brian Paul Bockelman and Nuno Castro and Kyle Cranmer and Peter Elmer and Robert W. Gardner and Maria Girone and Oliver Gutsche and Benedikt Hegner and J. M. Hern'andez and Bo Jayatilaka and David Lange and Mark S. Neubauer and Daniel S. Katz and Lukasz Kreczko and James Letts and Shawn McKee and Christoph Paus and Kevin Pedro and James Pivarski and Martin Ritter and Eduardo Rodrigues and T. Sakuma and Elizabeth Sexton-Kennedy and Michael D. Sokoloff and Carl Vuosalo and Frank Wurthwein and Gordon T. Watts},
  year={2018}
}
At the heart of experimental high energy physics (HEP) is the development of facilities and instrumentation that provide sensitivity to new phenomena. Our understanding of nature at its most fundamental level is advanced through the analysis and interpretation of data from sophisticated detectors in HEP experiments. The goal of data analysis systems is to realize the maximum possible scientific potential of the data within the constraints of computing and human resources in the least time. To… 

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