| Autor: |
Michael Sokoloff, Oliver Gutsche, Riccardo-Maria Bianchi, Kevin Pedro, Lukasz Kreczko, Peter Elmer, David Lange, Bodhitha Jayatilaka, JoséM. Hernández, Shawn McKee, Daniel S. Katz, Carl Vuosalo, Robert Gardner, James Letts, Jim Pivarski, Tai Sakuma, Christoph Paus, Gordon Watts, Martin Ritter, Benedikt Hegner, Frank Würthwein, Kyle Cranmer, Nuno Filipe Castro, Maria Girone, Elizabeth Sexton-Kennedy, L. A. T. Bauerdick, Brian Bockelman, Eduardo Rodrigues |
| Rok vydání: |
2018 |
| Předmět: |
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| Popis: |
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 achieve this goal, future analysis systems should empower physicists to access the data with a high level of interactivity, reproducibility and throughput capability. As part of the HEP Software Foundation Community White Paper process, a working group on Data Analysis and Interpretation was formed to assess the challenges and opportunities in HEP data analysis and develop a roadmap for activities in this area over the next decade. In this report, the key findings and recommendations of the Data Analysis and Interpretation Working Group are presented. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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