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

Jan 1, 2018·
Lothar Bauerdick
,
Riccardo Maria Bianchi
,
Brian Bockelman
,
Nuno Castro
,
Kyle Cranmer
,
Peter Elmer
,
Robert Gardner
,
Maria Girone
,
Oliver Gutsche
,
Benedikt Hegner
,
Jose M. Hernandez
,
Bodhitha Jayatilaka
,
David Lange
Mark Neubauer
Mark Neubauer
,
Daniel S. Katz
,
Lukasz Kreczko
,
James Letts
,
Shawn Mckee
,
Christoph Paus
,
Kevin Pedro
,
Jim Pivarski
,
Martin Ritter
,
Eduardo Rodrigues
,
Tai Sakuma
,
Elizabeth Sexton Kennedy
,
Michael D. Sokoloff
,
Carl Vuosalo
,
Frank Wurthwein
,
Gordon Watts
· 1 min read
Abstract
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.
Type

Add the full text or supplementary notes for the publication here using Markdown formatting.

Mark Neubauer
Authors
University of Illinois at Urbana-Champaign
I am a professor at the University of Illinois. My research is highly interdisciplinary at the intersection of particle physics, AI/ML, and quantum, aiming to understand the universe at its fundamental level and to accelerate scientific discovery through innovation.
Authors