Data Analysis
Building on previous work, the Data Analysis Activity Area aims to eliminate the time spent by physicists working on monotonous and laborious tasks while performing physics analysis, and to make the publication of physics results efficient both in terms of human and computing resources.
To this end, the group will prioritise capturing the requirements of physics analysis across the HEP domain, aiming to gain a detailed understanding of the needs of physicists by direct consultation. Participation of those people actively involved in writing data analysis software, especially those with experience of publishing several analyses, will be critical to the group’s success.
As a close second priority, the group will work with pioneers of technology, both inside and outside of the HEP community. The goal is to build bridges between physics analysis experts and technical innovators, fostering collaboration between these two communities to produce optimal solutions to a well-defined set of problems.
Conveners
- Matthew Feickert, ATLAS and University of Wisconsin-Madison Data Science Institute
- Jamie Gooding, LHCb and Technische Universität Dortmund
- Luke Kreczko, CMS/LZ and University of Bristol
- Nick Smith, CMS and Fermilab
Contact the convenors by email
Former Convenors
- Alexander Held (ATLAS), 2023-2024
- Nicole Skidmore (LHCb), 2021-2023
- Danilo Piparo (ROOT), 2019
- Andrea Rizzi (CMS), 2019-2020
- Paul Laycock (Belle II), 2019-2020
- Chris Burr (LHCb), 2020
- TJ Khoo (ATLAS), 2020-2021
- Allison Hall (CMS) 2021-2022
- Stephan Hageboeck (ATLAS) 2021-2022