Abstract
The Electron Ion Collider (EIC) is the next generation of precision QCD facility to be built at Brookhaven National Laboratory in conjunction with Thomas Jefferson National Laboratory. There are a significant number of software and computing challenges that need to be overcome at the EIC. During the EIC detector proposal development period, the ECCE consortium began identifying and addressing these challenges in the process of producing a complete detector proposal based upon detailed detector and physics simulations. In this document, the software and computing efforts to produce this proposal are discussed; furthermore, the computing and software model and resources required for the future of ECCE are described.
Original language | English |
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Article number | 167859 |
Journal | Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment |
Volume | 1047 |
DOIs | |
State | Published - Feb 2023 |
Funding
We thank the EIC Silicon Consortium for cost estimate methodologies concerning silicon tracking systems, technical discussions, and comments. We acknowledge the important prior work of projects eRD16, eRD18, and eRD25 concerning research and development of MAPS silicon tracking technologies. We thank the EIC LGAD Consortium for technical discussions and acknowledge the prior work of project eRD112. We acknowledge support from the Office of Nuclear Physics in the Office of Science in the Department of Energy, USA, the National Science Foundation, USA, and the Los Alamos National Laboratory Laboratory Directed Research and Development (LDRD), USA20200022DR.
Funders | Funder number |
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National Science Foundation | |
Los Alamos National Laboratory Laboratory Directed Research and Development | |
U.S. Department of Energy | |
Laboratory Directed Research and Development | |
Nuclear Physics | |
Japan Society for the Promotion of Science | 21J40048 |
Japan Society for the Promotion of Science |
Keywords
- Data acquisition
- Electron Ion Collider
- Federated computing