A Roadmap for HEP Software and Computing R&D for the 2020s
Abstrak
Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facilities and experiments, or to upgrade existing ones. Similarly, it requires commensurate investment in the R&D of software to acquire, manage, process, and analyse the shear amounts of data to be recorded. In planning for the HL-LHC in particular, it is critical that all of the collaborating stakeholders agree on the software goals and priorities, and that the efforts complement each other. In this spirit, this white paper describes the R&D activities required to prepare for this software upgrade. a meeting of the Machine Learning CWP working group. It was held as a parallel session at the Machine Learning (IML)” workshop, an organisation formed in 2016 to facilitate communication regarding R&D on ML applications in the LHC experiments. Description: This one-day workshop was organised to engage with the experimental HEP community involved in computing and software for Intensity Frontier experiments at FNAL. Plans for the CWP were described, with discussion about commonalities between the HL-LHC challenges and the challenges of the FNAL neutrino and muon experiments
Topik & Kata Kunci
Penulis (1)
E. Elsen
Akses Cepat
- Tahun Terbit
- 2019
- Bahasa
- en
- Total Sitasi
- 39×
- Sumber Database
- Semantic Scholar
- DOI
- 10.1007/s41781-019-0031-6
- Akses
- Open Access ✓