Workshop goals: To discuss collaboration opportunities between the Lithuanian / Baltic countries scientific research community and the CERN Compact Muon Solenoid (CMS) experiment in the areas of software engineering, data analytics and detector technologies. CMS is a high-energy collider experiment operating at the Large Hadron Collider (LHC) facility investigating the energy frontier of particle physics research. CMS relies on advanced particle detector technologies as well as extensive software and distributed computing infrastructure. CMS collaborators are investigating a range of detector and computing upgrades in light of a major facility upgrade next decade and an expected 20 year horizon for operations. Workshop presentations will cover research projects in CMS and Lithuania including software engineering for distributed computing and processor technologies, data analytics and high-luminosity LHC detector and software upgrades.
Audience: Professors, students and other researchers from Lithuanian universities, other Baltic countries and Finland (remote connection an option), as well as local industry partners interested in advanced software engineering, data science and computing techniques that may be applied to high-energy physics research.
Keywords:
- Machine learning
- Data analytics
- FPGA programming
- Advanced detector development
- Extremely fast pattern recognition techniques
- Cloud computing
- Low power architectures
- Multicore software architectures
- High luminosity LHC (HL-LHC)
- Big data processing and visualization
- Workflow management and Expert systems
