Open LHC Monte Carlo Event Generation
Enrico Bothmann, Jon Butterworth, Shu Chen, Eda Erdogan, Giovanni Guerrieri, Christian G\"utschow, Martin Habedank, Julie M. Hogan, Venus Keus, Sabine Kraml, Van Dung Le, Kati Lassila-Perini, Rakhi Mahbubani, Zach Marshall, Thomas McCauley, Tomasz Procter
TL;DR
This paper discusses the move towards open sharing of Monte Carlo event data in LHC physics to reduce duplication, save resources, and benefit the physics community.
Contribution
It reviews current efforts, use cases, and future directions for open data sharing in LHC Monte Carlo event generation.
Findings
Open data sharing reduces resource consumption.
Sharing benefits the High Energy Physics community.
Examples of use cases and user experiences are provided.
Abstract
The LHC physics programme involves a vast amount of Monte Carlo event simulation. This paper reviews current efforts towards sharing the generated events as Open Data. Open Event Generation helps reduce duplication of effort and resource consumption, and benefits the whole High Energy Physics community. We give examples of use cases and user experiences, discuss financial and environmental savings, and suggest future directions.
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