Open LHC Monte Carlo Event Generation

@misc{bothmann2026open,
  title = {{Open LHC Monte Carlo Event Generation}},
  author = {Enrico Bothmann and Jon Butterworth and Shu Chen and Eda Erdogan and Giovanni Guerrieri and Christian Gütschow and Martin Habedank and Julie M. Hogan and Venus Keus and Sabine Kraml and Van Dung Le and Kati Lassila-Perini and Rakhi Mahbubani and Zach Marshall and Thomas McCauley and Tomasz Procter and Humberto Reyes-González and Andrzej Siodmok and Mariana Vivas Albornoz},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2605.12229},
  eprint = {2605.12229},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.12229},
}

TY  - UNPB
TI  - Open LHC Monte Carlo Event Generation
AU  - Enrico Bothmann
AU  - Jon Butterworth
AU  - Shu Chen
AU  - Eda Erdogan
AU  - Giovanni Guerrieri
AU  - Christian Gütschow
AU  - Martin Habedank
AU  - Julie M. Hogan
AU  - Venus Keus
AU  - Sabine Kraml
AU  - Van Dung Le
AU  - Kati Lassila-Perini
AU  - Rakhi Mahbubani
AU  - Zach Marshall
AU  - Thomas McCauley
AU  - Tomasz Procter
AU  - Humberto Reyes-González
AU  - Andrzej Siodmok
AU  - Mariana Vivas Albornoz
PY  - 2026
DA  - 2026/10/12
PB  - arXiv
DO  - 10.48550/arxiv.2605.12229
UR  - https://arxiv.org/abs/2605.12229
AB  - 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.
ER  -