Open LHC Monte Carlo Event Generation
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866918497771061248 |
|---|---|
| author | Bothmann, Enrico Butterworth, Jon Chen, Shu Erdogan, Eda Guerrieri, Giovanni Gütschow, Christian Habedank, Martin Hogan, Julie M. Keus, Venus Kraml, Sabine Le, Van Dung Lassila-Perini, Kati Mahbubani, Rakhi Marshall, Zach McCauley, Thomas Procter, Tomasz Reyes-González, Humberto Siodmok, Andrzej Albornoz, Mariana Vivas |
| author_facet | Bothmann, Enrico Butterworth, Jon Chen, Shu Erdogan, Eda Guerrieri, Giovanni Gütschow, Christian Habedank, Martin Hogan, Julie M. Keus, Venus Kraml, Sabine Le, Van Dung Lassila-Perini, Kati Mahbubani, Rakhi Marshall, Zach McCauley, Thomas Procter, Tomasz Reyes-González, Humberto Siodmok, Andrzej Albornoz, Mariana Vivas |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_12229 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Open LHC Monte Carlo Event Generation Bothmann, Enrico Butterworth, Jon Chen, Shu Erdogan, Eda Guerrieri, Giovanni Gütschow, Christian Habedank, Martin Hogan, Julie M. Keus, Venus Kraml, Sabine Le, Van Dung Lassila-Perini, Kati Mahbubani, Rakhi Marshall, Zach McCauley, Thomas Procter, Tomasz Reyes-González, Humberto Siodmok, Andrzej Albornoz, Mariana Vivas High Energy Physics - Phenomenology High Energy Physics - Experiment 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. |
| title | Open LHC Monte Carlo Event Generation |
| topic | High Energy Physics - Phenomenology High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2605.12229 |