Dataset Open Access
Point cloud calorimeter shower datasets for multi-geometry pre-training: SimpleBox and LEMURS
Lorenzo Valente;
Thorsten Buss;
Henry Day-Hall;
Frank Gaede;
Gregor Kasieczka;
Katja Krüger;
Peter McKeown
BibTeX Export
@misc{lorenzo_valente_2026_19103,
author = {Lorenzo Valente and
Thorsten Buss and
Henry Day-Hall and
Frank Gaede and
Gregor Kasieczka and
Katja Krüger and
Peter McKeown},
title = {{Point cloud calorimeter shower datasets for multi-
geometry pre-training: SimpleBox and LEMURS}},
month = aug,
year = 2026,
doi = {10.25592/uhhfdm.19103},
url = {https://doi.org/10.25592/uhhfdm.19103}
}
- Publication date:
- August 17, 2026
- DOI:
-
- Keyword(s):
- calorimeter simulation fast simulation generative models point cloud Geant4 machine learning transfer learning high energy physics
- Related identifiers:
- Supplement to:
10.57967/hf/10040, 10.57967/hf/10041, https://github.com/FLC-QU-hep/AllShowers/tree/multi-geometry, https://github.com/FLC-QU-hep/PointCountFM/tree/multi-geometry, https://github.com/FLC-QU-hep/multi-calorimeter-dataset - Supplementary material:
https://arxiv.org/abs/2608.18233 - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International