metadata
license: apache-2.0
tags:
- physics
- reconstruction
Overview
MLPF focuses on developing full event reconstruction based on computationally scalable and flexible end-to-end ML models.
Models
Please see the linked model cards below for more details.
- clic/clusters/v1.6
- clic/clusters/v1.9.0
- clic/clusters/v2.0.0
- clic/clusters/v2.1.0
- clic/clusters/v2.2.0
- cms/v2.1.0
- cms/v2.2.0
Papers
- Communications Physics, https://doi.org/10.1038/s42005-024-01599-5
- CERN-CMS-DP-2022-061, http://cds.cern.ch/record/2842375
- J. Phys. Conf. Ser. 2438 012100, http://dx.doi.org/10.1088/1742-6596/2438/1/012100
- CERN-CMS-DP-2021-030, https://cds.cern.ch/record/2792320
- EPJC, https://doi.org/10.1140/epjc/s10052-021-09158-w
Datasets
- MLPF-CLIC, raw data: https://zenodo.org/records/8260741 or https://www.coe-raise.eu/od-pfr
- MLPF-CLIC, processed for ML, tracks and clusters: https://zenodo.org/records/8409592
- MLPF-CLIC, processed for ML, tracks and hits: https://zenodo.org/records/8414225
- Delphes dataset: https://doi.org/10.5281/zenodo.4559324