--- 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.

Multimodal high energy physics event

## Models Please see the linked model cards below for more details. - [clic/clusters/v1.6](clic/clusters/v1.6/README.md) - [clic/clusters/v1.9.0](clic/clusters/v1.9.0/README.md) - [clic/clusters/v2.0.0](clic/clusters/v2.0.0/README.md) - [clic/clusters/v2.1.0](clic/clusters/v2.1.0/pyg-clic_20241106_104416_929167/README.md) - [clic/clusters/v2.2.0](clic/clusters/v2.2.0/pyg-clic_20250106_193536_269746/README.md) - [cms/v2.1.0](cms/v2.1.0/pyg-cms_20241101_090645_682892/README.md) - [cms/v2.2.0](cms/v2.2.0/pyg-cms_20241212_101648_120237/README.md) ## 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