particleflow / README.md
Joosep Pata
update readme
d8246d6
---
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.
<p float="left">
<img src="images/pf_event.png" alt="Multimodal high energy physics event" width="800"/>
</p>
## 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