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README.md
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- reconstruction
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---
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## Models
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Please see the linked model cards below for more details.
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- [clic/clusters/v2.0.0](clic/clusters/v2.0.0/README.md)
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- [clic/clusters/v2.1.0](clic/clusters/v2.1.0/pyg-clic_20241106_104416_929167/README.md)
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- [cms/v2.1.0](cms/v2.1.0/pyg-cms_20241101_090645_682892/README.md)
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- reconstruction
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---
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# Overview
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MLPF focuses on developing full event reconstruction based on computationally scalable and flexible end-to-end ML models.
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## Models
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Please see the linked model cards below for more details.
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- [clic/clusters/v2.0.0](clic/clusters/v2.0.0/README.md)
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- [clic/clusters/v2.1.0](clic/clusters/v2.1.0/pyg-clic_20241106_104416_929167/README.md)
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- [cms/v2.1.0](cms/v2.1.0/pyg-cms_20241101_090645_682892/README.md)
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## Papers
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- Communications Physics, https://doi.org/10.1038/s42005-024-01599-5
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- CERN-CMS-DP-2022-061, http://cds.cern.ch/record/2842375
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- J. Phys. Conf. Ser. 2438 012100, http://dx.doi.org/10.1088/1742-6596/2438/1/012100
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- CERN-CMS-DP-2021-030, https://cds.cern.ch/record/2792320
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- EPJC, https://doi.org/10.1140/epjc/s10052-021-09158-w
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## Datasets
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- MLPF-CLIC, raw data: https://zenodo.org/records/8260741 or https://www.coe-raise.eu/od-pfr
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- MLPF-CLIC, processed for ML, tracks and clusters: https://zenodo.org/records/8409592
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- MLPF-CLIC, processed for ML, tracks and hits: https://zenodo.org/records/8414225
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- Delphes dataset: https://doi.org/10.5281/zenodo.4559324
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