up

clic/clusters/v1.9.0/README.md

@@ -54,7 +54,7 @@ The following datasets were used:
 /eos/user/j/jpata/mlpf/tensorflow_datasets/clic/clic_edm_ww_fullhad_pf/2.2.0
 ```
 
-They have an updated truth and target definition with respect to [Pata, J. et al, Commun Phys 7, 124 (2024)](https://doi.org/10.1038/s42005-024-01599-5): https://github.com/jpata/particleflow/pull/345
+The truth and target definition was updated in [jpata/particleflow#345](https://github.com/jpata/particleflow/pull/345) have an updated truth and target definition with respect to [Pata, J., Wulff, E., Mokhtar, F. et al. Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors. Commun Phys 7, 124 (2024)](https://doi.org/10.1038/s42005-024-01599-5).
 
 In particular, target particles for MLPF reconstruction are based on status=1 particles.
 For non-interacting status=1, nearby (dR<0.2) interacting status=0 are used instead.
@@ -136,9 +136,9 @@ singularity exec -B /scratch/persistent --nv \
 
 ## Glossary
 
-PF - particle flow reconstruction
-MLPF - machine learning for particle flow
-CLIC - Compact Linear Collider
+- PF: particle flow reconstruction
+- MLPF: machine learning for particle flow
+- CLIC: Compact Linear Collider
 
 ## Model Card Contact