CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics

Marco Rovere, Ziheng Chen, Antonio Di Pilato, Felice Pantaleo, Chris Seez

Open source

DOI: 10.3389/fdata.2020.591315
Published: 2020-11-27
Container: Frontiers in Big Data
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fdata.2020.591315,
  title = {CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics},
  author = {Marco Rovere and Ziheng Chen and Antonio Di Pilato and Felice Pantaleo and Chris Seez},
  year = {2020},
  journal = {Frontiers in Big Data},
  doi = {10.3389/fdata.2020.591315},
  url = {https://doi.org/10.3389/fdata.2020.591315}
}

RIS

TY  - JOUR
TI  - CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics
AU  - Marco Rovere
AU  - Ziheng Chen
AU  - Antonio Di Pilato
AU  - Felice Pantaleo
AU  - Chris Seez
PY  - 2020
JO  - Frontiers in Big Data
DO  - 10.3389/fdata.2020.591315
UR  - https://doi.org/10.3389/fdata.2020.591315
ER  -

APA

Rovere, M., Chen, Z., Pilato, A. D., Pantaleo, F., & Seez, C. (2020). CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics. Frontiers in Big Data. https://doi.org/10.3389/fdata.2020.591315

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crossref · retrieved 2026-09-25T03:15:31.649Z