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CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics
One of the challenges of high granularity calorimeters, such as that to be built to cover the endcap region in the CMS Phase-2 Upgrade for HL-LHC, is that the large number of channels causes a surge in the computing load when clustering numerous digitized energy deposits (hits) in the reconstruction...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080903/ https://www.ncbi.nlm.nih.gov/pubmed/33937749 http://dx.doi.org/10.3389/fdata.2020.591315 |