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

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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...

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Detalles Bibliográficos
Autores principales: Rovere, Marco, Chen, Ziheng, Di Pilato, Antonio, Pantaleo, Felice, Seez, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Big Data
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

Internet

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

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