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Data Sampling methods in the ALICE O$^2$ distributed processing system
The ALICE experiment at the CERN LHC focuses on studying the quark-gluon plasma produced by heavy-ion collisions. Starting from 2021, it will see its input data throughput increase a hundredfold, up to 3.5 TB/s. To cope with such a large amount of data, a new online-offline computing system, called...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
2021
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| Acceso en línea: | https://dx.doi.org/10.1016/j.cpc.2020.107581 http://cds.cern.ch/record/2739401 |